T M Chiang

861 citations
35 papers · 716 indexed · h-index 15

Impact in

Papers in

T M Chiang

33 papers receiving 656 citations

Peers

T M Chiang
Comparison fields: 5 of 89
  • Immunology and Allergy 129
  • Hematology 223
  • Cancer Research 96
  • Endocrinology 29
  • Cell Biology 85
Replace Narayanan Parthasarathy with:
Narayanan Parthasarathy United States
Anoop Singh Chauhan India
Vito Ruggiero Italy
Ian D. Haidl Canada
Philip A. Klenotic United States
Martin Ernst Germany
C Gallegos United States
Chris Dillen Belgium
Nicole Riché France
Takaichi Shimozato Japan
T M Chiang relative to Narayanan Parthasarathy United States Narayanan Parthasarathy's profile →
Citations per field
00.5×1.6×
Narayanan Parthasarathy · 1×
Citations per year

Countries citing papers authored by T M Chiang

Since Specialization
Citations

This map shows the geographic impact of T M Chiang'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 T M Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T M Chiang more than expected).

Fields of papers citing papers by T M Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T M Chiang. 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 T M Chiang. The network helps show where T M Chiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20253
4 20251
5 20252
6 200049
7 20008
8 199758
9 199620
10 199413
11 199313
12 199213
13 19904
14 199010
15 19895
16 19822
17
Ecto protein kinase of normal human fibroblasts and fibro sarcoma cells
19781
18
Effect of cyclic 3',5'-guanosine monophosphate on human platelet function.
197625
19 197578
20 197510

About T M Chiang

T M Chiang is a scholar working on Hematology, Geriatrics and Gerontology, Genetics, Cell Biology and Cancer Research, having authored 35 papers that have together received 716 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Protease and Inhibitor Mechanisms (5 papers), Streptococcal Infections and Treatments (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Immunology and Allergy (129 citations), Hematology (223 citations), Cancer Research (96 citations), Endocrinology (29 citations) and Cell Biology (85 citations). T M Chiang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include A H Kang, E H Beachey, Itzhak Ofek, Soman N. Abraham, Jonathan Reizer, Saryu N. Dixit, Andrew H. Kang, Ellen S. Kang, Yubo Wang and Sergio R. Acchiardo. Their work appears in journals such as Thrombosis Research, Journal of Biological Chemistry, Infection and Immunity, Journal of Clinical Investigation and Archives of Biochemistry and Biophysics.

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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