Suyong Choi

1.7k total citations
29 papers, 1.3k citations indexed

About

Suyong Choi is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Suyong Choi has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Cell Biology and 8 papers in Immunology and Allergy. Recurrent topics in Suyong Choi's work include Cellular transport and secretion (10 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Cell Adhesion Molecules Research (8 papers). Suyong Choi is often cited by papers focused on Cellular transport and secretion (10 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Cell Adhesion Molecules Research (8 papers). Suyong Choi collaborates with scholars based in United States, South Korea and Japan. Suyong Choi's co-authors include Richard A. Anderson, Narendra Thapa, Xiaojun Tan, Andrew C. Hedman, Sang Eun Lee, Vincent L. Cryns, Tianmu Wen, Mo Chen, Taekyoung Kwak and David B. Sacks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Suyong Choi

29 papers receiving 1.3k citations

Peers

Suyong Choi
Comparison fields: 5 of 89
  • Molecular Biology 835
  • Cell Biology 512
  • Oncology 216
  • Immunology 189
  • Epidemiology 154
Replace Narendra Thapa with:
Narendra Thapa United States
Guillaume Montagnac France
Jay Shankar Canada
Michaël Sebbagh France
Atsuko Yoneda Japan
Maiko Higuchi Japan
Liu-Ya Tang United States
Rina Plattner United States
Lee Jamieson United States
Konstantina Alexandropoulos United States
Narendra Thapa United States View profile →
Citations per field, relative to Suyong Choi
Suyong Choi · 1×
Citations per year, relative to Suyong Choi
Suyong Choi · 1×

Countries citing papers authored by Suyong Choi

Since Specialization
Citations

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

Fields of papers citing papers by Suyong Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyong Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Suyong Choi. A scholar is included among the top collaborators of Suyong Choi 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 Suyong Choi. Suyong Choi 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 77
2 64
3 33
4 76
5 22
6 97
7 36
8 59
9 37
10 38
11 24
12 53
13 12
14 6
15 8
16 60
17 99
18 9
19 101
20 43

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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