Minji Jeon

5.8k citations
26 papers · 2.5k indexed · 2 hit papers · h-index 12
Topics
Bioinformatics and Genomic Networks (12 papers)Computational Drug Discovery Methods (9 papers)Gene expression and cancer classification (6 papers)

In The Last Decade

Minji Jeon

24 papers receiving 2.5k citations

Hit Papers

Gene Set Knowledge Discovery with Enrichr20152026201820222021201550010001.5k

Peers

Minji Jeon
Comparison fields: 5 of 137
  • Molecular Biology 1.4k
  • Cancer Research 382
  • Immunology 343
  • Oncology 265
  • Pulmonary and Respiratory Medicine 237
Replace John Erol Evangelista with:
John Erol Evangelista United States
Eryk Kropiwnicki United States
Megan L. Wojciechowicz United States
Zhuorui Xie United States
Kristina Hanspers United States
Dénes Türei Germany
Kasper Lage United States
Martina Kutmon Netherlands
Noam Nativ Israel
Quentin Shao Canada
Minji Jeon relative to John Erol Evangelista United States John Erol Evangelista's profile →
Citations per field
00.5×3.3×
John Erol Evangelista · 1×
Citations per year

Countries citing papers authored by Minji Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Minji Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minji Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Minji Jeon. A scholar is included among the top collaborators of Minji Jeon 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 Minji Jeon. Minji Jeon 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
#WorkIndexed citations
1 0
2 0
3 7
4 1
5 10
6 4
7 9
8 11
9 17
10 7
11 36
12 25
13 32
14 54
15 17
16 62
17 2
18 30
19
DSigDB: drug signatures database for gene set analysisbreakdown →
389
20 5

About Minji Jeon

Minji Jeon is a scholar working on Health Informatics, Computational Theory and Mathematics and Molecular Biology, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Cancer Research (382 citations), Molecular Biology (1.4k citations) and Immunology (343 citations). Minji Jeon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Avi Ma’ayan, Daniel Clarke, Kathleen M. Jagodnik, Alexander Lachmann, Maxim V. Kuleshov, John Erol Evangelista, Zhuorui Xie, Megan L. Wojciechowicz, Sherry L. Jenkins and Eryk Kropiwnicki. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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