Feng Wan

1.4k citations
61 papers · 1.0k indexed · h-index 17

Impact in

Papers in

Feng Wan

57 papers receiving 1.0k citations

Peers

Feng Wan
Comparison fields: 5 of 110
  • Cancer Research 173
  • Nephrology 65
  • Pharmaceutical Science 55
  • Molecular Biology 489
  • Immunology 141
Replace Limin Xu with:
Limin Xu China
Zhe Meng China
Haiyan You China
Marcia A. Wheeler United States
Nagavedi S. Umapathy United States
So Young Jung South Korea
Johan Raud Sweden
Kosuke Endo Japan
Xingxing Zhu China
Feng Wan relative to Limin Xu China Limin Xu's profile →
Citations per field
00.5×2.7×
Limin Xu · 1×
Citations per year

Countries citing papers authored by Feng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20250
5 20241
6 20232
7 20231
8 202312
9 20215
10 202130
11 202016
12 202028
13 201814
14 201616
15 201617
16 201634
17 2013118
18
Identification of Differential Expressed Proteins Responding to Phosphorus Starvation Based on Proteomic Analysis in Roots of Wheat(Triticum aestivum L.)
20122
19 20054
20 19921

About Feng Wan

Feng Wan is a scholar working on Nephrology, Health Informatics, Complementary and alternative medicine, Neurology and Endocrine and Autonomic Systems, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Calpain Protease Function and Regulation (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Natural Compounds in Disease Treatment (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Pulmonary Hypertension Research and Treatments (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (173 citations), Nephrology (65 citations), Pharmaceutical Science (55 citations), Molecular Biology (489 citations) and Immunology (141 citations). Feng Wan has collaborated with scholars based in China, France and Macao. Frequent co-authors include Serge Adnot, Jian-zhong Shao, Li‐xin Xiang, Shariq Abid, Amal Houssaïni, Élisabeth Marcos, Valérie Amsellem, Jean‐Luc Dubois‐Randé, Nathalie Mouraret and Dominique Rideau. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Scientific Reports, Experimental Biology and Medicine, Biomedicine & Pharmacotherapy and Drug Design Development and Therapy.

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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