Sang Won Park

4.3k total citations
129 papers, 3.5k citations indexed

About

Sang Won Park is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Sang Won Park has authored 129 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 21 papers in Epidemiology and 20 papers in Surgery. Recurrent topics in Sang Won Park's work include Adenosine and Purinergic Signaling (15 papers), Acute Kidney Injury Research (11 papers) and Advanced Glycation End Products research (10 papers). Sang Won Park is often cited by papers focused on Adenosine and Purinergic Signaling (15 papers), Acute Kidney Injury Research (11 papers) and Advanced Glycation End Products research (10 papers). Sang Won Park collaborates with scholars based in South Korea, United States and China. Sang Won Park's co-authors include Hye Jung Kim, Mihwa Kim, Vivette D. D’Agati, Ki Churl Chang, Sean W. C. Chen, Kevin M. Brown, Hwajin Kim, Hana Jin, Eun‐Jung Park and Gyung Hyuck Ko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Sang Won Park

120 papers receiving 3.4k citations

Peers

Sang Won Park
Comparison fields: 5 of 129
  • Molecular Biology 1.4k
  • Epidemiology 493
  • Immunology 443
  • Nephrology 442
  • Surgery 439
Replace Li Xiao with:
Li Xiao China
Gopabandhu Jena India
Yaw L. Siow Canada
Stefano Menini Italy
Massimo Collino Italy
C. Kennedy Canada
Jessica Maiuolo Italy
Long Yi China
Mohanraj Rajesh United States
Mattias Carlström Sweden
Li Xiao China View profile →
Citations per field, relative to Sang Won Park
Sang Won Park · 1×
Citations per year, relative to Sang Won Park
Sang Won Park · 1×

Countries citing papers authored by Sang Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Sang Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Won Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Won Park. A scholar is included among the top collaborators of Sang Won Park 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 Sang Won Park. Sang Won Park 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 2
2 4
3 1
4 3
5 1
6 5
7 61
8 35
9 15
10 85
11 8
12 3
13
A case of primary splenic lymphoma presenting as a splenic abscess
0
14 33
15 26
16
General Pharmacological Study of GCSB-5, a Herbal Formulation
1
17 1
18 1
19 1
20 15

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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