Dung Thai

2.1k citations
35 papers · 725 · h-index 15

Impact in

Papers in

Dung Thai

33 papers receiving 702 citations

Peers

Dung Thai
Comparison fields: 5 of 76
  • Toxicology 118
  • Endocrinology, Diabetes and Metabolism 120
  • Cellular and Molecular Neuroscience 85
  • Oncology 113
  • Cancer Research 53
Replace Rivka Hadar with:
Rivka Hadar Israel
Srinivasan Krishnan United States
Harlan W. Cole United States
Waldemar Radziszewski United States
Zhenggang Xiong United States
Mutsuhiro Kobayashi Japan
Paul DaSilva‐Jardine United States
Susan Chippari United States
Kaoru Terai United States
William M. Selig United States
Dung Thai relative to Rivka Hadar Israel Rivka Hadar's profile →
Citations per field
00.5×6.9×
Rivka Hadar · 1×
Citations per year

Countries citing papers authored by Dung Thai

Since Specialization
Citations

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

Fields of papers citing papers by Dung Thai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 200668
3 201751
4 200646
5 202145
6 200644
7 199842
8 202240
9 202138
10 199838
11 201932
12 199928
13 201925
14 202020
15 201920
16 202413
17 202213
18 200712
19 200212
20 20229

About Dung Thai

Dung Thai is a scholar working on Molecular Biology, Oncology, Surgery, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 725 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (6 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Pancreatic function and diabetes (4 papers), Forensic Toxicology and Drug Analysis (3 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Toxicology (118 citations), Endocrinology, Diabetes and Metabolism (120 citations), Cellular and Molecular Neuroscience (85 citations), Oncology (113 citations) and Cancer Research (53 citations). Dung Thai has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Christine Haller, Jo Ellen Dyer, Peyton Jacob, Hai Yan, Neal L. Benowitz, James M. Perel, Zev A. Wainberg, Manish A. Shah, Henry Rapoport and Johanna C. Bendell. Their work appears in journals such as Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, The Journal of Organic Chemistry, JACC Basic to Translational Science and iScience.

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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