Songhai Chen
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Nicotinic Acetylcholine Receptors Study
- Ion channel regulation and function
Papers in ⓘ
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- Cell Adhesion Molecules Research 7
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- Neuropeptides and Animal Physiology 6
- Co-authors
- Fang Lin (18 shared papers)Heidi E. Hamm (8 shared papers)Robert M. Graham (8 shared papers)Sue-min Chang (1 shared paper)Zhizeng Sun (6 shared papers)Xiaoyun Tang (5 shared papers)Jun Ding (1 shared paper)Philip J. Ebert (1 shared paper)
- Journals
- Journal of Biological Chemistry (9 papers)The Journal of Cell Biology (3 papers)Molecular and Cellular Biology (3 papers)Cancers (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Songhai Chen
48 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 141
- Cellular and Molecular Neuroscience 378
- Molecular Biology 1.1k
- Immunology and Allergy 97
- Cell Biology 256
- Cancer Research 95
Countries citing papers authored by Songhai Chen
This map shows the geographic impact of Songhai Chen'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 Songhai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songhai Chen more than expected).
Fields of papers citing papers by Songhai Chen
This network shows the impact of papers produced by Songhai Chen. 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 Songhai Chen. The network helps show where Songhai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Songhai Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 199 | |
| 2 | 2006 | 145 | |
| 3 | 2001 | 109 | |
| 4 | 2007 | 108 | |
| 5 | 1996 | 91 | |
| 6 | 2005 | 88 | |
| 7 | 2002 | 76 | |
| 8 | 2004 | 61 | |
| 9 | 2017 | 54 | |
| 10 | 2009 | 54 | |
| 11 | 2004 | 53 | |
| 12 | 2003 | 50 | |
| 13 | 2008 | 48 | |
| 14 | 2016 | 47 | |
| 15 | 2019 | 43 | |
| 16 | 1999 | 42 | |
| 17 | 2011 | 40 | |
| 18 | 2014 | 37 | |
| 19 | 2005 | 35 | |
| 20 | 2006 | 34 |
About Songhai Chen
Songhai Chen is a scholar working on Immunology and Allergy, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Oncology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Receptor Mechanisms and Signaling (10 papers), Cell Adhesion Molecules Research (7 papers), Neuropeptides and Animal Physiology (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer Cells and Metastasis (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (378 citations), Molecular Biology (1.1k citations), Immunology and Allergy (97 citations), Cell Biology (256 citations) and Cancer Research (95 citations). Songhai Chen has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Fang Lin, Heidi E. Hamm, Robert M. Graham, Sue-min Chang, Zhizeng Sun, Xiaoyun Tang, Jun Ding, Philip J. Ebert, Joshua A. Goldberg and Jaime N. Guzmán. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Molecular and Cellular Biology, Cancers and Oncotarget.
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.