Eun‐Kyeong Jo

26.1k citations
232 papers · 13.3k indexed · 5 hit papers · h-index 65

Impact in

  • Immunology top 0.5%
    • Immune Response and Inflammation
    • Immune cells in cancer
    • interferon and immune responses
    • Tuberculosis Research and Epidemiology

Papers in

    • Calcium signaling and nucleotide metabolism 18
    • Immune Response and Inflammation 43
    • Immune Cell Function and Interaction 18
    • Immune cells in cancer 18

Eun‐Kyeong Jo

224 papers receiving 13.2k citations

Hit Papers

Updated insights into the molecular networks for NLRP3 inflammasome activation 2025 · 32 citations
3220092026201420202505007501000

Peers

Eun‐Kyeong Jo
Comparison fields: 5 of 155
  • Immunology 4.1k
  • Infectious Diseases 3.0k
  • Physiology 658
  • Epidemiology 4.4k
  • Biological Psychiatry 305
Replace Fayyaz S. Sutterwala with:
Fayyaz S. Sutterwala United States
Jan Buer Germany
Paul L. Beck Canada
John D. MacMicking United States
Vijay Rathinam United States
Kate Schroder Australia
Tatsuya Saitoh Japan
Mohamed Lamkanfi Belgium
Luigi Franchi United States
Jonathan N. Glickman United States
Eun‐Kyeong Jo relative to Fayyaz S. Sutterwala United States Fayyaz S. Sutterwala's profile →
Citations per field
00.5×1.5×2.3×
Fayyaz S. Sutterwala · 1×
Citations per year

Countries citing papers authored by Eun‐Kyeong Jo

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Kyeong Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Kyeong Jo. 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 Eun‐Kyeong Jo. The network helps show where Eun‐Kyeong Jo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eun‐Kyeong Jo, 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 Eun‐Kyeong Jo Line = papers co-authored together Eun‐Kyeong Jo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202417
4 20242
5 202318
6 20238
7 20231
8 202317
9 20224
10 202123
11 20215
12 20216
13 20209
14 202022
15 202095
16 202048
17 201959
18 2018135
19 2015106
20 2010205

About Eun‐Kyeong Jo

Eun‐Kyeong Jo is a scholar working on Physiology, Immunology, Infectious Diseases, Epidemiology and Endocrinology, having authored 232 papers that have together received 13.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (63 papers), Mycobacterium research and diagnosis (55 papers), Autophagy in Disease and Therapy (48 papers), Immune Response and Inflammation (43 papers), Inflammasome and immune disorders (26 papers), Immune Cell Function and Interaction (18 papers), Calcium signaling and nucleotide metabolism (18 papers) and Immune cells in cancer (18 papers). The work is most often cited by research in Immunology (4.1k citations), Infectious Diseases (3.0k citations), Physiology (658 citations), Epidemiology (4.4k citations) and Biological Psychiatry (305 citations). Eun‐Kyeong Jo has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jin Kyung Kim, Dong–Min Shin, Jae–Min Yuk, Chul‐Su Yang, Chihiro Sasakawa, Prashanta Silwal, Jin‐Man Kim, Hyo Sun Jin, Seungwha Paik and Hye‐Mi Lee. Their work appears in journals such as Cellular Microbiology, Immune Network, The Journal of Immunology, Autophagy and Frontiers in Immunology.

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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