Stephen Lee

5.5k citations
80 papers · 2.8k · h-index 26

Impact in

Papers in

Stephen Lee

75 papers receiving 2.8k citations

Peers

Stephen Lee
Comparison fields: 5 of 130
  • Cellular and Molecular Neuroscience 466
  • Internal Medicine 95
  • Immunology 414
  • Hematology 184
  • Neurology 129
Replace Ronald L. Heimark with:
Ronald L. Heimark United States
Jun‐ichi Kuratsu Japan
Sándor Paku Hungary
Thierry Couffinhal France
Yvonne Reiss Germany
Piotr Religa Sweden
Grażyna Kwapiszewska Austria
Elena Burova Russia
Takao Setoguchi Japan
Tara L. Haas Canada
Stephen Lee relative to Ronald L. Heimark United States Ronald L. Heimark's profile →
Citations per field
00.5×2.6×
Ronald L. Heimark · 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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996428
2 1995234
3 2015172
4 1998159
5 1995151
6 2018144
7 1995125
8 1987115
9 199687
10 201482
11 200176
12 199069
13 199865
14 202156
15 199943
16 201440
17 200640
18 196738
19 199736
20 201335

About Stephen Lee

Stephen Lee is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Rheumatology and Pathology and Forensic Medicine, having authored 80 papers that have together received 2.8k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (10 papers), Nuclear Receptors and Signaling (5 papers), Urologic and reproductive health conditions (5 papers), Acute Myeloid Leukemia Research (4 papers), Aortic aneurysm repair treatments (4 papers), Peripheral Artery Disease Management (4 papers), Genetic factors in colorectal cancer (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (466 citations), Internal Medicine (95 citations), Immunology (414 citations), Hematology (184 citations) and Neurology (129 citations). Stephen Lee has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Jeffrey Milbrandt, Yoel Sadovsky, Robin L. Wesselschmidt, John H. Russell, Osami Kanagawa, Gerald P. Linette, Yang Wang, Karen Woodson, Peter A. Crawford and Richard Apps. Their work appears in journals such as Australasian Journal of Dermatology, American Heart Journal, The American Journal of Cardiology, Archives of Pathology & Laboratory Medicine and Science.

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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