Haifeng Wu

145 total papers · 5.5k total citations
85 papers, 3.6k citations indexed

About

Haifeng Wu is a scholar working on Immunology, Hematology and Nephrology. According to data from OpenAlex, Haifeng Wu has authored 85 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Immunology, 22 papers in Hematology and 20 papers in Nephrology. Recurrent topics in Haifeng Wu's work include Complement system in diseases (33 papers), Renal Diseases and Glomerulopathies (18 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers). Haifeng Wu is often cited by papers focused on Complement system in diseases (33 papers), Renal Diseases and Glomerulopathies (18 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers). Haifeng Wu collaborates with scholars based in United States, China and United Kingdom. Haifeng Wu's co-authors include Spero R. Cataland, Ming Jin, Lee A. Hebert, Brad H. Rovin, Gyongyi Nadasdy, Tibor Nádasdy, Marie Scully, Shangbin Yang, Flora Peyvandi and Chengjiang Gao and has published in prestigious journals such as New England Journal of Medicine, Blood and Nature Immunology.

In The Last Decade

Haifeng Wu

83 papers receiving 3.5k citations

Hit Papers

Caplacizumab for Acquired... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Haifeng Wu 2.1k 1.1k 965 772 631 85 3.6k
Zoltán Lászik 1.0k 0.5× 469 0.4× 862 0.9× 995 1.3× 264 0.4× 87 3.9k
Hidechika Okada 1.7k 0.8× 355 0.3× 885 0.9× 988 1.3× 348 0.6× 142 3.7k
Blaž Rozman 1.5k 0.7× 312 0.3× 1.3k 1.3× 954 1.2× 372 0.6× 121 5.8k
Marc Bijl 3.4k 1.6× 514 0.5× 672 0.7× 885 1.1× 234 0.4× 154 6.7k
Sacha Zeerleder 1.8k 0.9× 228 0.2× 1.6k 1.7× 992 1.3× 931 1.5× 161 4.9k
Zbigniew M. Szczepiorkowski 1.4k 0.7× 283 0.3× 1.4k 1.5× 683 0.9× 767 1.2× 124 4.6k
Russell P. Rother 4.6k 2.2× 2.0k 1.9× 2.4k 2.4× 990 1.3× 2.0k 3.1× 72 7.8k
Anjali A. Satoskar 551 0.3× 1.2k 1.2× 285 0.3× 931 1.2× 161 0.3× 114 3.2k
Yaniv Sherer 2.4k 1.1× 250 0.2× 1.1k 1.1× 662 0.9× 274 0.4× 135 6.0k
Brian W. Grinnell 695 0.3× 465 0.4× 1.7k 1.8× 2.1k 2.7× 402 0.6× 93 5.6k

Countries citing papers authored by Haifeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haifeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Wu. A scholar is included among the top collaborators of Haifeng 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 Haifeng Wu. Haifeng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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