Samuel J. Lee

46 papers receiving 1.8k citations

Samuel J. Lee's Hit Papers

Randomized Trial of Metformin, Ivermectin, and Fluvoxamine for Covid-19 2022 · 181 citations
1810+1+2Years since publication50100150

Peers

Samuel J. Lee
Comparison fields: 5 of 152
  • Health Informatics 55
  • Infectious Diseases 294
  • Emergency Medical Services 86
  • Hepatology 98
  • Immunology 220
Replace Alireza Tahamtan with:
Alireza Tahamtan Iran
Fredrik Andreas Dahl Norway
Sui Peng China
Petros Karakitsos Greece
Chuan Hong United States
Vinod E. Nambudiri United States
Ramy Arnaout United States
Shanping Jiang China
Qi Jin China
Jennifer Beane-Ebel United States
Samuel J. Lee relative to Alireza Tahamtan Iran Alireza Tahamtan's profile →
Citations per field
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Alireza Tahamtan · 1×
Citations per year

Countries citing papers authored by Samuel J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Samuel J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018236
2
Randomized Trial of Metformin, Ivermectin, and Fluvoxamine for Covid-19
Hit paper breakdown →
2022181
3 2020168
4 2020155
5 2021155
6 2013143
7 1999141
8 2020100
9 200887
10 201272
11 201955
12
Bronchial artery embolisation can be equally safe and effective in the management of chronic recurrent haemoptysis.
200845
13 201639
14
The Relationship Between Regional Anesthesia and Cancer: A Metaanalysis.
201736
15 202431
16 201426
17 199525
18 200622
19 202119
20 201818

About Samuel J. Lee

Samuel J. Lee is a scholar working on Accounting, Oncology, Signal Processing, Immunology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Corporate Finance and Governance (6 papers), Private Equity and Venture Capital (3 papers), Immunotherapy and Immune Responses (3 papers), Interconnection Networks and Systems (3 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Music Technology and Sound Studies (2 papers), Banking stability, regulation, efficiency (2 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Health Informatics (55 citations), Infectious Diseases (294 citations), Emergency Medical Services (86 citations), Hepatology (98 citations) and Immunology (220 citations). Samuel J. Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Mike C. Burkart, Alaa A Abd-Elsayed, Ravi K. Grandhi, Benjamin Garrett Vincent, Benito Almirante, Ashwini Chauhan, Christophe Beloin, David Lebeaux, Ghigo Jean-Marc and Nuria Fernández‐Hidalgo. Their work appears in journals such as Review of Financial Studies, Journal of the American College of Cardiology, Clinical Infectious Diseases, Cancer Immunology Research and Patient Preference and Adherence.

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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