The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Sulfur isotopic trends and pathways of iron sulfide formation in upper Holocene sediments of the anoxic Black Sea
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Citations
Cites
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Cited by
Trace metals as paleoredox and paleoproductivity proxies: An update
Tribovillard, N., Algeo, T. J., Lyons, T., & Riboulleau, A. (2006) · Chemical Geology · doi:10.1016/j.chemgeo.2006.02.012 · Cited by 4,201
Self-citationAlgeo, T. J., & Lyons, T. W. (2006) · Paleoceanography · doi:10.1029/2004pa001112 · Cited by 1,194
Self-citationProterozoic Ocean Chemistry and Evolution: A Bioinorganic Bridge?
Anbar, A. D., & Knoll, A. H. (2002) · Science · doi:10.1126/science.1069651 · Cited by 1,191
Rickard, D., & Morse, J. W. (2005) · Marine Chemistry · doi:10.1016/j.marchem.2005.08.004 · Cited by 632
A critical look at iron paleoredox proxies: New insights from modern euxinic marine basins
Lyons, T. W., & Severmann, S. (2006) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2006.08.021 · Cited by 630
Self-citation
Metadata
- Authors
- Lyons, T. W.
- Venue
- Geochimica et Cosmochimica Acta
- Publisher
- Elsevier BV
- Published
- 1997-08
- Volume
- 61
- Issue
- 16
- Pages
- 3367-3382
- ISSN
- 0016-7037 (ISSN-L)
- OpenAlex
- W2043894211
- Cited by
- 275
- References
- 89
- FWCI
- 6.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: Sulfur isotopic trends and pathways of iron sulfide formation in upper Holocene sediments of the anoxic Black Sea. https://app.cochat.ai/papers/10.1016/s0016-7037(97)00174-9
- The paper
- Lyons, T. W. (1997). Sulfur isotopic trends and pathways of iron sulfide formation in upper Holocene sediments of the anoxic Black Sea. Geochimica et Cosmochimica Acta. https://doi.org/10.1016/s0016-7037(97)00174-9
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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.