Ji Won Um

4.4k citations
65 papers · 3.2k indexed · 2 hit papers · h-index 29
Topics
Neuroscience and Neuropharmacology Research (34 papers)Cellular transport and secretion (19 papers)Neuroinflammation and Neurodegeneration Mechanisms (13 papers)

In The Last Decade

Ji Won Um

63 papers receiving 3.2k citations

Hit Papers

Alzheimer amyloid-β oligomer bound to postsynaptic prion ...201220262016202120122013100200300400500

Peers

Ji Won Um
Comparison fields: 5 of 112
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 1.4k
  • Physiology 1.1k
  • Neurology 615
  • Cell Biology 569
Replace Juha Laurén with:
Juha Laurén Finland
Kumlesh K. Dev Ireland
Tamara Ratovitski United States
Jiro Takano Japan
Diederik Moechars Belgium
Massimiliano Stagi United States
Derya R. Shimshek Switzerland
Edda Thies Germany
Lit-Fui Lau United States
Herman Moreno United States
Ji Won Um relative to Juha Laurén Finland Juha Laurén's profile →
Citations per field
00.5×4.3×
Juha Laurén · 1×
Citations per year

Countries citing papers authored by Ji Won Um

Since Specialization
Citations

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

Fields of papers citing papers by Ji Won Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Won Um. 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 Ji Won Um. The network helps show where Ji Won Um may publish in the future.

Co-authorship network of co-authors of Ji Won Um

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Won Um. A scholar is included among the top collaborators of Ji Won Um 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 Ji Won Um. Ji Won Um 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 1
3 8
4 8
5 9
6 19
7 14
8 10
9 27
10 26
11 41
12 50
13 34
14 18
15 51
16 2
17 40
18 17
19 52
20 5

About Ji Won Um

Ji Won Um is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 65 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (34 papers), Cellular transport and secretion (19 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Neurology (615 citations) and Physiology (1.1k citations). Ji Won Um has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jaewon Ko, Stephen M. Strittmatter, Kwang Chul Chung, Mikhail A. Kostylev, Erik C. Gunther, Alexander O. Vortmeyer, Massimiliano Stagi, Haakon B. Nygaard, Thomas Wısnıewskı and A Kaufman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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