Yan Mo
Impact in
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- Water Treatment and Disinfection
- Effects and risks of endocrine disrupting chemicals
- Environmental Toxicology and Ecotoxicology
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Water Treatment and Disinfection 6
- Effects and risks of endocrine disrupting chemicals 2
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- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Xiao Wei (6 shared papers)Huan Chun Wu (6 shared papers)Chencui Huang (6 shared papers)Ying Xia (4 shared papers)Qiyuan Yang (3 shared papers)Yujie Sha (4 shared papers)Weiwei Zheng (3 shared papers)Xiaona Xia (1 shared paper)
- Journals
- Environmental Science & Technology (2 papers)Journal of Educational Evaluation for Health Professions (1 paper)BMC Cancer (1 paper)British Journal of Radiology (1 paper)Cell Biochemistry and Biophysics (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yan Mo
27 papers receiving 354 citations
Peers
Comparison fields: 5 of 69
- Health, Toxicology and Mutagenesis 111
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 90
- Reproductive Medicine 10
- Dermatology 7
Countries citing papers authored by Yan Mo
This map shows the geographic impact of Yan 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 Yan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Mo more than expected).
Fields of papers citing papers by Yan Mo
This network shows the impact of papers produced by Yan 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 Yan Mo. The network helps show where Yan Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 41 | |
| 2 | 2018 | 40 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2023 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2017 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 4 |
About Yan Mo
Yan Mo is a scholar working on Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Experimental and Cognitive Psychology, having authored 29 papers that have together received 357 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Water Treatment and Disinfection (6 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Prostate Cancer Treatment and Research (2 papers), Face Recognition and Perception (1 paper), Dementia and Cognitive Impairment Research (1 paper), Translation Studies and Practices (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (111 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Reproductive Medicine (10 citations) and Dermatology (7 citations). Yan Mo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiao Wei, Huan Chun Wu, Chencui Huang, Ying Xia, Qiyuan Yang, Yujie Sha, Weiwei Zheng, Qiyuan Yang, Xiaona Xia and Mengting Yang. Their work appears in journals such as Environmental Science & Technology, Journal of Educational Evaluation for Health Professions, BMC Cancer, British Journal of Radiology and Cell Biochemistry and Biophysics.
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.