Minji Kim

866 citations
35 papers · 417 · h-index 11

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • Genomics and Phylogenetic Studies
    • DNA Repair Mechanisms

Papers in

Minji Kim

28 papers receiving 415 citations

Peers

Minji Kim
Comparison fields: 5 of 85
  • Molecular Biology 286
  • Parasitology 16
  • Cancer Research 32
  • Computer Networks and Communications 41
  • Plant Science 59
Replace Tengfei Lian with:
Tengfei Lian United States
Tara M. Rock United States
Markus Hsi-Yang Fritz Germany
Sergey Nemzer Israel
Damien Nicolas Luxembourg
Kang Yang China
Ankita Singh India
Tim Smith United States
Thurston H. Y. Dang United States
Vincent Piras Japan
Minji Kim relative to Tengfei Lian United States Tengfei Lian's profile →
Citations per field
00.5×4.6×
Tengfei Lian · 1×
Citations per year

Countries citing papers authored by Minji Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minji Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 202027
3 202225
4 201120
5 202520
6 202020
7 201720
8 201620
9 202115
10 201114
11 201910
12 201410
13 201610
14 20248
15 20198
16 20106
17 20165
18 20174
19 20253
20 20183

About Minji Kim

Minji Kim is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Plant Science, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 417 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Cooperative Communication and Network Coding (3 papers), Chromosomal and Genetic Variations (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Neuroscience and Neural Engineering (2 papers), Epigenetics and DNA Methylation (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Molecular Biology (286 citations), Parasitology (16 citations), Cancer Research (32 citations), Computer Networks and Communications (41 citations) and Plant Science (59 citations). Minji Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yijun Ruan, Byoungkoo Lee, Muriel Médard, Chia‐Lin Wei, Simon Zhongyuan Tian, Xiaoan Ruan, João Barros, Meizhen Zheng, Daniel Capurso and Liang Gong. Their work appears in journals such as Bioinformatics, Advanced Healthcare Materials, Nature Communications, Nucleic Acids Research and Genome 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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