Hung Huynh

7.2k citations
163 papers · 5.7k indexed · 1 hit paper · h-index 43

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Cancer, Hypoxia, and Metabolism

Papers in

Hung Huynh

158 papers receiving 5.6k citations

Hit Papers

Establishment of bovine mammary epithelial cells (MAC-T): An in vitro model for bovine lactation 1991 · 428 citations
4281991202620022014100200300400

Peers

Hung Huynh
Comparison fields: 5 of 119
  • Hepatology 807
  • Cancer Research 1.2k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Pathology and Forensic Medicine 1.1k
  • Oncology 1.3k
Replace Zemin Yao with:
Zemin Yao Canada
Shuichi Kaneko Japan
Hiroaki Sakurai Japan
Steven F. Bronk United States
Masao Honda Japan
Lorraine A. O’Reilly Australia
Heinfried H. Radeke Germany
Kwang‐Huei Lin Taiwan
John M. Mariadason Australia
Peter Bannasch Germany
Hung Huynh relative to Zemin Yao Canada Zemin Yao's profile →
Citations per field
00.5×4.3×
Zemin Yao · 1×
Citations per year

Countries citing papers authored by Hung Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Hung Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Huynh. 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 Hung Huynh. The network helps show where Hung Huynh may publish in the future.

Co-authors

The 25 scholars most cited alongside Hung Huynh, 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 Hung Huynh Line = papers co-authored together Hung Huynh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 201855
5 201651
6 201541
7 201560
8 201585
9 20152
10 20139
11 201120
12 201124
13 200928
14 20081
15 200614
16 2003231
17 200336
18 200122
19 19983
20 199131

About Hung Huynh

Hung Huynh is a scholar working on Hepatology, Cancer Research, Endocrinology, Diabetes and Metabolism, Oncology and Pathology and Forensic Medicine, having authored 163 papers that have together received 5.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (34 papers), Hepatocellular Carcinoma Treatment and Prognosis (31 papers), Cancer Mechanisms and Therapy (24 papers), Cancer, Hypoxia, and Metabolism (24 papers), PI3K/AKT/mTOR signaling in cancer (18 papers), Fibroblast Growth Factor Research (18 papers), Cancer-related Molecular Pathways (15 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Hepatology (807 citations), Cancer Research (1.2k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Pathology and Forensic Medicine (1.1k citations) and Oncology (1.3k citations). Hung Huynh has collaborated with scholars based in Singapore, Canada and United States. Frequent co-authors include Michaël Pollak, Pierce K. H. Chow, Khee Chee Soo, Jeffrey D. Turner, Gilles Robitaille, T Nickerson, Evelyn Tran, Xiaofeng Yang, Alexander Yaw Fui Chung and Richard Ong. Their work appears in journals such as International Journal of Oncology, Molecular Cancer Therapeutics, Cancer Research, Endocrinology and Journal of Cellular Physiology.

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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