Haidi Wu
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Atrial Fibrillation Management and Outcomes 6
- Lipid metabolism and disorders 3
-
- Venous Thromboembolism Diagnosis and Management 6
- Co-authors
- Rongwen Bian (5 shared papers)Hongyan Cao (15 shared papers)Qinglin Lou (6 shared papers)Liting Zhou (5 shared papers)Shuo Yang (9 shared papers)Bai Xiao (1 shared paper)Dongmei Chen (1 shared paper)Shan Shan (1 shared paper)
- Journals
- Medicine (7 papers)BioMed Research International (2 papers)Diabetes and Vascular Disease Research (2 papers)BMC Cardiovascular Disorders (1 paper)British Journal Of Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haidi Wu
35 papers receiving 303 citations
Peers
Comparison fields: 5 of 71
- Nephrology 60
- Internal Medicine 22
- Pollution 29
- Health, Toxicology and Mutagenesis 26
- Cancer Research 25
Countries citing papers authored by Haidi Wu
This map shows the geographic impact of Haidi Wu'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 Haidi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haidi Wu more than expected).
Fields of papers citing papers by Haidi Wu
This network shows the impact of papers produced by Haidi Wu. 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 Haidi Wu. The network helps show where Haidi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haidi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2013 | 25 | |
| 3 | 2024 | 24 | |
| 4 | 2015 | 19 | |
| 5 | 2017 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2011 | 13 | |
| 8 | 2012 | 13 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 4 |
About Haidi Wu
Haidi Wu is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Hematology, having authored 38 papers that have together received 307 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (6 papers), Atrial Fibrillation Management and Outcomes (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipid metabolism and disorders (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Nutritional Studies and Diet (2 papers), Air Quality and Health Impacts (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Nephrology (60 citations), Internal Medicine (22 citations), Pollution (29 citations), Health, Toxicology and Mutagenesis (26 citations) and Cancer Research (25 citations). Haidi Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rongwen Bian, Hongyan Cao, Qinglin Lou, Liting Zhou, Shuo Yang, Bai Xiao, Dongmei Chen, Shan Shan, Guoliang Xu and Bing Du. Their work appears in journals such as Medicine, BioMed Research International, Diabetes and Vascular Disease Research, BMC Cardiovascular Disorders and British Journal Of Nutrition.
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.