Won Sam Kim

474 citations
13 papers · 360 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • Macrophage Migration Inhibitory Factor
    • Immune Response and Inflammation
    • Immune cells in cancer

Papers in

    • Retinoids in leukemia and cellular processes 2
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 2

Won Sam Kim

13 papers receiving 358 citations

Peers

Won Sam Kim
Comparison fields: 5 of 77
  • Aging 13
  • Immunology 132
  • Hematology 57
  • Cancer Research 48
  • Molecular Biology 175
Replace Yaping Sun with:
Yaping Sun United States
Jayna J. Mistry United Kingdom
Satyananda Patel India
Joana R. Costa United Kingdom
Mu‐Jie Lu United States
Elisa Ferrari Italy
Pierre‐Luc Mouchel France
Patrick Beaudette Germany
Anna Priebe United States
Anderson R. Frank United States
Won Sam Kim relative to Yaping Sun United States Yaping Sun's profile →
Citations per field
00.5×1.5×2.5×
Yaping Sun · 1×
Citations per year

Countries citing papers authored by Won Sam Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won Sam Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201397
2 201765
3 201659
4 201742
5 201839
6 201818
7 202014
8 201911
9 20066
10 20124
11 20113
12 20051
13 20051

About Won Sam Kim

Won Sam Kim is a scholar working on Molecular Biology, Immunology, Oncology, Electrical and Electronic Engineering and Hematology, having authored 13 papers that have together received 360 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Organic Electronics and Photovoltaics (3 papers), Organic Light-Emitting Diodes Research (3 papers), Luminescence and Fluorescent Materials (2 papers), Immune Response and Inflammation (2 papers), NF-κB Signaling Pathways (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Aging (13 citations), Immunology (132 citations), Hematology (57 citations), Cancer Research (48 citations) and Molecular Biology (175 citations). Won Sam Kim has collaborated with scholars based in South Korea. Frequent co-authors include Suk Ran Yoon, Haiyoung Jung, Inpyo Choi, Dong Oh Kim, Tae‐Don Kim, Young‐Jun Park, Jae‐Eun Byun, Hae Young Song, Mi Jeong Kim and Eun‐Ji Choi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Metabolism, Scientific Reports, Current Applied Physics and Journal of Clinical Medicine.

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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