Hung Pham

1.5k citations
45 papers · 1.2k · h-index 23

Impact in

    • Flavonoids in Medical Research
    • Inflammatory mediators and NSAID effects
    • Gastrointestinal motility and disorders

Papers in

    • Inflammatory mediators and NSAID effects 8
    • Flavonoids in Medical Research 3
    • Cancer, Lipids, and Metabolism 6

Hung Pham

45 papers receiving 1.2k citations

Peers

Hung Pham
Comparison fields: 5 of 92
  • Pharmacology 240
  • Gastroenterology 68
  • Endocrinology, Diabetes and Metabolism 182
  • Behavioral Neuroscience 34
  • Sensory Systems 38
Replace Hai Dan Jin with:
Hai Dan Jin China
Iwao Arai Japan
Yoshiko Tokutomi Japan
Susumo Otomo Japan
Chintan N. Koyani Austria
Soo Kyoung Choi South Korea
Nobuko Futaki Japan
Tsuei-Ju Wu United States
Yasuo Wakabayashi Japan
Mourad Ferdaoussi Canada
Hung Pham relative to Hai Dan Jin China Hai Dan Jin's profile →
Citations per field
00.5×2×2.8×
Hai Dan Jin · 1×
Citations per year

Countries citing papers authored by Hung Pham

Since Specialization
Citations

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

Fields of papers citing papers by Hung Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011125
2 201997
3 202065
4 201463
5 201358
6 201157
7 201952
8 201349
9 200140
10 202137
11 201236
12 200634
13 200733
14 201633
15 200629
16 200427
17 200827
18 202025
19 201024
20 201924

About Hung Pham

Hung Pham is a scholar working on Pharmacology, Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (8 papers), Cancer, Lipids, and Metabolism (6 papers), Diabetes Treatment and Management (6 papers), Cardiovascular Syncope and Autonomic Disorders (5 papers), Estrogen and related hormone effects (4 papers), Diet and metabolism studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Flavonoids in Medical Research (3 papers). The work is most often cited by research in Pharmacology (240 citations), Gastroenterology (68 citations), Endocrinology, Diabetes and Metabolism (182 citations), Behavioral Neuroscience (34 citations) and Sensory Systems (38 citations). Hung Pham has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Vincent A. Ziboh, Karen L. Jones, Oscar Joe Hines, Howard A. Reber, Michael Bruce Horowitz, Stephen Jacob Pandol, Christopher Keith Rayner, Tongzhi Wu, Seva Hatzinikolas and Lee Warren Slice. Their work appears in journals such as Nutrients, Gastroenterology, Diabetes Obesity and Metabolism, Pancreas and Prostaglandins Leukotrienes and Essential Fatty Acids.

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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