John S. Yi

3.8k citations
54 papers · 2.6k indexed · 1 hit paper · h-index 22
Topics
Immune Cell Function and Interaction (13 papers)Myasthenia Gravis and Thymoma (10 papers)T-cell and B-cell Immunology (10 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

John S. Yi

51 papers receiving 2.6k citations

Hit Papers

Interleukin 17–producing T helper cells and interleukin 1...20072026201320192007100200300400500

Peers

John S. Yi
Comparison fields: 5 of 127
  • Immunology 1.5k
  • Oncology 539
  • Epidemiology 354
  • Neurology 345
  • Molecular Biology 324
Replace Frances T. Hakim with:
Frances T. Hakim United States
M. Louise Markert United States
Christophe Parizot France
Karen M. Haas United States
Manel Juan Spain
Wolfgang Holter Austria
Nicolas Fazilleau France
Despina Moshous France
Brahma V. Kumar United States
Malek Kamoun United States
John S. Yi relative to Frances T. Hakim United States Frances T. Hakim's profile →
Citations per field
00.5×1.5×2.3×
Frances T. Hakim · 1×
Citations per year

Countries citing papers authored by John S. Yi

Since Specialization
Citations

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

Fields of papers citing papers by John S. Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John S. Yi

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Yi. A scholar is included among the top collaborators of John S. Yi 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 John S. Yi. John S. Yi 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
#WorkIndexed citations
1 0
2 4
3 11
4 38
5 8
6 21
7 4
8 20
9 52
10 22
11 13
12 27
13 8
14 62
15 79
16 68
17 43
18 406
19 1
20
Interleukin 17–producing T helper cells and interleukin 17 orchestrate autoreactive germinal center development in autoimmune BXD2 micebreakdown →
581

About John S. Yi

John S. Yi is a scholar working on Transplantation, Immunology and Neurology, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Myasthenia Gravis and Thymoma (10 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Immunology (1.5k citations), Transplantation (123 citations) and Virology (111 citations). John S. Yi has collaborated with scholars based in United States, China and France. Frequent co-authors include Allan Zajac, Maureen A. Cox, Ming Du, Jeffrey T. Guptill, Jennifer T Ingram, Robert W. Williams, Riley Myers, Albert Tousson, Qi Wu and John Wang. Their work appears in journals such as Science, Advanced Materials and Nature Communications.

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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