Fan Meng

14.8k citations
82 papers · 5.0k indexed · 2 hit papers · h-index 34

Impact in

Papers in

Fan Meng

79 papers receiving 4.9k citations

Hit Papers

Reversing a model of Parkinson’s disease with in situ converted nigral neurons 2020 · 344 citations
3441994202620042015200400600

Peers

Fan Meng
Comparison fields: 5 of 175
  • Biological Psychiatry 348
  • Cellular and Molecular Neuroscience 2.2k
  • Behavioral Neuroscience 358
  • Endocrine and Autonomic Systems 509
  • Developmental Neuroscience 270
Replace Gerard J.M. Martens with:
Gerard J.M. Martens Netherlands
Kwang‐Soo Kim United States
Yu Zhou China
Philippe Marin France
Qing‐Rong Liu United States
Jurgen Del‐Favero Belgium
Wolfgang Schmid Germany
Adam J. Shaywitz United States
Fan Meng relative to Gerard J.M. Martens Netherlands Gerard J.M. Martens's profile →
Citations per field
00.5×1.6×
Gerard J.M. Martens · 1×
Citations per year

Countries citing papers authored by Fan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20214
4
Reversing a model of Parkinson’s disease with in situ converted nigral neurons
Hit paper breakdown →
2020344
5 201721
6 201722
7 201655
8 201524
9 201365
10 20133
11 201137
12 2010107
13 201014
14 200613
15 200510
16 2004315
17 200014
18 199835
19 1995109
20 1994136

About Fan Meng

Fan Meng is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Biological Psychiatry, Molecular Biology and Behavioral Neuroscience, having authored 82 papers that have together received 5.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (22 papers), Neuropeptides and Animal Physiology (18 papers), Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (13 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Chemical Synthesis and Analysis (7 papers), Biomedical Text Mining and Ontologies (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Biological Psychiatry (348 citations), Cellular and Molecular Neuroscience (2.2k citations), Behavioral Neuroscience (358 citations), Endocrine and Autonomic Systems (509 citations) and Developmental Neuroscience (270 citations). Fan Meng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Huda Akil, Stanley J. Watson, Robert C. Thompson, Alfred Mansour, Charles A. Fox, Sharon Burke, Edward G. Jones, William E. Bunney, Simon J. Evans and R Myers. Their work appears in journals such as Bioinformatics, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biological Psychiatry and BMC Genomics.

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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