Tri Tran

1.6k citations
36 papers · 1.3k · h-index 19

Impact in

    • Spondyloarthritis Studies and Treatments
    • Rheumatoid Arthritis Research and Therapies
  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research

Papers in

Tri Tran

35 papers receiving 1.2k citations

Peers

Tri Tran
Comparison fields: 5 of 93
  • Rheumatology 467
  • Hematology 207
  • Immunology 349
  • Infectious Diseases 168
  • Pharmacology 152
Replace Akiko Hori with:
Akiko Hori Japan
Anna Maria Offidani Italy
Freidoun Albertioni Sweden
Nancy J. Ganson United States
Mojca Frank‐Bertoncelj Switzerland
Matthew P. Kosloski United States
Azhar Ansari United Kingdom
Guiying Zhang China
Amy Lin United States
Gergely Tibor Kozma Hungary
Tri Tran relative to Akiko Hori Japan Akiko Hori's profile →
Citations per field
00.5×10×13.8×
Akiko Hori · 1×
Citations per year

Countries citing papers authored by Tri Tran

Since Specialization
Citations

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

Fields of papers citing papers by Tri Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013204
2 2013179
3 2006145
4 2009116
5 200483
6 200883
7 201761
8 201746
9 200940
10 201532
11
Patients' experience of chronic illness care in a network of teaching settings.
201230
12
Expression of neurofibromatosis 2 transcript and gene product during mouse fetal development.
199630
13 200127
14 201724
15 201524
16 201524
17 200920
18 201620
19 201520
20 202416

About Tri Tran

Tri Tran is a scholar working on Rheumatology, Molecular Biology, Immunology, Hematology and Surgery, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (9 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immune Cell Function and Interaction (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), T-cell and B-cell Immunology (2 papers), Cell death mechanisms and regulation (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Rheumatology (467 citations), Hematology (207 citations), Immunology (349 citations), Infectious Diseases (168 citations) and Pharmacology (152 citations). Tri Tran has collaborated with scholars based in United States, Vietnam and France. Frequent co-authors include Robert A. Colbert, Gerlinde Layh‐Schmitt, Joel D. Taurog, Nimman Satumtira, Martha L. Dorris, Jennifer Lê, John S. Bradley, Robert E. Hammer, Gale Romanowski and Edmund V. Capparelli. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Pediatric Critical Care Medicine and Gut Microbes.

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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