Mo Chen
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
Papers in
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- Congenital heart defects research 4
- TGF-β signaling in diseases 3
- Epidemiology 10
- Herpesvirus Infections and Treatments 4
- Co-authors
- Yukio Kato (15 shared papers)Takako Katō (15 shared papers)Saishu Yoshida (14 shared papers)Masashi Higuchi (12 shared papers)Hiroki Ueharu (11 shared papers)Naoko Kanno (9 shared papers)Hideji Yako (8 shared papers)Yu-Mei Dai (2 shared papers)
- Journals
- Cell and Tissue Research (10 papers)Journal of Reproduction and Development (4 papers)Journal of Biological Chemistry (2 papers)Virology (2 papers)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Mo Chen
40 papers receiving 686 citations
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 24
- Endocrinology, Diabetes and Metabolism 123
- Immunology 148
- Cancer Research 97
- Genetics 57
Countries citing papers authored by Mo Chen
This map shows the geographic impact of Mo 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 Mo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Chen more than expected).
Fields of papers citing papers by Mo Chen
This network shows the impact of papers produced by Mo 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 Mo Chen. The network helps show where Mo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 53 | |
| 2 | 2013 | 46 | |
| 3 | 2018 | 46 | |
| 4 | 2016 | 41 | |
| 5 | 2014 | 38 | |
| 6 | 2018 | 32 | |
| 7 | 2007 | 31 | |
| 8 | 2008 | 31 | |
| 9 | 2014 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2012 | 25 | |
| 12 | 2023 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2013 | 21 | |
| 16 | 2014 | 17 | |
| 17 | 2013 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2013 | 16 |
About Mo Chen
Mo Chen is a scholar working on Molecular Biology, Epidemiology, Oncology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 695 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer Cells and Metastasis (4 papers), Congenital heart defects research (4 papers), Herpesvirus Infections and Treatments (4 papers), Virus-based gene therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Endocrinology, Diabetes and Metabolism (123 citations), Immunology (148 citations), Cancer Research (97 citations) and Genetics (57 citations). Mo Chen has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yukio Kato, Takako Katō, Saishu Yoshida, Masashi Higuchi, Hiroki Ueharu, Naoko Kanno, Hideji Yako, Yu-Mei Dai, Lianxian Cui and Yongxin Luan. Their work appears in journals such as Cell and Tissue Research, Journal of Reproduction and Development, Journal of Biological Chemistry, Virology and Journal of Agricultural and Food Chemistry.
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.