Lan Tran

19 papers receiving 510 citations

Peers

Lan Tran
Comparison fields: 5 of 71
  • Obstetrics and Gynecology 169
  • Pharmacology 153
  • Pediatrics, Perinatology and Child Health 234
  • Pharmacology 91
  • Genetics 52
Replace Ganesh Cherala with:
Ganesh Cherala United States
Fumihiko Ushigome Japan
Martha Sosa‐Macías Mexico
Xian Pan United Kingdom
Steven J. Leeder United States
Álvaro Cerda Brazil
Amita Pansari United Kingdom
Cindy Woodland Canada
María Luisa Miranda Spain
Monika Hitzl Germany
Lan Tran relative to Ganesh Cherala United States Ganesh Cherala's profile →
Citations per field
00.5×
Ganesh Cherala · 1×
Citations per year

Countries citing papers authored by Lan Tran

Since Specialization
Citations

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

Fields of papers citing papers by Lan Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008166
2
Grapefruit juice-felodipine interaction: reproducibility and characterization with the extended release drug formulation.
199588
3 199681
4 199752
5 199543
6 201423
7 200618
8 200515
9 201611
10 200910
11 20155
12 20174
13 20184
14 20212
15 20212
16 20251
17 20231
18 20141
19 20031
20 20230

About Lan Tran

Lan Tran is a scholar working on Clinical Biochemistry, Genetics, Hematology, Obstetrics and Gynecology and Emergency Medicine, having authored 21 papers that have together received 528 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood groups and transfusion (4 papers), Pregnancy and preeclampsia studies (3 papers), Poisoning and overdose treatments (3 papers), Prenatal Screening and Diagnostics (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Preterm Birth and Chorioamnionitis (2 papers). The work is most often cited by research in Obstetrics and Gynecology (169 citations), Pharmacology (153 citations), Pediatrics, Perinatology and Child Health (234 citations), Pharmacology (91 citations) and Genetics (52 citations). Lan Tran has collaborated with scholars based in United States, Vietnam and Canada. Frequent co-authors include J. David Spence, David G. Bailey, J. Malcolm O. Arnold, John R. Bend, Bonnie K. Dwyer, Ian Carroll, Usha Chitkara, Victoria Belogolovkin, Richard A. Barth and John G. Clement. Their work appears in journals such as Blood, Clinical Pharmacology & Therapeutics, American Journal of Obstetrics and Gynecology, Journal of Ultrasound in Medicine and Clinical ophthalmology.

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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