Jaeyeon Kim

3.0k total citations
54 papers, 2.0k citations indexed

About

Jaeyeon Kim is a scholar working on Molecular Biology, Cancer Research and Reproductive Medicine. According to data from OpenAlex, Jaeyeon Kim has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Reproductive Medicine. Recurrent topics in Jaeyeon Kim's work include Metabolomics and Mass Spectrometry Studies (8 papers), Ovarian cancer diagnosis and treatment (8 papers) and Cancer therapeutics and mechanisms (7 papers). Jaeyeon Kim is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Ovarian cancer diagnosis and treatment (8 papers) and Cancer therapeutics and mechanisms (7 papers). Jaeyeon Kim collaborates with scholars based in United States, South Korea and United Kingdom. Jaeyeon Kim's co-authors include Martin M. Matzuk, Donna Coffey, Indrani C. Bagchi, Milan K. Bagchi, Chad J. Creighton, Shannon M. Hawkins, Zhifeng Yu, Gerald M. Saidel, Marco E. Cabrera and Satish C. Kalhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jaeyeon Kim

51 papers receiving 2.0k citations

Peers

Jaeyeon Kim
Comparison fields: 5 of 115
  • Molecular Biology 811
  • Reproductive Medicine 555
  • Oncology 326
  • Cancer Research 323
  • Public Health, Environmental and Occupational Health 322
Replace Hsin‐Shih Wang with:
Hsin‐Shih Wang Taiwan
Elisa Giacomini Italy
Krishna Menon United States
Ting Gui China
Nassim Ghaffari‐Tabrizi‐Wizsy Austria
Rocio Garcı́a-Becerra Mexico
Tao Huang China
Chun Zhao China
Jian-Guo Geng United States
Hsin‐Shih Wang Taiwan View profile →
Citations per field, relative to Jaeyeon Kim
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Citations per year, relative to Jaeyeon Kim
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Countries citing papers authored by Jaeyeon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jaeyeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeyeon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jaeyeon Kim. A scholar is included among the top collaborators of Jaeyeon Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaeyeon Kim. Jaeyeon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 24
3 3
4 28
5 0
6 6
7 19
8 8
9 3
10 134
11
CRISPR/Cas9-derived models of ovarian high grade serous carcinoma targeting Brca1, Pten and Nf1, and correlation with platinum sensitivity
2
12 23
13 151
14 33
15 95
16 25
17 29
18 20
19 56
20 2

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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