Seok‐Jun Kim

1.4k citations
55 papers · 1.2k · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Galectins and Cancer Biology

Papers in

    • Signaling Pathways in Disease 5
    • Wnt/β-catenin signaling in development and cancer 4
    • Galectins and Cancer Biology 10
    • Immune cells in cancer 3

Seok‐Jun Kim

53 papers receiving 1.1k citations

Peers

Seok‐Jun Kim
Comparison fields: 5 of 116
  • Cancer Research 310
  • Immunology 325
  • Molecular Biology 706
  • Oncology 208
  • Cell Biology 85
Replace María C. de Andrés with:
María C. de Andrés United Kingdom
Ke Jin China
Guanghui Li China
Zhihang Zhou China
Zhe Shao China
Hitoshi Miyashita Japan
Prerna Suri India
Hua Zhao China
Qi Cai United States
Hassan El Btaouri France
Seok‐Jun Kim relative to María C. de Andrés United Kingdom María C. de Andrés's profile →
Citations per field
00.5×2.5×
María C. de Andrés · 1×
Citations per year

Countries citing papers authored by Seok‐Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seok‐Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012131
2 2009112
3 2011104
4 201870
5 201265
6 201164
7 201659
8 200851
9 201244
10 202138
11 201134
12 202130
13 202027
14 201926
15 202125
16 202125
17 202023
18 202115
19 201915
20 202114

About Seok‐Jun Kim

Seok‐Jun Kim is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Biomedical Engineering, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (10 papers), Signaling Pathways in Disease (5 papers), Peptidase Inhibition and Analysis (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (310 citations), Immunology (325 citations), Molecular Biology (706 citations), Oncology (208 citations) and Cell Biology (85 citations). Seok‐Jun Kim has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Kyung‐Hee Chun, Jiyoung Shin, Ki Woong Sung, Seok Jin Nam, Seok Hee Park, Young‐Ki Bae, Hyeok-Gu Kang, Won-Jin Kim, Il Ju Choi and Taek-Chin Cheong. Their work appears in journals such as Energies, Stem Cell Research, Scientific Reports, BMB Reports and Cancers.

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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