Ping Fu

8.8k total citations · 2 hit papers
240 papers, 5.1k citations indexed

About

Ping Fu is a scholar working on Nephrology, Molecular Biology and Surgery. According to data from OpenAlex, Ping Fu has authored 240 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Nephrology, 67 papers in Molecular Biology and 54 papers in Surgery. Recurrent topics in Ping Fu's work include Acute Kidney Injury Research (31 papers), Dialysis and Renal Disease Management (26 papers) and Central Venous Catheters and Hemodialysis (22 papers). Ping Fu is often cited by papers focused on Acute Kidney Injury Research (31 papers), Dialysis and Renal Disease Management (26 papers) and Central Venous Catheters and Hemodialysis (22 papers). Ping Fu collaborates with scholars based in China, United States and Australia. Ping Fu's co-authors include Liang Ma, Rongshuang Huang, Ling Zhang, Fan Guo, Leon A. Bach, Xiaoxi Zeng, Sibei Tao, Lingzhi Li, Robert C. Atkins and Wei Mu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ping Fu

226 papers receiving 5.1k citations

Hit Papers

Kidney fibrosis: from mechanisms to therapeutic medicines 2023 2026 2024 2025 2023 2024 100 200 300

Peers

Ping Fu
Comparison fields: 5 of 161
  • Nephrology 1.8k
  • Molecular Biology 1.5k
  • Surgery 782
  • Epidemiology 606
  • Pulmonary and Respiratory Medicine 543
Replace Zhaohui Ni with:
Zhaohui Ni China
Toshiki Moriyama Japan
Yong‐Soo Kim South Korea
Ping Fu China
Joachim Jankowski Germany
Thao Nguyen‐Khoa France
Anna Köttgen Germany
Gang Xu China
Curie Ahn South Korea
Tomáš Zima Czechia
Zhaohui Ni China View profile →
Citations per field, relative to Ping Fu
Ping Fu · 1×
Citations per year, relative to Ping Fu
Ping Fu · 1×

Countries citing papers authored by Ping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Fu. A scholar is included among the top collaborators of Ping Fu 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 Ping Fu. Ping Fu 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
# Work Indexed citations
1 1
2 0
3 1
4 5
5 1
6 1
7 2
8 12
9 24
10 42
11 5
12 1
13 54
14 12
15 12
16 46
17 6
18 55
19 7
20
Shenling Granule for Lower Urinary Tract Infection (Damp-heat in Lower-JIAO): A Randomized Controlled Trial
2

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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