The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Single-molecule chemistry
Abstract
The ability to probe individual atoms and molecules have made it possible to reveal properties which otherwise would be hidden in the study of an ensemble of atoms and molecules. The scanning tunneling microscope (STM) with its unmatched spatial resolution and versatility literally allows us to touch atoms and molecules one at a time and to carry out experiments which previously were only imagined. One of the great attributes of the STM is that it provides a real space view of the individual molecules and the atomic landscape of their environment, thus removing many of the uncertainties surrounding the nature of the system under study. Combining its imaging, manipulation, spectroscopic characterization, and chemical modification capabilities, the STM has enabled direct visualization of chemistry by revealing the fundamental properties of atoms and molecules and their interactions with each other and the environment. While femtosecond lasers have made it possible to study chemistry at the temporal limit, the STM provides an understanding of chemistry at the spatial limit.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Aharonov–Bohm oscillations in carbon nanotubes
Bachtold, A., Strunk, C., Salvetat, J.-P., Bonard, J.-M., Forró, L., Nussbaumer, T., & Schönenberger, C. (1999) · Nature · doi:10.1038/17755 · Cited by 798
Direct observation of single kinesin molecules moving along microtubules
Vale, R. D., Funatsu, T., Pierce, D. W., Romberg, L., Harada, Y., & Yanagida, T. (1996) · Nature · doi:10.1038/380451a0 · Cited by 711
Coupling of kinesin steps to ATP hydrolysis
Hua, W., Young, E. C., Fleming, M. L., & Gelles, J. (1997) · Nature · doi:10.1038/41118 · Cited by 358
Cited by
Metzger, R. M. (2015) · Chemical Reviews · doi:10.1021/cr500459d · Cited by 380
Metadata
- Authors
- Ho, W.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2002-12-22
- Volume
- 117
- Issue
- 24
- Pages
- 11033-11061
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2047973394
- Cited by
- 653
- References
- 3
- FWCI
- 24.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Single-molecule chemistry. https://app.cochat.ai/papers/10.1063/1.1521153
- The paper
- Ho, W. (2002). Single-molecule chemistry. The Journal of Chemical Physics. https://doi.org/10.1063/1.1521153
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.