Sijung Yun

1.2k total citations
38 papers, 883 citations indexed

About

Sijung Yun is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Sijung Yun has authored 38 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Sijung Yun's work include Traumatic Brain Injury Research (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Protein Structure and Dynamics (4 papers). Sijung Yun is often cited by papers focused on Traumatic Brain Injury Research (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Protein Structure and Dynamics (4 papers). Sijung Yun collaborates with scholars based in United States, South Korea and United Kingdom. Sijung Yun's co-authors include H. Eugene Stanley, Luis Cruz, Gal Bitan, Brigita Urbanc, David B. Teplow, Sergey V. Buldyrev, H. Robert Guy, Jessica Gill, Hyungsuk Kim and Michael Krause and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Sijung Yun

37 papers receiving 875 citations

Peers

Sijung Yun
Comparison fields: 5 of 108
  • Molecular Biology 524
  • Physiology 401
  • Computational Theory and Mathematics 101
  • Epidemiology 86
  • Biomaterials 86
Replace Chuchu Wang with:
Chuchu Wang United States
Zsolt Bozsó Hungary
Shinji Tagami Japan
Bryce A. Nordhues United States
Faith M. Harris United States
Giulia Vecchi United Kingdom
Jeremy D. Baker United States
April L. Darling United States
Anna L. Gharibyan Sweden
Meng‐Chin Lin United States
Chuchu Wang United States View profile →
Citations per field, relative to Sijung Yun
Sijung Yun · 1×
Citations per year, relative to Sijung Yun
Sijung Yun · 1×

Countries citing papers authored by Sijung Yun

Since Specialization
Citations

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

Fields of papers citing papers by Sijung Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijung Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Sijung Yun. A scholar is included among the top collaborators of Sijung Yun 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 Sijung Yun. Sijung Yun 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 3
3 1
4 1
5 15
6 6
7 9
8 52
9 6
10 9
11 11
12 12
13 25
14 22
15 34
16 17
17 14
18 23
19 42
20 101

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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