Sun-Ja Kim

1.4k citations
37 papers · 1.1k · h-index 14

Impact in

Papers in

Sun-Ja Kim

32 papers receiving 1.1k citations

Peers

Sun-Ja Kim
Comparison fields: 5 of 122
  • Developmental Neuroscience 65
  • Neurology 130
  • Plant Science 410
  • Molecular Biology 559
  • Cellular and Molecular Neuroscience 121
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Maoying Zhang China
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Jiejie Li China
Lixia Qin China
Lingling Shi China
Mingyue Liu China
Won‐Seok Choi South Korea
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Sun-Ja Kim relative to Maoying Zhang China Maoying Zhang's profile →
Citations per field
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Maoying Zhang · 1×
Citations per year

Countries citing papers authored by Sun-Ja Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Ja Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003366
2 2017115
3 201498
4 200794
5 201172
6 201072
7 201354
8 202051
9 201742
10
RIP1 kinase mediates arachidonic acid-induced oxidative death of oligodendrocyte precursors.
201031
11 201428
12 202221
13 201418
14 201416
15 200110
16 20149
17 20236
18 20095
19 20085
20 20244

About Sun-Ja Kim

Sun-Ja Kim is a scholar working on Molecular Biology, Sociology and Political Science, Information Systems, Developmental Neuroscience and Computer Networks and Communications, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Multimedia Communication and Technology (5 papers), Plant tissue culture and regeneration (4 papers), Nerve injury and regeneration (3 papers), Multiple Sclerosis Research Studies (3 papers), Ginseng Biological Effects and Applications (3 papers), Advanced Software Engineering Methodologies (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Neurology (130 citations), Plant Science (410 citations), Molecular Biology (559 citations) and Cellular and Molecular Neuroscience (121 citations). Sun-Ja Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kee‐Yoeup Paek, Eun-Joo Hahn, Jeong-Wook Heo, Jianrong Li, Andrew J. Steelman, Hosakatte Niranjana Murthy, Arum Han, Jaewon Park, Hyung-Lae Lee and Hisami Koito. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Biomedical Engineering, Applied Physics Letters, Frontiers in Immunology and genesis.

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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