Michael W. Lee

4.2k citations
41 papers · 830 · h-index 15

Impact in

Papers in

Michael W. Lee

41 papers receiving 806 citations

Peers

Michael W. Lee
Comparison fields: 5 of 111
  • Urology 113
  • Endocrinology, Diabetes and Metabolism 83
  • Pulmonary and Respiratory Medicine 137
  • Cancer Research 63
  • Molecular Biology 267
Replace Soum D. Lokeshwar with:
Soum D. Lokeshwar United States
HU Wei-lie China
Gaku Arai Japan
Rodolfo Borges dos Reis Brazil
Kiminobu Arima Japan
Akira Oshima Japan
Alaina Garbens United States
Xiaoqing Xu China
Vincenzo Pagliarulo Italy
Hartwig Büttner Germany
Michael W. Lee relative to Soum D. Lokeshwar United States Soum D. Lokeshwar's profile →
Citations per field
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Soum D. Lokeshwar · 1×
Citations per year

Countries citing papers authored by Michael W. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael W. 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 Michael W. Lee Line = papers co-authored together Michael W. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004116
2 200595
3
Epothilone B analogue (BMS-247550)-mediated cytotoxicity through induction of Bax conformational change in human breast cancer cells.
200286
4 201872
5 200555
6 201638
7 201234
8 199431
9 200730
10 200330
11 200728
12 202120
13 202020
14 200518
15 201317
16 200513
17 202012
18 199411
19 202410
20 20199

About Michael W. Lee

Michael W. Lee is a scholar working on Public Health, Environmental and Occupational Health, Education, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 41 papers that have together received 830 indexed citations. Recurring topics across this work include Innovations in Medical Education (11 papers), Innovative Teaching Methods (7 papers), Urinary Bladder and Prostate Research (3 papers), Medical Education and Admissions (3 papers), RNA Interference and Gene Delivery (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Problem and Project Based Learning (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Urology (113 citations), Endocrinology, Diabetes and Metabolism (83 citations), Pulmonary and Respiratory Medicine (137 citations), Cancer Research (63 citations) and Molecular Biology (267 citations). Michael W. Lee has collaborated with scholars based in United States, Italy and Czechia. Frequent co-authors include John Harrelson, Hong‐Gang Wang, Mantu Gupta, Hirohito Yamaguchi, Claus G. Roehrborn, Steven A. Kaplan, Leroy M. Nyberg, Kapil N. Bhalla, John W. Kusek and Ziwei Huang. Their work appears in journals such as The Journal of Urology, Journal of Endourology, Pharmacology Research & Perspectives, Oncogene and The FASEB Journal.

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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