Dingyi Wang

428 citations
24 papers · 111 · h-index 6

Impact in

Papers in

Dingyi Wang

20 papers receiving 108 citations

Peers

Dingyi Wang
Comparison fields: 5 of 48
  • Internal Medicine 37
  • Nephrology 13
  • Infectious Diseases 27
  • Epidemiology 47
  • Critical Care and Intensive Care Medicine 7
Replace Pyregov A.V. Pyregov with:
Pyregov A.V. Pyregov Russia
Adrian Doevelaar Germany
Doaa Attia Egypt
Kate Milne United Kingdom
Adriana Ribas Andrade Brazil
Floor Heubel-Moenen Netherlands
Parveen Bahel United States
Manon Lejeune France
Y. Mootien France
Jessica Harris United States
Dingyi Wang relative to Pyregov A.V. Pyregov Russia Pyregov A.V. Pyregov's profile →
Citations per field
00.5×4.7×
Pyregov A.V. Pyregov · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202331
2 202015
3 202114
4 202110
5 202210
6 20235
7 20243
8 20243
9 20233
10 20242
11 20232
12 20202
13 20242
14 20212
15 20222
16 20221
17 20231
18 20231
19 20251
20 20231

About Dingyi Wang

Dingyi Wang is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 111 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (13 papers), Pulmonary Hypertension Research and Treatments (4 papers), COVID-19 Clinical Research Studies (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Diagnosis and Treatment of Venous Diseases (3 papers), Acute Ischemic Stroke Management (2 papers), Central Venous Catheters and Hemodialysis (2 papers) and Acute Myocardial Infarction Research (2 papers). The work is most often cited by research in Internal Medicine (37 citations), Nephrology (13 citations), Infectious Diseases (27 citations), Epidemiology (47 citations) and Critical Care and Intensive Care Medicine (7 citations). Dingyi Wang has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Guohui Fan, Zhenguo Zhai, Sinan Wu, Xin Liu, Chen Wang, Peiran Yang, He Wang, Chao Deng, Guoyue Lv and Gang Chen. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Thrombosis Journal, BMJ Open, Insights into Imaging and Respiration.

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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