Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 508

The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.

Advances in multicellular spheroids formation

Open access
Cui, X., Hartanto, Y., Zhang, H.·2017·Journal of The Royal Society Interface

Abstract

Three-dimensional multicellular spheroids (MCSs) have a complex architectural structure, dynamic cell–cell/cell–matrix interactions and bio-mimicking in vivo microenvironment. As a fundamental building block for tissue reconstruction, MCSs have emerged as a powerful tool to narrow down the gap between the in vitro and in vivo model. In this review paper, we discussed the structure and biology of MCSs and detailed fabricating methods. Among these methods, the approach in microfluidics with hydrogel support for MCS formation is promising because it allows essential cell–cell/cell–matrix interactions in a confined space.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1098/rsif.2016.0877

Cites

138 of 138 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 138 references

Research works printed but not linked: 3

  1. Kim JB, 2005, Three-dimensional tissue culture models in cancer biology. Seminars in cancer biology
  2. 10.1063/1.3516657 · doi:10.1063/1.3516657
  3. 10.1021/la902827y · doi:10.1021/la902827y

Cited by

See all 508

Metadata

Authors
Cui, X., Hartanto, Y., & Zhang, H.
Venue
Journal of The Royal Society Interface
Published
2017-02
Volume
14
Issue
127
Pages
20160877
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2588271989
Cited by
508
References
138
FWCI
17.11
Type
journal article
Language
en
Open access
green
Licence
royalsociety.org/journals/ethics-policies/data-sharing-mining/ (tdm)
Funders
  • Medical Advances Without Animals Trust
  • Australian Research Council (DP160104632)

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: Advances in multicellular spheroids formation. https://app.cochat.ai/papers/10.1098/rsif.2016.0877
The paper
Cui, X., Hartanto, Y., & Zhang, H. (2017). Advances in multicellular spheroids formation. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2016.0877

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.