Steve C. Wang

3.3k total citations
44 papers, 2.3k citations indexed

About

Steve C. Wang is a scholar working on Paleontology, Ecology and Artificial Intelligence. According to data from OpenAlex, Steve C. Wang has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Paleontology, 7 papers in Ecology and 7 papers in Artificial Intelligence. Recurrent topics in Steve C. Wang's work include Evolution and Paleontology Studies (21 papers), Paleontology and Stratigraphy of Fossils (20 papers) and Paleontology and Evolutionary Biology (12 papers). Steve C. Wang is often cited by papers focused on Evolution and Paleontology Studies (21 papers), Paleontology and Stratigraphy of Fossils (20 papers) and Paleontology and Evolutionary Biology (12 papers). Steve C. Wang collaborates with scholars based in United States, United Kingdom and Germany. Steve C. Wang's co-authors include Richard K. Bambach, Andrew H. Knoll, Jonathan L. Payne, Stephen L. Brusatte, Graeme T. Lloyd, Mark A. Norell, Peter Dodson, Andrea Dunaif, Rhonda Bentley–Lewis and Richard S. Legro and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Steve C. Wang

42 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steve C. Wang United States	23	1.5k	412	395	366	354	44	2.3k
Richard K. Olsson United States	29	2.1k 1.4×	2.5k 6.0×	689 1.7×	865 2.4×	124 0.4×	81	3.5k
Kate Trinajstic Australia	24	1.2k 0.8×	121 0.3×	122 0.3×	49 0.1×	709 2.0×	78	1.7k
Louis L. Jacobs United States	38	3.3k 2.2×	588 1.4×	1.1k 2.8×	40 0.1×	1.2k 3.4×	136	4.4k
Patricia Vickers-Rich Australia	30	2.5k 1.6×	314 0.8×	281 0.7×	133 0.4×	1.2k 3.3×	116	2.8k
Antoni Hoffman Poland	18	810 0.5×	447 1.1×	203 0.5×	310 0.8×	76 0.2×	64	1.3k
Michael Foote United States	25	1.8k 1.2×	719 1.7×	516 1.3×	616 1.7×	317 0.9×	37	2.3k
Helen Roe United Kingdom	29	375 0.2×	1.6k 3.8×	926 2.3×	241 0.7×	17 0.0×	93	2.2k
Simon J. Braddy United Kingdom	27	1.8k 1.2×	897 2.2×	321 0.8×	659 1.8×	362 1.0×	91	2.6k
Alycia L. Stigall United States	26	1.2k 0.8×	542 1.3×	519 1.3×	533 1.5×	270 0.8×	83	1.8k
Peter D. Roopnarine United States	24	734 0.5×	349 0.8×	618 1.6×	425 1.2×	214 0.6×	66	1.6k

Countries citing papers authored by Steve C. Wang

Since Specialization

Citations

This map shows the geographic impact of Steve C. Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steve C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve C. Wang more than expected).

Fields of papers citing papers by Steve C. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve C. Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steve C. Wang. The network helps show where Steve C. Wang may publish in the future.

Co-authorship network of co-authors of Steve C. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Steve C. Wang. A scholar is included among the top collaborators of Steve C. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve C. Wang. Steve C. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Etemad‐Saeed, Najmeh, Shuhai Xiao, Steve C. Wang, Kristin Bergmann, & Andrew H. Knoll. (2025). Carbonaceous macrofossils from the Ediacaran–Cambrian lower shale member of the Soltanieh formation, Northwestern Iran. Precambrian Research. 419. 107722–107722.

Heim, Noel A., Douglas J. McCauley, Jonathan L. Payne, et al.. (2021). A global ecological signal of extinction risk in terrestrial vertebrates. Conservation Biology. 36(3). e13852–e13852. 46 indexed citations

Du, Andrew, John Rowan, Steve C. Wang, Bernard Wood, & Zeresenay Alemseged. (2019). Statistical estimates of hominin origination and extinction dates: A case study examining the Australopithecus anamensis–afarensis lineage. Journal of Human Evolution. 138. 102688–102688. 29 indexed citations

Bush, Andrew M., Steve C. Wang, Jonathan L. Payne, & Noel A. Heim. (2019). A framework for the integrated analysis of the magnitude, selectivity, and biotic effects of extinction and origination. Paleobiology. 46(1). 1–22. 19 indexed citations

Heim, Noel A., Jonathan L. Payne, Seth Finnegan, et al.. (2017). Hierarchical complexity and the size limits of life. Proceedings of the Royal Society B Biological Sciences. 284(1857). 20171039–20171039. 34 indexed citations

Wang, Steve C., et al.. (2016). Adaptive credible intervals on stratigraphic ranges when recovery potential is unknown. Paleobiology. 42(2). 240–256. 19 indexed citations

Wang, Steve C. & Charles R. Marshall. (2016). Estimating times of extinction in the fossil record. Biology Letters. 12(4). 20150989–20150989. 36 indexed citations

Heim, Noel A., Matthew L. Knope, Ellen K. Schaal, Steve C. Wang, & Jonathan L. Payne. (2015). Cope’s rule in the evolution of marine animals. Science. 347(6224). 867–870. 141 indexed citations

Schaal, Ellen K., et al.. (2015). Comparative size evolution of marine clades from the Late Permian through Middle Triassic. Paleobiology. 42(1). 127–142. 37 indexed citations

10.

Wang, Steve C., et al.. (2012). Confidence intervals for the duration of a mass extinction. Paleobiology. 38(2). 265–277. 10 indexed citations

11.

Wang, Steve C., et al.. (2009). Optimal estimators of the position of a mass extinction when recovery potential is uniform. Paleobiology. 35(3). 447–459. 13 indexed citations

12.

Payne, Jonathan L., Alison G. Boyer, James H. Brown, et al.. (2008). Two-phase increase in the maximum size of life over 3.5 billion years reflects biological innovation and environmental opportunity. Proceedings of the National Academy of Sciences. 106(1). 24–27. 185 indexed citations

13.

Wang, Steve C. & Andrew M. Bush. (2008). Adjusting global extinction rates to account for taxonomic susceptibility. Paleobiology. 34(4). 434–455. 22 indexed citations

14.

Finnegan, Seth, Jonathan L. Payne, & Steve C. Wang. (2008). The Red Queen revisited: reevaluating the age selectivity of Phanerozoic marine genus extinctions. Paleobiology. 34(3). 318–341. 63 indexed citations

15.

Wang, Steve C., et al.. (2007). Confidence intervals for pulsed mass extinction events. Paleobiology. 33(2). 324–336. 29 indexed citations

16.

Wang, Steve C. & Peter Dodson. (2006). Estimating the diversity of dinosaurs. Proceedings of the National Academy of Sciences. 103(37). 13601–13605. 104 indexed citations

17.

Wang, Steve C.. (2005). Accounting for unequal variances in evolutionary trend mechanisms. Paleobiology. 31(2). 191–198. 10 indexed citations

18.

Wang, Steve C. & Charles R. Marshall. (2004). Improved confidence intervals for estimating the position of a mass extinction boundary. Paleobiology. 30(1). 5–18. 37 indexed citations

19.

Wang, Steve C.. (2003). On the continuity of background and mass extinction. Paleobiology. 29(4). 455–467. 34 indexed citations

20.

Wang, Steve C.. (2001). QUANTIFYING PASSIVE AND DRIVEN LARGE-SCALE EVOLUTIONARY TRENDS. Evolution. 55(5). 849–849. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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