Jayon Kim

498 citations
9 papers · 369 · h-index 5

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Jayon Kim

9 papers receiving 365 citations

Peers

Jayon Kim
Comparison fields: 5 of 62
  • Immunology 281
  • Oncology 212
  • Health Informatics 6
  • Genetics 33
  • Radiology, Nuclear Medicine and Imaging 23
Replace Juhi R. Kuchroo with:
Juhi R. Kuchroo United States
Stefania Laurent Italy
Michael Korrer United States
Sheri McMahon United States
Vasileia Damaskou Greece
Mikiya Ishihara Japan
Michelle A. Mintz United States
Julia Thierauf Germany
Anna B. Morris United States
Donald Dewar United Kingdom
Jayon Kim relative to Juhi R. Kuchroo United States Juhi R. Kuchroo's profile →
Citations per field
00.5×1.5×2.5×
Juhi R. Kuchroo · 1×
Citations per year

Countries citing papers authored by Jayon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jayon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayon Kim. 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 Jayon Kim. The network helps show where Jayon Kim may publish in the future.

Co-authors

The 22 scholars most cited alongside Jayon Kim, 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 Jayon Kim Line = papers co-authored together Jayon Kim links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003330
2 202110
3 200610
4 20227
5 20226
6 20212
7 20222
8 20221
9 20231

About Jayon Kim

Jayon Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Small Animals, Otorhinolaryngology and Oncology, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (2 papers), CAR-T cell therapy research (2 papers), Veterinary Orthopedics and Neurology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Head and Neck Cancer Studies (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Orthopedic Surgery and Rehabilitation (1 paper) and Oral health in cancer treatment (1 paper). The work is most often cited by research in Immunology (281 citations), Oncology (212 citations), Health Informatics (6 citations), Genetics (33 citations) and Radiology, Nuclear Medicine and Imaging (23 citations). Jayon Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Xingxing Zang, James P. Allison, P’ng Loke, Rebecca Waitz, Kenneth M. Murphy, Jae-Hwan Kim, Kidong Eom, Leonard Kusdra, Kathleen Wojnoonski and In‐Kyung Park. Their work appears in journals such as Frontiers in Veterinary Science, American Journal of Veterinary Research, Proceedings of the National Academy of Sciences, Genomics and Veterinary Radiology & Ultrasound.

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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