Jeman Kim

965 citations
50 papers · 833 · h-index 17

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 12
    • Muscle Physiology and Disorders 9
    • RNA Research and Splicing 8
    • Virus-based gene therapy research 23

Jeman Kim

49 papers receiving 802 citations

Peers

Jeman Kim
Comparison fields: 5 of 74
  • Endocrinology 67
  • Immunology 196
  • Genetics 262
  • Animal Science and Zoology 77
  • Molecular Biology 477
Replace Ann Beaton with:
Ann Beaton United States
Ramón A. González Mexico
Dirk M. Reiter Germany
Martin Pelchat Canada
Alma Gedvilaitė Lithuania
Jeremy D. Brown United Kingdom
David Liebl Czechia
Mark D. Cochran United States
Takamasa Inoue United States
Anne Stern Germany
Jeman Kim relative to Ann Beaton United States Ann Beaton's profile →
Citations per field
00.5×4.2×
Ann Beaton · 1×
Citations per year

Countries citing papers authored by Jeman Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeman Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199279
2 198778
3 200468
4 197255
5 198244
6 197943
7 197432
8 200329
9 197829
10 199323
11 199222
12 198220
13 199220
14 200118
15 199418
16 198116
17 199716
18 197615
19 198014
20 200213

About Jeman Kim

Jeman Kim is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Immunology and Infectious Diseases, having authored 50 papers that have together received 833 indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Viral Infections and Immunology Research (11 papers), Muscle Physiology and Disorders (9 papers), RNA Research and Splicing (8 papers), Bacteriophages and microbial interactions (7 papers), Animal Virus Infections Studies (6 papers) and Silk-based biomaterials and applications (5 papers). The work is most often cited by research in Endocrinology (67 citations), Immunology (196 citations), Genetics (262 citations), Animal Science and Zoology (77 citations) and Molecular Biology (477 citations). Jeman Kim has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Yoshio Okada, Etsuko Hirayama, Toshiyuki Adachi, Yoshio Okada, Yasuko Miyake, Yasufumi Kaneda, Tsuyoshi Uchida, Masahiro Ishiura, Yuxin Ni and T Miwatani. Their work appears in journals such as Cell Structure and Function, Experimental Cell Research, Cell Biology International, Virology and European Journal of Cell Biology.

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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