Jae-Hee Ahn

515 citations
26 papers · 401 · h-index 13

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • interferon and immune responses
    • Immune Response and Inflammation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • interferon and immune responses 3
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3
    • Immune cells in cancer 2
    • Inflammasome and immune disorders 3

Jae-Hee Ahn

23 papers receiving 396 citations

Peers

Jae-Hee Ahn
Comparison fields: 5 of 79
  • Immunology 114
  • Cancer Research 51
  • Biotechnology 25
  • Infectious Diseases 39
  • Oncology 53
Replace Michał Kiełbik with:
Michał Kiełbik Poland
Izabela Szulc-Kiełbik Poland
Mohd M. Khan United States
Tsung‐Teng Huang Taiwan
Jae Hwan Kim South Korea
Hongbo Xu China
Long-Tao Yue China
Xiaojin Liu China
Wenliang Qiao China
Sujit Suklabaidya India
Jae-Hee Ahn relative to Michał Kiełbik Poland Michał Kiełbik's profile →
Citations per field
00.5×2×3×
Michał Kiełbik · 1×
Citations per year

Countries citing papers authored by Jae-Hee Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Hee Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Hee Ahn. 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 Jae-Hee Ahn. The network helps show where Jae-Hee Ahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 202349
3 201832
4 202325
5 201824
6 201923
7 202320
8 202019
9 201516
10 202015
11 202014
12 202013
13 202012
14 201810
15 20249
16 20229
17 20237
18 20246
19 20226
20 20196

About Jae-Hee Ahn

Jae-Hee Ahn is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 26 papers that have together received 401 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), Inflammasome and immune disorders (3 papers), Immune Response and Inflammation (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (114 citations), Cancer Research (51 citations), Biotechnology (25 citations), Infectious Diseases (39 citations) and Oncology (53 citations). Jae-Hee Ahn has collaborated with scholars based in South Korea, Canada and Japan. Frequent co-authors include Hyun‐Jeong Ko, Ye Gu, Sun‐Young Chang, Jae‐Hoon Chang, Mahesh Pandit, Ben Kang, Bo-Eun Kwon, Jae-Hyoung Song, Yun‐Yong Park and Jong‐Oh Kim. Their work appears in journals such as Biomolecules & Therapeutics, Immune Network, Scientific Reports, Journal of Controlled Release and Molecular Cancer.

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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