Zhongren Ding

2.2k citations
40 papers · 1.6k · 1 hit paper · h-index 18

Impact in

Papers in

Zhongren Ding

39 papers receiving 1.5k citations

Hit Papers

SARS-CoV-2 binds platelet ACE2 to enhance thrombosis in COVID-19 2020 · 474 citations
4740+2+4Years since publication100200300400

Peers

Zhongren Ding
Comparison fields: 5 of 108
  • Internal Medicine 182
  • Physiology 183
  • Hematology 289
  • Cardiology and Cardiovascular Medicine 462
  • Infectious Diseases 357
Replace Marta Brambilla with:
Marta Brambilla Italy
Hirofumi Tomita Japan
Zengxiang Dong China
Mohammad Zahid Ashraf India
Rozenn Quarck Belgium
Órla P. Barry Ireland
Anna Klinke Germany
Howard Goldberg Canada
Paul C. Armstrong United Kingdom
Sonia Eligini Italy
Zhongren Ding relative to Marta Brambilla Italy Marta Brambilla's profile →
Citations per field
00.5×10×15.3×
Marta Brambilla · 1×
Citations per year

Countries citing papers authored by Zhongren Ding

Since Specialization
Citations

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

Fields of papers citing papers by Zhongren Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 binds platelet ACE2 to enhance thrombosis in COVID-19
Hit paper breakdown →
2020474
2 2020169
3 2003165
4 201780
5 200372
6 201568
7 200462
8 200454
9 201447
10 202232
11 201531
12 201128
13 201026
14 201226
15 201625
16 200523
17 200420
18 202019
19 201217
20 200317

About Zhongren Ding

Zhongren Ding is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Hematology, Physiology and Immunology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (18 papers), Platelet Disorders and Treatments (12 papers), Adenosine and Purinergic Signaling (6 papers), Receptor Mechanisms and Signaling (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Synthesis of β-Lactam Compounds (3 papers). The work is most often cited by research in Internal Medicine (182 citations), Physiology (183 citations), Hematology (289 citations), Cardiology and Cardiovascular Medicine (462 citations) and Infectious Diseases (357 citations). Zhongren Ding has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Satya P. Kunapuli, Si Zhang, Liang Hu, Soochong Kim, Robert T. Dorsam, Shenghui Zhang, Jianguo Jin, Yangyang Liu, Jianzeng Dong and Zhichao Fan. Their work appears in journals such as Stem Cell Research, Thrombosis and Haemostasis, Circulation, Blood and Biochemical 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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