John H. Tran

2.4k total citations
13 papers, 1.9k citations indexed

About

John H. Tran is a scholar working on Molecular Medicine, Pharmacology and Molecular Biology. According to data from OpenAlex, John H. Tran has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Medicine, 6 papers in Pharmacology and 5 papers in Molecular Biology. Recurrent topics in John H. Tran's work include Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Cancer therapeutics and mechanisms (3 papers). John H. Tran is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Cancer therapeutics and mechanisms (3 papers). John H. Tran collaborates with scholars based in United States, China and Spain. John H. Tran's co-authors include George A. Jacoby, David C. Hooper, Stephen DiNardo, Tamara J. Brenner, Fu Wang, Minggui Wang, Yingyuan Zhang, Nancy A. Chow, Santiago Hernández-Allés and Ana Isabel Suárez and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

John H. Tran

13 papers receiving 1.9k citations

Peers

John H. Tran
Comparison fields: 5 of 78
  • Molecular Medicine 1.3k
  • Molecular Biology 627
  • Pharmacology 537
  • Endocrinology 480
  • Pollution 386
Vickers Burdett United States
Zhi-xue Cheng China
Gracia Morales Spain
Gustavo Cerqueira United States
Kim Lee Chua Singapore
Daniel G. Lee United States
Jenny K. Broome‐Smith United Kingdom
Rita Zilhão Portugal
Iyarit Thaipisuttikul Thailand
Ria van Boxtel Netherlands
Vickers Burdett United States View profile →
Citations per field, relative to John H. Tran
John H. Tran · 1×
Citations per year, relative to John H. Tran
John H. Tran · 1×

Countries citing papers authored by John H. Tran

Since Specialization
Citations

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

Fields of papers citing papers by John H. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John H. Tran

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Tran. A scholar is included among the top collaborators of John H. 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 John H. Tran. John H. Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 12
3 124
4 215
5 149
6 17
7 378
8 419
9 206
10 28
11 212
12 45
13 105

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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