Fan‐E Mo
Impact in
- Molecular Biology top 10%
- Connective Tissue Growth Factor Research
- TGF-β signaling in diseases
-
- Biomarkers in Disease Mechanisms
Papers in ⓘ
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- Biomarkers in Disease Mechanisms 5
- Co-authors
- Lester F. Lau (5 shared papers)Chih-Chiun Chen (2 shared papers)Maria L. Kireeva (1 shared paper)George P. Yang (1 shared paper)Andrew G. Muntean (1 shared paper)Simon C. Watkins (1 shared paper)Donna B. Stolz (1 shared paper)Pei‐Ling Hsu (6 shared papers)
- Journals
- Journal of Cell Communication and Signaling (2 papers)Molecular and Cellular Biology (2 papers)Endocrinology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Circulation Research (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Fan‐E Mo
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.0k
- Immunology 212
- Biological Psychiatry 22
- Immunology and Allergy 49
- Neurology 63
Countries citing papers authored by Fan‐E Mo
This map shows the geographic impact of Fan‐E Mo'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‐E Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan‐E Mo more than expected).
Fields of papers citing papers by Fan‐E Mo
This network shows the impact of papers produced by Fan‐E Mo. 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‐E Mo. The network helps show where Fan‐E Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan‐E Mo, 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 | 2002 | 347 | |
| 2 | 1996 | 302 | |
| 3 | 2001 | 255 | |
| 4 | 2020 | 113 | |
| 5 | 2006 | 95 | |
| 6 | 2019 | 55 | |
| 7 | 2001 | 54 | |
| 8 | 2018 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2011 | 21 | |
| 11 | 2014 | 21 | |
| 12 | 2019 | 16 | |
| 13 | 2013 | 16 | |
| 14 | 2013 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 1991 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Fan‐E Mo
Fan‐E Mo is a scholar working on Immunology, Developmental Neuroscience, Molecular Biology, Immunology and Allergy and Urology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (10 papers), Biomarkers in Disease Mechanisms (5 papers), TGF-β signaling in diseases (2 papers), Connective tissue disorders research (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Medicinal Plants and Bioactive Compounds (2 papers), Fungal Biology and Applications (2 papers) and Sesame and Sesamin Research (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Immunology (212 citations), Biological Psychiatry (22 citations), Immunology and Allergy (49 citations) and Neurology (63 citations). Fan‐E Mo has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Lester F. Lau, Chih-Chiun Chen, Maria L. Kireeva, George P. Yang, Andrew G. Muntean, Simon C. Watkins, Donna B. Stolz, Pei‐Ling Hsu, Yu‐Min Kuo and Bu‐Miin Huang. Their work appears in journals such as Journal of Cell Communication and Signaling, Molecular and Cellular Biology, Endocrinology, Frontiers in Cell and Developmental Biology and Circulation Research.
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.