Fan Mo
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
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- RNA Research and Splicing 6
- RNA modifications and cancer 4
- vaccines and immunoinformatics approaches 4
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- Cancer Genomics and Diagnostics 5
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Colin C. Collins (11 shared papers)Martin Gleave (9 shared papers)Alexander W. Wyatt (8 shared papers)Yuzhuo Wang (7 shared papers)Brian McConeghy (3 shared papers)Stanislav Volik (3 shared papers)Kevin Beja (2 shared papers)Matti Annala (3 shared papers)
- Journals
- PLoS ONE (3 papers)Clinical Cancer Research (2 papers)Scientific Reports (2 papers)Frontiers in Immunology (2 papers)Oncotarget (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Fan Mo
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 521
- Pulmonary and Respiratory Medicine 598
- Oncology 320
- Molecular Biology 667
- Immunology 150
Countries citing papers authored by Fan Mo
This map shows the geographic impact of Fan 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 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 Mo more than expected).
Fields of papers citing papers by Fan Mo
This network shows the impact of papers produced by Fan 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 Mo. The network helps show where Fan Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan 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 | 2016 | 266 | |
| 2 | 2019 | 158 | |
| 3 | 2016 | 127 | |
| 4 | 2015 | 105 | |
| 5 | 2017 | 88 | |
| 6 | 2011 | 86 | |
| 7 | 2021 | 54 | |
| 8 | 2017 | 52 | |
| 9 | 2018 | 52 | |
| 10 | 2018 | 48 | |
| 11 | 2012 | 40 | |
| 12 | 2021 | 35 | |
| 13 | 2013 | 34 | |
| 14 | 2015 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2017 | 19 | |
| 18 | 2017 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2009 | 15 |
About Fan Mo
Fan Mo is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Oncology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Immunotherapy and Immune Responses (7 papers), RNA Research and Splicing (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers), vaccines and immunoinformatics approaches (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (521 citations), Pulmonary and Respiratory Medicine (598 citations), Oncology (320 citations), Molecular Biology (667 citations) and Immunology (150 citations). Fan Mo has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Colin C. Collins, Martin Gleave, Alexander W. Wyatt, Yuzhuo Wang, Brian McConeghy, Stanislav Volik, Kevin Beja, Matti Annala, Evan W. Warner and Robert Shukin. Their work appears in journals such as PLoS ONE, Clinical Cancer Research, Scientific Reports, Frontiers in Immunology 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.