Brian M. Bot
Impact in
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Screening and Detection
- Health Informatics top 5%
Papers in
- Oncology 11
- Colorectal Cancer Treatments and Studies 4
- Colorectal Cancer Surgical Treatments 3
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- Renal and related cancers 3
- Co-authors
- Daniel J. Sargent (13 shared papers)Stephen Friend (7 shared papers)Megan Doerr (6 shared papers)Christine Suver (6 shared papers)Justin Guinney (7 shared papers)Andrew D. Trister (5 shared papers)John Wilbanks (4 shared papers)Rodrigo Dienstmann (3 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Scientific Data (5 papers)PLoS ONE (3 papers)Journal of Thoracic Oncology (2 papers)npj Digital Medicine (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Brian M. Bot
50 papers receiving 2.6k citations
Brian M. Bot's Hit Papers
Peers
Comparison fields: 5 of 159
- Oncology 711
- Health Informatics 29
- Cancer Research 267
- Pathology and Forensic Medicine 299
- Applied Psychology 86
Countries citing papers authored by Brian M. Bot
This map shows the geographic impact of Brian M. Bot'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 Brian M. Bot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Bot more than expected).
Fields of papers citing papers by Brian M. Bot
This network shows the impact of papers produced by Brian M. Bot. 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 Brian M. Bot. The network helps show where Brian M. Bot may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian M. Bot, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The mPower study, Parkinson disease mobile data collected using ResearchKit Hit paper breakdown → | 2016 | 451 |
| 2 | 2014 | 258 | |
| 3 | 2017 | 176 | |
| 4 | 2009 | 141 | |
| 5 | 2013 | 136 | |
| 6 | 2011 | 123 | |
| 7 | 2015 | 93 | |
| 8 | 2011 | 83 | |
| 9 | 2016 | 81 | |
| 10 | 2016 | 72 | |
| 11 | 2016 | 68 | |
| 12 | 2009 | 60 | |
| 13 | 2011 | 60 | |
| 14 | 2013 | 55 | |
| 15 | 2015 | 55 | |
| 16 | 2017 | 54 | |
| 17 | 2017 | 52 | |
| 18 | 2019 | 52 | |
| 19 | 2014 | 51 | |
| 20 | 2019 | 50 |
About Brian M. Bot
Brian M. Bot is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Statistics and Probability and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 2.7k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Statistical Methods in Clinical Trials (4 papers), Mobile Health and mHealth Applications (3 papers), Renal and related cancers (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), Ethics in Clinical Research (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Oncology (711 citations), Health Informatics (29 citations), Cancer Research (267 citations), Pathology and Forensic Medicine (299 citations) and Applied Psychology (86 citations). Brian M. Bot has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Daniel J. Sargent, Stephen Friend, Megan Doerr, Christine Suver, Justin Guinney, Andrew D. Trister, John Wilbanks, Rodrigo Dienstmann, Elias Chaibub Neto and Abhishek Pratap. Their work appears in journals such as Journal of Clinical Oncology, Scientific Data, PLoS ONE, Journal of Thoracic Oncology and npj Digital Medicine.
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.