Dahai Yu

3.8k citations
142 papers · 2.5k · h-index 29

Impact in

Papers in

Dahai Yu

134 papers receiving 2.5k citations

Peers

Dahai Yu
Comparison fields: 5 of 147
  • Endocrinology, Diabetes and Metabolism 551
  • Nephrology 155
  • Rheumatology 266
  • Cardiology and Cardiovascular Medicine 389
  • Pharmacology 239
Replace Apostolos Hatzitolios with:
Apostolos Hatzitolios Greece
LieLing Wu United States
Jan Brox Norway
Zhijie Yu China
Constance E. Ruhl United States
Margaretha Persson Sweden
Yangang Wang China
Rui Jiang China
Claire Bonithon‐Kopp France
Jean‐Bernard Ruidavets France
Dahai Yu relative to Apostolos Hatzitolios Greece Apostolos Hatzitolios's profile →
Citations per field
00.5×1.5×2.5×
Apostolos Hatzitolios · 1×
Citations per year

Countries citing papers authored by Dahai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dahai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 201296
3 200888
4 200682
5 200870
6 201265
7 201764
8 201763
9 201561
10 201960
11 201857
12 201954
13 200853
14 201353
15 200750
16 202148
17 202047
18 200847
19 200945
20 201444

About Dahai Yu

Dahai Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology, Surgery and Nephrology, having authored 142 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Chronic Disease Management Strategies (14 papers), Dialysis and Renal Disease Management (13 papers), Musculoskeletal pain and rehabilitation (12 papers), Diabetes Management and Education (12 papers), Osteoarthritis Treatment and Mechanisms (12 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (551 citations), Nephrology (155 citations), Rheumatology (266 citations), Cardiology and Cardiovascular Medicine (389 citations) and Pharmacology (239 citations). Dahai Yu has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include David Simmons, George Peat, Zhanzheng Zhao, Dongsheng Hu, Rui Qin, Yamei Cai, Kelvin P. Jordan, Dongfeng Gu, Aleksandra Turkiewicz and Ziwei Zhang. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetic Medicine, Lara D. Veeken, Kidney & Blood Pressure Research and Arthritis Care & Research.

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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