Sum P. Lee

90 papers receiving 4.2k citations

Peers

Sum P. Lee
Comparison fields: 5 of 132
  • Hepatology 534
  • Epidemiology 1.2k
  • Surgery 1.5k
  • Pulmonary and Respiratory Medicine 1.0k
  • Oncology 791
Replace Junichi Shoda with:
Junichi Shoda Japan
Flavio Nervi Chile
Naomi Tanaka Japan
Yasushi Matsuzaki Japan
Charles W. Putnam United States
Piter J. Bosma Netherlands
R. H. Dowling United Kingdom
Jayanta Roy Chowdhury United States
Stefano Ginanni Corradini Italy
Peter Olinga Netherlands
Sum P. Lee relative to Junichi Shoda Japan Junichi Shoda's profile →
Citations per field
00.5×1.5×
Junichi Shoda · 1×
Citations per year

Countries citing papers authored by Sum P. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sum P. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981334
2 2011286
3 2005261
4 2007249
5 1981204
6 2006183
7 1988183
8 2005167
9 2009142
10 2017133
11 2002115
12 1991114
13 2002101
14 200896
15 200387
16 200786
17 200281
18 200480
19 200966
20 200864

About Sum P. Lee

Sum P. Lee is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Epidemiology, having authored 92 papers that have together received 4.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Gallbladder and Bile Duct Disorders (16 papers), Liver Disease Diagnosis and Treatment (13 papers), Cholesterol and Lipid Metabolism (10 papers), Pediatric Hepatobiliary Diseases and Treatments (9 papers), Lipid Membrane Structure and Behavior (7 papers), Biliary and Gastrointestinal Fistulas (6 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Hepatology (534 citations), Epidemiology (1.2k citations), Surgery (1.5k citations), Pulmonary and Respiratory Medicine (1.0k citations) and Oncology (791 citations). Sum P. Lee has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include George N. Ioannou, Cynthia W. Ko, Martin C. Carey, Edward J. Boyko, Christopher Savard, J. Thomas LaMont, W. Geoffrey Haigh, Rahul Kuver, Noel S. Weiss and J. Thomas LaMont. Their work appears in journals such as Hepatology, Gastroenterology, Journal of Lipid Research, The American Journal of Gastroenterology and American Journal of Physiology-Gastrointestinal and Liver Physiology.

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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