Hai T. Tran

15.0k citations
168 papers · 7.5k indexed · 1 hit paper · h-index 42
Topics
Lung Cancer Treatments and Mutations (45 papers)Cancer Genomics and Diagnostics (22 papers)Lung Cancer Research Studies (19 papers)

In The Last Decade

Hai T. Tran

163 papers receiving 7.3k citations

Hit Papers

TRIBUTE: A Phase III Trial of Erlotinib Hydrochloride (OS...200520262012201920054008001.2k

Peers

Hai T. Tran
Comparison fields: 5 of 150
  • Oncology 3.5k
  • Molecular Biology 2.9k
  • Pulmonary and Respiratory Medicine 2.9k
  • Cancer Research 1.4k
  • Hematology 808
Replace Michele W.L. Teng with:
Michele W.L. Teng Australia
Haidong Dong United States
Vikram Deshpande United States
Gang Huang China
A M Gown United States
John A. Thompson United States
Peiguo Chu United States
Yoshiyuki Nakajima Japan
Lawrence Fong United States
Go Watanabe Japan
Hai T. Tran relative to Michele W.L. Teng Australia Michele W.L. Teng's profile →
Citations per field
00.5×1.5×1.9×
Michele W.L. Teng · 1×
Citations per year

Countries citing papers authored by Hai T. Tran

Since Specialization
Citations

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

Fields of papers citing papers by Hai T. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai T. Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Hai T. Tran. A scholar is included among the top collaborators of Hai T. Tran 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 Hai T. Tran. Hai T. Tran 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 2
2 2
3 2
4 5
5 32
6 62
7 1
8 6
9 1
10 10
11 19
12 51
13 43
14 48
15 33
16 27
17 57
18 68
19
Phase I study of oral topotecan in hematological malignancies.
9
20 220

About Hai T. Tran

Hai T. Tran is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 168 papers that have together received 7.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (45 papers), Cancer Genomics and Diagnostics (22 papers) and Lung Cancer Research Studies (19 papers). The work is most often cited by research in Oncology (3.5k citations), Cancer Research (1.4k citations) and Pulmonary and Respiratory Medicine (2.9k citations). Hai T. Tran has collaborated with scholars based in United States, Vietnam and China. Frequent co-authors include John V. Heymach, Roy S. Herbst, Alan Sandler, David H. Johnson, David A. Ramies, Bruce E. Johnson, Timothy Madden, Pam Klein, Vincent A. Miller and Róbert Hermann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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