Panfeng Fu

70 papers receiving 2.5k citations

Peers

Panfeng Fu
Comparison fields: 5 of 126
  • Cell Biology 437
  • Biochemistry 180
  • Immunology and Allergy 150
  • Molecular Biology 1.6k
  • Immunology 405
Replace Viktor Brovkovych with:
Viktor Brovkovych United States
Carolyn E. Patterson United States
Jaideep Moitra United States
Jan Menne Germany
Alistair J. Ingram Canada
Beate K. Straub Germany
David W. Essex United States
Naomi Sakashita Japan
Youichiro Wada Japan
Sankar Addya United States
Panfeng Fu relative to Viktor Brovkovych United States Viktor Brovkovych's profile →
Citations per field
00.5×11×
Viktor Brovkovych · 1×
Citations per year

Countries citing papers authored by Panfeng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Panfeng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007237
2 2010104
3 2009100
4 201090
5 202084
6 201382
7 201379
8 201475
9 202370
10 200869
11 200969
12 200967
13 202066
14 200665
15 200863
16 201059
17 201657
18 201656
19 201055
20 200754

About Panfeng Fu

Panfeng Fu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Cell Biology and Immunology, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (24 papers), Neonatal Respiratory Health Research (9 papers), Nitric Oxide and Endothelin Effects (7 papers), Respiratory Support and Mechanisms (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Caveolin-1 and cellular processes (6 papers) and ATP Synthase and ATPases Research (4 papers). The work is most often cited by research in Cell Biology (437 citations), Biochemistry (180 citations), Immunology and Allergy (150 citations), Molecular Biology (1.6k citations) and Immunology (405 citations). Panfeng Fu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Konstantin G. Birukov, Anna A. Birukova, Viswanathan Natarajan, Junjie Xing, David L. Ebenezer, Joe G. N. Garcia, Anantha Harijith, Jeffrey R. Jacobson, Chuan Xiang and Ivan Cokic. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, The FASEB Journal, Journal of Cellular Physiology, Journal of Biological Chemistry and Translational 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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