Fei She

702 citations
38 papers · 511 · h-index 12

Impact in

Papers in

Fei She

37 papers receiving 500 citations

Peers

Fei She
Comparison fields: 5 of 98
  • Internal Medicine 27
  • Cardiology and Cardiovascular Medicine 149
  • Endocrine and Autonomic Systems 16
  • Cancer Research 34
  • Epidemiology 70
Replace Paulette S Wehner with:
Paulette S Wehner United States
Maria Prastaro Italy
Kenneth F. Buechler United States
Jean-Pierre Bertinchant France
Durgaprasad Rajasekhar India
Selcuk Cemil Ozturk Türkiye
Pengyang Li China
Weiqi Chen China
Ting‐Wei Lin Taiwan
Charles Y. Lui United States
Fei She relative to Paulette S Wehner United States Paulette S Wehner's profile →
Citations per field
00.5×2×3×4.5×
Paulette S Wehner · 1×
Citations per year

Countries citing papers authored by Fei She

Since Specialization
Citations

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

Fields of papers citing papers by Fei She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 202166
3 201639
4 202038
5 201322
6 201822
7 201322
8 202217
9
Calcitonin gene-related peptide gene therapy suppresses reactive oxygen species in the pancreas and prevents mice from autoimmune diabetes.
200315
10 202215
11 201415
12 201613
13 201411
14 202011
15
[Hsa-miR-654-5p regulates osteogenic differentiation of human bone marrow mesenchymal stem cells by repressing bone morphogenetic protein 2].
201210
16 20188
17 20137
18 20137
19 20257
20 20216

About Fei She

Fei She is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Water Science and Technology, Complementary and alternative medicine and Control and Systems Engineering, having authored 38 papers that have together received 511 indexed citations. Recurring topics across this work include Muscle and Compartmental Disorders (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Electrolyte and hormonal disorders (2 papers), Membrane Separation and Gas Transport (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Membrane Separation Technologies (2 papers). The work is most often cited by research in Internal Medicine (27 citations), Cardiology and Cardiovascular Medicine (149 citations), Endocrine and Autonomic Systems (16 citations), Cancer Research (34 citations) and Epidemiology (70 citations). Fei She has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shuangqing Liu, Xiaodong Zhao, Hua Chen, Xinkun Wang, Hongsheng Liu, Wei Zhang, Peifu Tang, Yong-ming Yao, Xinran Ji and Yuan Gao. Their work appears in journals such as BMC Cardiovascular Disorders, Frontiers in Cardiovascular Medicine, Heart Rhythm, Journal of Food Science and Heart & Lung.

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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