Fan Meng
Impact in
- Biological Psychiatry top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
-
- Neuropeptides and Animal Physiology 18
- Co-authors
- Huda AkilStanley J. WatsonRobert C. ThompsonAlfred MansourCharles A. FoxSharon BurkeEdward G. JonesWilliam E. Bunney
- Journals
- Bioinformatics (7 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of Biological Chemistry (5 papers)Biological Psychiatry (3 papers)BMC Genomics (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Fan Meng
79 papers receiving 4.9k citations
Hit Papers
Peers
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
Countries citing papers authored by Fan Meng
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 4 | |
| 4 | Reversing a model of Parkinson’s disease with in situ converted nigral neurons Hit paper breakdown → | 2020 | 344 |
| 5 | 2017 | 21 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 55 | |
| 8 | 2015 | 24 | |
| 9 | 2013 | 65 | |
| 10 | 2013 | 3 | |
| 11 | 2011 | 37 | |
| 12 | 2010 | 107 | |
| 13 | 2010 | 14 | |
| 14 | 2006 | 13 | |
| 15 | 2005 | 10 | |
| 16 | 2004 | 315 | |
| 17 | 2000 | 14 | |
| 18 | 1998 | 35 | |
| 19 | 1995 | 109 | |
| 20 | 1994 | 136 |
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.