Fenghui Pan

838 citations
19 papers · 701 · h-index 11

Impact in

Papers in

Fenghui Pan

18 papers receiving 684 citations

Peers

Fenghui Pan
Comparison fields: 5 of 91
  • Developmental Neuroscience 45
  • Cellular and Molecular Neuroscience 121
  • Molecular Biology 428
  • Biological Psychiatry 14
  • Endocrinology, Diabetes and Metabolism 53
Replace Magdalena Dragan with:
Magdalena Dragan Canada
Mei Xu China
Rômulo Sperduto Dezonne Brazil
Jessie Gu United States
Shabeesh Balan Japan
Masatoyo Nishizawa Japan
Thilo Kaehne Germany
Gabriel Linares United States
Toni Paladino Canada
Fenghui Pan relative to Magdalena Dragan Canada Magdalena Dragan's profile →
Citations per field
00.5×3.1×
Magdalena Dragan · 1×
Citations per year

Countries citing papers authored by Fenghui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Fenghui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011270
2 2010177
3 200633
4 201329
5 201826
6 200626
7 201025
8 201724
9 201624
10 201322
11 201810
12 20229
13 20209
14 20186
15 20194
16 20203
17 20213
18 20241
19 20250

About Fenghui Pan

Fenghui Pan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 19 papers that have together received 701 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (2 papers), Thyroid Disorders and Treatments (2 papers), Adipose Tissue and Metabolism (2 papers), Bone Metabolism and Diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ion Transport and Channel Regulation (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (45 citations), Cellular and Molecular Neuroscience (121 citations), Molecular Biology (428 citations), Biological Psychiatry (14 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Fenghui Pan has collaborated with scholars based in China and United States. Frequent co-authors include Chenbo Zeng, Robert H. Mach, Gary E. Wise, Shaomian Yao, Miranda M. Lim, Elizabeth Griffin, David M. Holtzman, Yvette I. Sheline, Mark A. Mintun and Lynne A. Jones. Their work appears in journals such as Archives of Oral Biology, Frontiers in Endocrinology, Biochemical and Biophysical Research Communications, Nature Communications and Andrology.

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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