Sujong Kim

1.3k citations
44 papers · 1.1k · h-index 16

Impact in

Papers in

    • Gene expression and cancer classification 8
    • Retinoids in leukemia and cellular processes 6
    • Machine Learning in Bioinformatics 4
    • Diabetes and associated disorders 2

Sujong Kim

39 papers receiving 1.0k citations

Peers

Sujong Kim
Comparison fields: 5 of 121
  • Dermatology 106
  • Biochemistry 58
  • Pathology and Forensic Medicine 138
  • Molecular Biology 474
  • Endocrinology, Diabetes and Metabolism 105
Replace Seong Min Kim with:
Seong Min Kim South Korea
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Sujong Kim relative to Seong Min Kim South Korea Seong Min Kim's profile →
Citations per field
00.5×1.5×
Seong Min Kim · 1×
Citations per year

Countries citing papers authored by Sujong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sujong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004225
2 2004139
3 200499
4
Phytosphingosine induces apoptotic cell death via caspase 8 activation and Bax translocation in human cancer cells.
200392
5 200588
6 200483
7 200653
8 200433
9 200824
10 201420
11 200718
12 200517
13 201217
14 200817
15 201316
16 202115
17 200915
18 200815
19 201513
20 201512

About Sujong Kim

Sujong Kim is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Epidemiology and Hematology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Retinoids in leukemia and cellular processes (6 papers), Machine Learning in Bioinformatics (4 papers), Acute Myeloid Leukemia Research (4 papers), Phytoestrogen effects and research (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes and associated disorders (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Dermatology (106 citations), Biochemistry (58 citations), Pathology and Forensic Medicine (138 citations), Molecular Biology (474 citations) and Endocrinology, Diabetes and Metabolism (105 citations). Sujong Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Insuk Sohn, Yong Sung Lee, Ki-Hwan Lee, Yeon Sook Lee, Joon‐Ik Ahn, Mi‐Ock Lee, Hye‐Jin Shin, Sun Young Kim, Duck‐Hee Kim and Ji Hyun Kim. Their work appears in journals such as Computational Statistics & Data Analysis, BMC Bioinformatics, International Journal of Oncology, The Prostate and The FASEB Journal.

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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