Soo-Mi Kim

745 citations
16 papers · 615 · h-index 10

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Fungal and yeast genetics research
    • Epigenetics and DNA Methylation

Papers in

    • DNA Repair Mechanisms 11
    • Fungal and yeast genetics research 6
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Mitochondrial Function and Pathology 2
    • Cancer-related Molecular Pathways 2

Soo-Mi Kim

15 papers receiving 605 citations

Peers

Soo-Mi Kim
Comparison fields: 5 of 37
  • Cell Biology 143
  • Molecular Biology 597
  • Aging 7
  • Oncology 100
  • Cancer Research 55
Replace Daochun Kong with:
Daochun Kong China
Sarah Farmer United Kingdom
Christopher J. Viggiani United States
Ilaria Guerini Italy
Karine Fréon France
Makiko Komata Japan
Claudette L. Doe United Kingdom
Roberto A. Donnianni United States
Olga V. Kochenova United States
Sonam Mehrotra United States
Soo-Mi Kim relative to Daochun Kong China Daochun Kong's profile →
Citations per field
00.5×1.7×
Daochun Kong · 1×
Citations per year

Countries citing papers authored by Soo-Mi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Soo-Mi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003122
2 2004113
3 199696
4 199870
5 199857
6 200545
7 200442
8 199926
9 200117
10 201712
11 20175
12 20244
13 20213
14 20232
15 20031
16 20250

About Soo-Mi Kim

Soo-Mi Kim is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 615 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Fungal and yeast genetics research (6 papers), Cancer-related Molecular Pathways (2 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Mitochondrial Function and Pathology (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Cell Biology (143 citations), Molecular Biology (597 citations), Aging (7 citations), Oncology (100 citations) and Cancer Research (55 citations). Soo-Mi Kim has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Joel A. Huberman, Dharani D. Dubey, William G. Dunphy, Akiko Kumagai, Иван Тодоров, J. Aquiles Sanchez, Joon Lee, Wenhui Li, Dongyi Zhang and Hongtae Kim. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, Journal of Translational Medicine, The Journal of Cell Biology and Current 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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