Chang-Goo Huh

1.4k citations
10 papers · 1.2k indexed · 1 hit paper · h-index 9
Topics
Hedgehog Signaling Pathway Studies (2 papers)Liver physiology and pathology (2 papers)Microtubule and mitosis dynamics (2 papers)
Partner nations
United StatesSwedenItaly

In The Last Decade

Chang-Goo Huh

10 papers receiving 1.2k citations

Hit Papers

Hepatocyte growth factor/c-metsignaling pathway is requir...20042026201120182004200400600

Peers

Chang-Goo Huh
Comparison fields: 5 of 84
  • Molecular Biology 508
  • Hepatology 478
  • Surgery 294
  • Oncology 184
  • Epidemiology 183
Replace Toshiyuki Otsuka with:
Toshiyuki Otsuka Japan
Usman Yaqoob United States
Cyrill Géraud Germany
Shuhei Yoshida Japan
Richard Sharp United States
Christopher Benyon United Kingdom
Kornélia Baghy Hungary
Gang‐Hong Lee Japan
Chengliu Jin United States
Chang-Goo Huh relative to Toshiyuki Otsuka Japan Toshiyuki Otsuka's profile →
Citations per field
00.5×3.2×
Toshiyuki Otsuka · 1×
Citations per year

Countries citing papers authored by Chang-Goo Huh

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Goo Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Goo Huh

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Goo Huh. A scholar is included among the top collaborators of Chang-Goo Huh 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-Goo Huh. Chang-Goo Huh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 87
2 61
3
Hepatocyte growth factor/c-metsignaling pathway is required for efficient liver regeneration and repairbreakdown →
611
4 54
5 2
6 98
7 30
8 51
9 41
10
Transforming growth factor-beta 1 null mice. An animal model for inflammatory disorders.
141

About Chang-Goo Huh

Chang-Goo Huh is a scholar working on Hepatology, Immunology and Allergy and Clinical Biochemistry, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (2 papers), Liver physiology and pathology (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Hepatology (478 citations), Cancer Research (154 citations) and Molecular Biology (508 citations). Chang-Goo Huh has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Snorri S. Thorgeirsson, Valentina M. Factor, Aranzazu Sánchez, Koichi Uchida, Elizabeth A. Conner, Magnus Abrahamson, Stefan Karlsson, Anders Grubb, Stefán Karlsson and Katarina Håkansson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Hepatology.

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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