Haiying Wu

1.1k citations
63 papers · 762 indexed · h-index 15
Topics
Vasculitis and related conditions (13 papers)Cerebrovascular and Carotid Artery Diseases (9 papers)Renal and Vascular Pathologies (9 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismHypertension

In The Last Decade

Haiying Wu

61 papers receiving 749 citations

Peers

Haiying Wu
Comparison fields: 5 of 92
  • Pulmonary and Respiratory Medicine 389
  • Cardiology and Cardiovascular Medicine 257
  • Surgery 251
  • Nephrology 105
  • Endocrinology, Diabetes and Metabolism 82
Replace Huimin Zhang with:
Huimin Zhang China
Ashish Patel United States
Ming Xia China
Fernando L. Martín United States
Yoko Horibata Japan
Toshie Saito United States
Asife Şahinarslan Türkiye
Martin Egfjord Denmark
Ying‐Hwa Chen Taiwan
Hüseyin Altuğ Çakmak Türkiye
Haiying Wu relative to Huimin Zhang China Huimin Zhang's profile →
Citations per field
00.5×1.5×2.3×
Huimin Zhang · 1×
Citations per year

Countries citing papers authored by Haiying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Wu. A scholar is included among the top collaborators of Haiying Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiying Wu. Haiying Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 8
3 4
4 2
5 1
6 4
7 7
8 37
9 23
10 5
11 4
12 28
13 9
14 17
15 7
16 34
17 13
18 80
19 38
20 6

About Haiying Wu

Haiying Wu is a scholar working on Pulmonary and Respiratory Medicine, Nephrology and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 762 indexed citations. Recurring topics across this work include Vasculitis and related conditions (13 papers), Cerebrovascular and Carotid Artery Diseases (9 papers) and Renal and Vascular Pathologies (9 papers). The work is most often cited by research in Nephrology (105 citations), Pulmonary and Respiratory Medicine (389 citations) and Cardiology and Cardiovascular Medicine (257 citations). Haiying Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huimin Zhang, Rutai Hui, Yubao Zou, Xiongjing Jiang, Lirui Yang, Xianliang Zhou, Kai Sun, Lei Song, Jin‐Song Bian and Deyu Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Hypertension.

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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