Gap Ryol Lee

6.0k total citations · 3 hit papers
59 papers, 4.6k citations indexed

About

Gap Ryol Lee is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Gap Ryol Lee has authored 59 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 23 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Gap Ryol Lee's work include T-cell and B-cell Immunology (32 papers), Immune Cell Function and Interaction (28 papers) and Immunotherapy and Immune Responses (12 papers). Gap Ryol Lee is often cited by papers focused on T-cell and B-cell Immunology (32 papers), Immune Cell Function and Interaction (28 papers) and Immunotherapy and Immune Responses (12 papers). Gap Ryol Lee collaborates with scholars based in South Korea, United States and China. Gap Ryol Lee's co-authors include Richard A. Flavell, Charalampos G. Spilianakis, Patrick E. Fields, J. Magarian Blander, Derk Amsen, Tasuku Honjo, Kenji Tanigaki, Wonyong Lee, Terrence Town and Maria D. Lalioti and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gap Ryol Lee

58 papers receiving 4.6k citations

Hit Papers

Instruction of Distinct CD4 T Helper Cell Fates by Differ... 2004 2026 2011 2018 2004 2018 2005 200 400 600

Peers

Gap Ryol Lee
Comparison fields: 5 of 121
  • Immunology 2.4k
  • Molecular Biology 2.0k
  • Oncology 599
  • Physiology 553
  • Cancer Research 379
Replace Shoichiro Miyatake with:
Shoichiro Miyatake Japan
Stanford L. Peng United States
Thomas Krausgruber Austria
Yury P. Rubtsov Russia
Dagmar Scheel‐Toellner United Kingdom
Yuuki Obata Japan
Adam Williams United States
Eric M. Pietras United States
Motoko Y. Kimura Japan
James A. MacLean United States
Shoichiro Miyatake Japan View profile →
Citations per field, relative to Gap Ryol Lee
Gap Ryol Lee · 1×
Citations per year, relative to Gap Ryol Lee
Gap Ryol Lee · 1×

Countries citing papers authored by Gap Ryol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gap Ryol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gap Ryol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gap Ryol Lee. A scholar is included among the top collaborators of Gap Ryol Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gap Ryol Lee. Gap Ryol Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 7
4 28
5 121
6 45
7 40
8 41
9 15
10 10
11 8
12 85
13 14
14
Interchromosomal associations between alternatively expressed loci breakdown →
543
15 152
16 122
17
Instruction of Distinct CD4 T Helper Cell Fates by Different Notch Ligands on Antigen-Presenting Cells breakdown →
729
18 180
19 201
20 15

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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