Fulong Tan

2.6k citations
54 papers · 2.1k indexed · h-index 28

Impact in

  • Genetics top 1%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Physiology top 1%
    • Adenosine and Purinergic Signaling

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 28
    • Adenosine and Purinergic Signaling 6

Fulong Tan

54 papers receiving 2.1k citations

Peers

Fulong Tan
Comparison fields: 5 of 99
  • Genetics 790
  • Physiology 205
  • Cardiology and Cardiovascular Medicine 548
  • Hematology 233
  • Oncology 473
Replace E G Erdös with:
E G Erdös United States
Christian Wallasch Germany
Eric D. Tomhave United States
L Chao United States
Ornella Azzolino Italy
Norbert Prenzel Germany
Marijke Bryckaert France
Yoshihiro Baba Japan
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Fulong Tan relative to E G Erdös United States E G Erdös's profile →
Citations per field
00.5×
E G Erdös · 1×
Citations per year

Countries citing papers authored by Fulong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Fulong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201219
2 201126
3 200843
4 200746
5 200632
6 200529
7 200511
8 200453
9 200290
10 200239
11 200212
12 200096
13 19988
14 199723
15 199541
16 199526
17 19921
18 199237
19 198811
20 19822

About Fulong Tan

Fulong Tan is a scholar working on Genetics, Physiology, Hematology, General Engineering and Oncology, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (28 papers), Peptidase Inhibition and Analysis (21 papers), Blood Coagulation and Thrombosis Mechanisms (12 papers), Renin-Angiotensin System Studies (11 papers), Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (7 papers), Adenosine and Purinergic Signaling (6 papers) and Mast cells and histamine (4 papers). The work is most often cited by research in Genetics (790 citations), Physiology (205 citations), Cardiology and Cardiovascular Medicine (548 citations), Hematology (233 citations) and Oncology (473 citations). Fulong Tan has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Randal A. Skidgel, Ervin G. Erdös, Branislav M. Marcic, Herbert L. Jackman, Peter A. Deddish, Viktor Brovkovych, Richard M. Davis, Robert P. Becker, Claudie Hecquet and Richard D. Minshall. Their work appears in journals such as Journal of Biological Chemistry, Hypertension, Biochemical Journal, American Journal of Physiology-Heart and Circulatory Physiology and Molecular Pharmacology.

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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