Jin Seong Cho

1.5k total citations
77 papers, 1.1k citations indexed

About

Jin Seong Cho is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jin Seong Cho has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 21 papers in Molecular Biology and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jin Seong Cho's work include Thyroid Cancer Diagnosis and Treatment (18 papers), Plant Gene Expression Analysis (16 papers) and Thyroid and Parathyroid Surgery (14 papers). Jin Seong Cho is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (18 papers), Plant Gene Expression Analysis (16 papers) and Thyroid and Parathyroid Surgery (14 papers). Jin Seong Cho collaborates with scholars based in South Korea, United States and India. Jin Seong Cho's co-authors include Min Ho Park, Jung Han Yoon, Jae‐Heung Ko, Eung‐Jun Park, Young‐Im Choi, Hyung‐Woo Jeon, Hee Kyung Kim, Hyoshin Lee, Min-Ha Kim and Kyung‐Hwan Han and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Jin Seong Cho

65 papers receiving 1.1k citations

Peers

Jin Seong Cho
Comparison fields: 5 of 97
  • Molecular Biology 407
  • Plant Science 268
  • Endocrinology, Diabetes and Metabolism 242
  • Surgery 201
  • Oncology 171
Replace Se Won Kim with:
Se Won Kim South Korea
Vincenzo De Simone Italy
Bin Bai China
Zhijian Xiao China
Jian‐Kun Hu China
Craig A. Byersdorfer United States
Asad Ullah United States
Carla Di Stefano Italy
Hideaki Niiyama Japan
Se Won Kim South Korea View profile →
Citations per field, relative to Jin Seong Cho
Jin Seong Cho · 1×
Citations per year, relative to Jin Seong Cho
Jin Seong Cho · 1×

Countries citing papers authored by Jin Seong Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jin Seong Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Seong Cho. 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 Jin Seong Cho. The network helps show where Jin Seong Cho may publish in the future.

Co-authorship network of co-authors of Jin Seong Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Seong Cho. A scholar is included among the top collaborators of Jin Seong Cho 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 Jin Seong Cho. Jin Seong Cho 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 0
3 1
4 3
5 22
6 25
7 7
8 11
9 47
10 18
11 6
12 8
13 75
14 27
15 73
16 10
17
Risk of thyroid and breast cancer associated with methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism in Korea
0
18 18
19 56
20
Design Issues for Multimedia Information Servers in Mobile Computing Environment
0

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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