Fan‐E Mo
Impact in
- Molecular Biology top 10%
- Connective Tissue Growth Factor Research
- TGF-β signaling in diseases
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Connective Tissue Growth Factor Research 10
- TGF-β signaling in diseases 2
- Medicinal Plants and Bioactive Compounds 2
-
- Biomarkers in Disease Mechanisms 3
- 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 Beer 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)Journal of Neuroinflammation (1 paper)Molecular Nutrition & Food Research (1 paper)Cellular Physiology and Biochemistry (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Fan‐E Mo
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.0k
- Immunology and Allergy 51
- Immunology 181
- Biological Psychiatry 20
- Neurology 59
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 361 | |
| 2 | 1996 | 312 | |
| 3 | 2001 | 261 | |
| 4 | 2020 | 127 | |
| 5 | 2006 | 99 | |
| 6 | 2019 | 63 | |
| 7 | 2001 | 54 | |
| 8 | 2018 | 27 | |
| 9 | 2011 | 22 | |
| 10 | 2013 | 22 | |
| 11 | 2014 | 22 | |
| 12 | 2019 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2021 | 10 | |
| 15 | 2013 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 1991 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Fan‐E Mo
Fan‐E Mo is a scholar working on Molecular Biology, Immunology, Pharmacology, Cardiology and Cardiovascular Medicine and Urology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (10 papers), Biomarkers in Disease Mechanisms (3 papers), TGF-β signaling in diseases (2 papers), Sesame and Sesamin Research (2 papers), Connective tissue disorders research (2 papers), Fungal Biology and Applications (2 papers), Medicinal Plants and Bioactive Compounds (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Immunology and Allergy (51 citations), Immunology (181 citations), Biological Psychiatry (20 citations) and Neurology (59 citations). Fan‐E Mo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Lester F. Lau, Chih-Chiun Chen, Maria L. Kireeva, George P. Yang, Andrew G. Muntean, Simon C. Watkins, Donna Beer Stolz, Pei‐Ling Hsu, Shih-Ying Wu and Bu‐Miin Huang. Their work appears in journals such as Journal of Cell Communication and Signaling, Molecular and Cellular Biology, Journal of Neuroinflammation, Molecular Nutrition & Food Research and Cellular Physiology and Biochemistry.
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.