Fen Sun

1.2k citations
31 papers · 949 · h-index 15

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Vagus Nerve Stimulation Research
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Fen Sun

29 papers receiving 945 citations

Peers

Fen Sun
Comparison fields: 5 of 93
  • Neurology 399
  • Developmental Neuroscience 186
  • Cellular and Molecular Neuroscience 194
  • Biological Psychiatry 20
  • Cancer Research 97
Replace Raghu Vemuganti with:
Raghu Vemuganti United States
Britta Kaltwasser Germany
Małgorzata Ziemka‐Nałęcz Poland
George Trendelenburg Germany
Masataka Katsu Japan
Paraskevi N. Koutsoudaki Greece
Eunhee Kim United States
Kudret Türeyen Türkiye
Young‐Mi Yu United States
Jacqueline A. Bonds United States
Fen Sun relative to Raghu Vemuganti United States Raghu Vemuganti's profile →
Citations per field
00.5×1.5×
Raghu Vemuganti · 1×
Citations per year

Countries citing papers authored by Fen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 2014133
3 201497
4 201273
5 201257
6 201352
7 201348
8 201340
9 201037
10 201436
11 201333
12 201629
13 201722
14 201719
15 201717
16 201614
17 201714
18 201214
19 202313
20 201613

About Fen Sun

Fen Sun is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Surgery, having authored 31 papers that have together received 949 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Pancreatic function and diabetes (4 papers), Nutritional Studies and Diet (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Diet and metabolism studies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Neurology (399 citations), Developmental Neuroscience (186 citations), Cellular and Molecular Neuroscience (194 citations), Biological Psychiatry (20 citations) and Cancer Research (97 citations). Fen Sun has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Kunlin Jin, Lin Xie, David A. Greenberg, XiaoOu Mao, Victor V. Uteshev, Shao‐Hua Yang, Xiaomei Wang, Bei Shao, Zhe Wu and Qichuan Zhuge. Their work appears in journals such as PLoS ONE, Cell Proliferation, Biochemical and Biophysical Research Communications, The FASEB Journal and Scientific Reports.

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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