Stephen D. Hursting
- Molecular Biology top 1%
- Oncology top 0.5%
- Physiology top 0.5%
- Cancer Research top 0.5%
- Epidemiology top 2%
- Co-authors
- Susan N. PerkinsLaura M. LashingerSteven K. ClintonEdward L. GiovannucciJackie A. LavigneJ. Carl BarrettDavid BerriganShine Chang
- Topics
- Cancer Risks and Factors (64 papers)Metabolism, Diabetes, and Cancer (51 papers)Cancer, Lipids, and Metabolism (47 papers)
- Cited by
- AgingCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Stephen D. Hursting
240 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 4.2k
- Oncology 3.6k
- Physiology 3.0k
- Cancer Research 2.7k
- Epidemiology 1.5k
Countries citing papers authored by Stephen D. Hursting
This map shows the geographic impact of Stephen D. Hursting'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 Stephen D. Hursting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Hursting more than expected).
Fields of papers citing papers by Stephen D. Hursting
This network shows the impact of papers produced by Stephen D. Hursting. 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 Stephen D. Hursting. The network helps show where Stephen D. Hursting may publish in the future.
Co-authorship network of co-authors of Stephen D. Hursting
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen D. Hursting. A scholar is included among the top collaborators of Stephen D. Hursting 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 Stephen D. Hursting. Stephen D. Hursting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 62 | |
| 9 | 11 | |
| 10 | 22 | |
| 11 | 41 | |
| 12 | 33 | |
| 13 | 18 | |
| 14 | 24 | |
| 15 | 44 | |
| 16 | 5 | |
| 17 | 23 | |
| 18 | 52 | |
| 19 | 60 | |
| 20 | 116 |
About Stephen D. Hursting
Stephen D. Hursting is a scholar working on Cancer Research, Oncology and Physiology, having authored 247 papers that have together received 11.3k indexed citations. Recurring topics across this work include Cancer Risks and Factors (64 papers), Metabolism, Diabetes, and Cancer (51 papers) and Cancer, Lipids, and Metabolism (47 papers). The work is most often cited by research in Aging (346 citations), Cancer Research (2.7k citations) and Oncology (3.6k citations). Stephen D. Hursting has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Susan N. Perkins, Laura M. Lashinger, Steven K. Clinton, Edward L. Giovannucci, Jackie A. Lavigne, J. Carl Barrett, David Berrigan, Shine Chang, Sarah M. Dunlap and James M. Phang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.