Jake T. Liang

7.6k citations
40 papers · 4.8k indexed · 2 hit papers · h-index 29
Topics
Hepatitis C virus research (33 papers)Hepatitis B Virus Studies (23 papers)Liver Disease Diagnosis and Treatment (22 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Jake T. Liang

39 papers receiving 4.7k citations

Hit Papers

Hepatitis B: The virus and disease #200420262011201820092004200400600

Peers

Jake T. Liang
Comparison fields: 5 of 113
  • Epidemiology 3.8k
  • Hepatology 3.2k
  • Molecular Biology 560
  • Endocrinology, Diabetes and Metabolism 552
  • Infectious Diseases 518
Replace Jean‐Pierre Zarski with:
Jean‐Pierre Zarski France
Antonina Smedile Italy
Shinichi Kakumu Japan
Andreas Cerny Switzerland
Jaw‐Ching Wu Taiwan
Mitsuhiko Moriyama Japan
Norio Horiike Japan
Amir Shlomai Israel
Chien‐Hung Chen Taiwan
S. Rossol Germany
Jake T. Liang relative to Jean‐Pierre Zarski France Jean‐Pierre Zarski's profile →
Citations per field
00.5×2.7×
Jean‐Pierre Zarski · 1×
Citations per year

Countries citing papers authored by Jake T. Liang

Since Specialization
Citations

This map shows the geographic impact of Jake T. Liang'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 Jake T. Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake T. Liang more than expected).

Fields of papers citing papers by Jake T. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake T. Liang. 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 Jake T. Liang. The network helps show where Jake T. Liang may publish in the future.

Co-authorship network of co-authors of Jake T. Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jake T. Liang. A scholar is included among the top collaborators of Jake T. Liang 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 Jake T. Liang. Jake T. Liang 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
#WorkIndexed citations
1 26
2 92
3 36
4 90
5 124
6 369
7
Hepatitis B: The virus and disease #breakdown →
701
8 214
9 52
10 58
11 69
12 79
13
A pilot study of pioglitazone treatment for nonalcoholic steatohepatitis† ‡breakdown →
587
14 46
15 77
16 83
17 288
18 3
19 6
20 1

About Jake T. Liang

Jake T. Liang is a scholar working on Hepatology, Epidemiology and Rheumatology, having authored 40 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (33 papers), Hepatitis B Virus Studies (23 papers) and Liver Disease Diagnosis and Treatment (22 papers). The work is most often cited by research in Hepatology (3.2k citations), Epidemiology (3.8k citations) and Endocrinology, Diabetes and Metabolism (552 citations). Jake T. Liang has collaborated with scholars based in United States, Japan and France. Frequent co-authors include David E. Kleiner, David R. Milich, Jay H. Hoofnagle, Jordan J. Feld, Yoon Park, Marc G. Ghany, Edward Doo, Yaron Rotman, Theo Heller and Hubert E. Blum. Their work appears in journals such as Gastroenterology, Hepatology and The American Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026