Sinh Tran

898 citations
25 papers · 695 · h-index 15

Impact in

  • Hematology top 2%
    • Blood Coagulation and Thrombosis Mechanisms
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 16
    • Hemophilia Treatment and Research 7
    • Sphingolipid Metabolism and Signaling 3

Sinh Tran

25 papers receiving 687 citations

Peers

Sinh Tran
Comparison fields: 5 of 64
  • Hematology 369
  • Genetics 130
  • Internal Medicine 36
  • Immunology 75
  • Nutrition and Dietetics 47
Replace Erika Diani with:
Erika Diani Italy
Kumiko Watanabe Japan
Maren Krause Germany
P.D. Bishop United States
L. Borgato Italy
Yi‐Tao Zeng China
Chiara Sartor Italy
Takayuki Yoshizaki Japan
Eleana Harmel-Laws United States
Zonne L. M. Hofman Netherlands
Sinh Tran relative to Erika Diani Italy Erika Diani's profile →
Citations per field
00.5×5.5×
Erika Diani · 1×
Citations per year

Countries citing papers authored by Sinh Tran

Since Specialization
Citations

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

Fields of papers citing papers by Sinh Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 2013104
3 200357
4 201646
5 201734
6 200833
7 201031
8 200631
9 200629
10 200627
11 200326
12 200524
13 200923
14 200818
15 202115
16 200413
17 202213
18 201911
19 200910
20 20096

About Sinh Tran

Sinh Tran is a scholar working on Hematology, Molecular Biology, Surgery, Genetics and Plant Science, having authored 25 papers that have together received 695 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (16 papers), Hemophilia Treatment and Research (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Mycotoxins in Agriculture and Food (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hematology (369 citations), Genetics (130 citations), Internal Medicine (36 citations), Immunology (75 citations) and Nutrition and Dietetics (47 citations). Sinh Tran has collaborated with scholars based in Sweden, France and United States. Frequent co-authors include Björn Dahlbäck, Eva Norström, Mårten Steen, Mario Ruiz, Cecilia Frej, Lisa M. Vincent, Dianna M. Milewicz, Tracy A Bensend, Philippe Guerre and Jean‐Denis Bailly. Their work appears in journals such as Journal of Biological Chemistry, Journal of Thrombosis and Haemostasis, Chemico-Biological Interactions, BMB Reports and Blood.

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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