John R. Lee

2.8k citations
62 papers · 1.8k · h-index 22

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Clostridium difficile and Clostridium perfringens research
    • COVID-19 Clinical Research Studies

Papers in

John R. Lee

58 papers receiving 1.8k citations

Peers

John R. Lee
Comparison fields: 5 of 114
  • Transplantation 464
  • Infectious Diseases 412
  • Nephrology 143
  • Epidemiology 332
  • Molecular Biology 705
Replace Michelle Lubetzky with:
Michelle Lubetzky United States
Lynya Talley United States
Muhammed Mubarak Pakistan
Lluı́s Castells Spain
Elias David‐Neto Brazil
Gabriel Gondolesi Argentina
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Michael Dickenmann Switzerland
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Citations per field
00.5×2.7×
Michelle Lubetzky · 1×
Citations per year

Countries citing papers authored by John R. Lee

Since Specialization
Citations

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

Fields of papers citing papers by John R. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019155
2 2014153
3 2015151
4 2018124
5 2013115
6 201894
7 201882
8 202063
9 202061
10 202059
11 201955
12 201452
13 201942
14 201939
15 201438
16 201637
17 201436
18 202034
19 202028
20 202228

About John R. Lee

John R. Lee is a scholar working on Transplantation, Molecular Biology, Epidemiology, Infectious Diseases and Surgery, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (24 papers), Gut microbiota and health (12 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Cancer Genomics and Diagnostics (7 papers), Urinary Tract Infections Management (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Transplantation (464 citations), Infectious Diseases (412 citations), Nephrology (143 citations), Epidemiology (332 citations) and Molecular Biology (705 citations). John R. Lee has collaborated with scholars based in United States, Qatar and France. Frequent co-authors include Darshana M. Dadhania, Manikkam Suthanthiran, Thangamani Muthukumar, Eric G. Pamer, Lilan Ling, Michelle Lubetzky, Nora C. Toussaint, Lars F. Westblade, Iwijn De Vlaminck and Michael J. Satlin. Their work appears in journals such as Transplantation, Clinical Transplantation, Nature Communications, JCI Insight and American Journal of Transplantation.

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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