Stephen Lee

70 papers receiving 2.3k citations

Peers

Stephen Lee
Comparison fields: 5 of 140
  • Cancer Research 398
  • Critical Care and Intensive Care Medicine 82
  • Molecular Biology 1.0k
  • Neurology 210
  • Obstetrics and Gynecology 104
Replace John A. Kirby with:
John A. Kirby United Kingdom
Fangfang Zhu China
George R. Simon United States
Bridget A. Robinson New Zealand
Yu Jung Kim South Korea
Markus Selzner Canada
Catherine Chen United States
Shailendra Verma Canada
Tangfeng Lv China
Masahiko Hirota Japan
Stephen Lee relative to John A. Kirby United Kingdom John A. Kirby's profile →
Citations per field
00.5×3.0×
John A. Kirby · 1×
Citations per year

Countries citing papers authored by Stephen Lee

Since Specialization
Citations

This map shows the geographic impact of Stephen Lee'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 Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Lee more than expected).

Fields of papers citing papers by Stephen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Lee. 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 Lee. The network helps show where Stephen Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Lee Line = papers co-authored together Stephen Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2001156
3 2016133
4 2006133
5 1996107
6 199287
7 201876
8 200274
9 201667
10 201264
11 198964
12 200556
13 199455
14 201053
15 200550
16 200849
17 201447
18 199946
19 199745
20 201244

About Stephen Lee

Stephen Lee is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (7 papers), COVID-19 Clinical Research Studies (7 papers), COVID-19 Impact on Reproduction (4 papers), Long-Term Effects of COVID-19 (3 papers), HIV/AIDS Research and Interventions (3 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Cancer Research (398 citations), Critical Care and Intensive Care Medicine (82 citations), Molecular Biology (1.0k citations), Neurology (210 citations) and Obstetrics and Gynecology (104 citations). Stephen Lee has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Timothy E. Audas, Mathieu D. Jacob, Miling Wang, Seung‐Jae Lee, James R. Gnarra, Arnim Pause, Richard D. Klausner, J.J.David Ho, Marie-Christine Fournier and Mark L. Gonzalgo. Their work appears in journals such as American Journal of Clinical Pathology, American Journal of Transplantation, Blood, Proceedings of the National Academy of Sciences and Australasian Journal of Dermatology.

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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