Dingyi Wang

476 citations
40 papers · 275 · h-index 10

Impact in

Papers in

Dingyi Wang

33 papers receiving 269 citations

Peers

Dingyi Wang
Comparison fields: 5 of 53
  • Internal Medicine 107
  • Complementary and alternative medicine 20
  • Nephrology 17
  • Infectious Diseases 31
  • Hematology 17
Replace Ewa Haładyj with:
Ewa Haładyj Poland
Xiaoying Sun China
Alina Onofrei United States
Arabesque Parker Canada
Thomas Feichtenschlager Austria
David L. Hyslop United States
Dušan Loderer Slovakia
Hongbo Liu China
Kirtikant V. Sheth Saudi Arabia
Michael R. Klaber United Kingdom
Dingyi Wang relative to Ewa Haładyj Poland Ewa Haładyj's profile →
Citations per field
00.5×5×10×13.4×
Ewa Haładyj · 1×
Citations per year

Countries citing papers authored by Dingyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dingyi Wang, 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 Dingyi Wang Line = papers co-authored together Dingyi Wang 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 202342
2 202137
3 202326
4 202221
5 202017
6 202216
7 202113
8 202012
9 202111
10 202210
11 20237
12 20226
13 20256
14 20224
15 20234
16 20234
17 20244
18 20244
19 20244
20 20223

About Dingyi Wang

Dingyi Wang is a scholar working on Internal Medicine, Pulmonary and Respiratory Medicine, Nephrology, Infectious Diseases and Hematology, having authored 40 papers that have together received 275 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (23 papers), Pulmonary Hypertension Research and Treatments (5 papers), COVID-19 Clinical Research Studies (3 papers), Acute Kidney Injury Research (2 papers), Genetic Associations and Epidemiology (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Respiratory viral infections research (1 paper). The work is most often cited by research in Internal Medicine (107 citations), Complementary and alternative medicine (20 citations), Nephrology (17 citations), Infectious Diseases (31 citations) and Hematology (17 citations). Dingyi Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhenguo Zhai, Guohui Fan, Sinan Wu, Xin Liu, Chen Wang, Peiran B Yang, Zhu Zhang, Senwei Tang, Haoyi Weng and Ruoyan Chen. Their work appears in journals such as Frontiers in Cardiovascular Medicine, The Lancet Regional Health - Western Pacific, Thrombosis Journal, International Journal of Cardiology and Thrombosis and Haemostasis.

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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