Chang-Hoon Woo

3.3k total citations
53 papers, 2.6k citations indexed

About

Chang-Hoon Woo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Chang-Hoon Woo has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 16 papers in Immunology and 10 papers in Oncology. Recurrent topics in Chang-Hoon Woo's work include Protein Kinase Regulation and GTPase Signaling (10 papers), Immune Response and Inflammation (9 papers) and Ubiquitin and proteasome pathways (7 papers). Chang-Hoon Woo is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (10 papers), Immune Response and Inflammation (9 papers) and Ubiquitin and proteasome pathways (7 papers). Chang-Hoon Woo collaborates with scholars based in South Korea, United States and Japan. Chang-Hoon Woo's co-authors include Jae‐Hong Kim, Jae Hyang Lim, Jun‐ichi Abe, Carolyn McClain, Min‐Hyuk Yoo, Sung-Hoon Cho, Tetsuro Shishido, Jiandong Li, Yan Chen and Kyung‐Sun Heo and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Chang-Hoon Woo

53 papers receiving 2.5k citations

Peers

Chang-Hoon Woo
Comparison fields: 5 of 114
  • Molecular Biology 1.4k
  • Immunology 719
  • Cancer Research 416
  • Oncology 315
  • Physiology 307
Replace Zheng‐Gen Jin with:
Zheng‐Gen Jin United States
Qingbo Xu Austria
Randall S. Frey United States
Suk‐Hwan Baek South Korea
Le Anh Luong United Kingdom
Evi Schmid Germany
Andrea S. Bauer Germany
Angela Raucci Italy
Stephen A. Stimpson United States
Xiangdong Zhu United States
Zheng‐Gen Jin United States View profile →
Citations per field, relative to Chang-Hoon Woo
Chang-Hoon Woo · 1×
Citations per year, relative to Chang-Hoon Woo
Chang-Hoon Woo · 1×

Countries citing papers authored by Chang-Hoon Woo

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Hoon Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Hoon Woo. 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 Chang-Hoon Woo. The network helps show where Chang-Hoon Woo may publish in the future.

Co-authorship network of co-authors of Chang-Hoon Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Hoon Woo. A scholar is included among the top collaborators of Chang-Hoon Woo 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 Chang-Hoon Woo. Chang-Hoon Woo 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 22
2 31
3 12
4 17
5 41
6 11
7 37
8 68
9 46
10 23
11 73
12 36
13 150
14 60
15 44
16 74
17 17
18 34
19 83
20 25

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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