Seok Won Ham

1.0k citations
17 papers · 720 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • MicroRNA in disease regulation 4
    • Cancer, Hypoxia, and Metabolism 3
    • TGF-β signaling in diseases 3
    • Epigenetics and DNA Methylation 2

Seok Won Ham

16 papers receiving 715 citations

Peers

Seok Won Ham
Comparison fields: 5 of 71
  • Cancer Research 199
  • Genetics 139
  • Oncology 245
  • Immunology 137
  • Molecular Biology 348
Replace Jun-Kyum Kim with:
Jun-Kyum Kim South Korea
Julie Dwyer France
Georg Gdynia Germany
Robin Hallett Canada
Ningyi Tiao United States
Jin‐Kyoung Shim South Korea
Ravesanker Ezhilarasan United States
Khadijeh Bijangi‐Vishehsaraei United States
Niyati Jhaveri United States
Shengchao Xu China
Seok Won Ham relative to Jun-Kyum Kim South Korea Jun-Kyum Kim's profile →
Citations per field
00.5×1.5×
Jun-Kyum Kim · 1×
Citations per year

Countries citing papers authored by Seok Won Ham

Since Specialization
Citations

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

Fields of papers citing papers by Seok Won Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017272
2 2018154
3 201467
4 201553
5 201932
6 201729
7 201926
8 201419
9 201515
10 202212
11 201711
12 201710
13 20238
14 20176
15 20205
16 20231
17 20240

About Seok Won Ham

Seok Won Ham is a scholar working on Cancer Research, Molecular Biology, Genetics, Oncology and Immunology, having authored 17 papers that have together received 720 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (4 papers), Immune cells in cancer (4 papers), TGF-β signaling in diseases (3 papers), Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (199 citations), Genetics (139 citations), Oncology (245 citations), Immunology (137 citations) and Molecular Biology (348 citations). Seok Won Ham has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Hyunggee Kim, Kiyoung Eun, Jun-Kyum Kim, Hee-Young Jeon, Xiong Jin, Seon Yong Lee, Se Hoon Kim, Do‐Hyun Nam, Eun‐Jung Kim and Yong Jae Shin. Their work appears in journals such as Tumor Biology, Cell Death and Differentiation, Molecules and Cells, BMB Reports and Cell Reports.

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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