Teh‐Ia Huo

10.1k citations
256 papers · 7.7k indexed · h-index 46
  • Hepatology top 0.05%
    • Hepatocellular Carcinoma Treatment and Prognosis 145
    • Liver Disease and Transplantation 91
    • Hepatitis C virus research 40
  • Epidemiology top 0.2%
    • Liver Disease Diagnosis and Treatment 174
    • Hepatitis B Virus Studies 52
    • Cancer, Lipids, and Metabolism 28
  • Surgery top 2%
    • Cholangiocarcinoma and Gallbladder Cancer Studies 35
    • Organ Transplantation Techniques and Outcomes 20
  • Oncology top 5%

Teh‐Ia Huo

251 papers receiving 7.6k citations

Peers

Teh‐Ia Huo
Comparison fields: 5 of 136
  • Hepatology 5.7k
  • Epidemiology 4.8k
  • Cancer Research 1.0k
  • Surgery 1.7k
  • Oncology 972
Replace Do Young Kim with:
Do Young Kim South Korea
Nathalie Ganne‐Carrié France
Dominique Wendum France
Maria Guido Italy
Geum‐Youn Gwak South Korea
Yong‐Han Paik South Korea
Josep Fuster Spain
Si Hyun Bae South Korea
Jean–Claude Trinchet France
Maurizio Pompili Italy
Teh‐Ia Huo relative to Do Young Kim South Korea Do Young Kim's profile →
Citations per field
00.5×1.5×
Do Young Kim · 1×
Citations per year

Countries citing papers authored by Teh‐Ia Huo

Since Specialization
Citations

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

Fields of papers citing papers by Teh‐Ia Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teh‐Ia Huo. 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 Teh‐Ia Huo. The network helps show where Teh‐Ia Huo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Teh‐Ia Huo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teh‐Ia Huo Line = papers co-authored together Teh‐Ia Huo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202414
2 20241
3 20228
4 20226
5 20226
6 202116
7 20202
8 202013
9 202031
10 202010
11 202010
12 201976
13 201911
14 201827
15 20188
16 20183
17 201812
18 201832
19 201733
20 201735

About Teh‐Ia Huo

Teh‐Ia Huo is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 256 papers that have together received 7.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (174 papers), Hepatocellular Carcinoma Treatment and Prognosis (145 papers), Liver Disease and Transplantation (91 papers), Hepatitis B Virus Studies (52 papers), Hepatitis C virus research (40 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (35 papers), Cancer, Lipids, and Metabolism (28 papers) and Organ Transplantation Techniques and Outcomes (20 papers). The work is most often cited by research in Hepatology (5.7k citations), Epidemiology (4.8k citations) and Cancer Research (1.0k citations). Teh‐Ia Huo has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yi‐Hsiang Huang, Han‐Chieh Lin, Chien‐Wei Su, Shou‐Dong Lee, Cheng‐Yuan Hsia, Chia‐Yang Hsu, Jaw‐Ching Wu, Po‐Hong Liu, Fa‐Yauh Lee and Yi‐You Chiou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Gastroenterology.

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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