Brian M. Bot

9.3k total citations · 1 hit paper
53 papers, 2.5k citations indexed

About

Brian M. Bot is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brian M. Bot has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 13 papers in Molecular Biology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brian M. Bot's work include Colorectal Cancer Treatments and Studies (10 papers), Colorectal Cancer Surgical Treatments (6 papers) and Genetic factors in colorectal cancer (6 papers). Brian M. Bot is often cited by papers focused on Colorectal Cancer Treatments and Studies (10 papers), Colorectal Cancer Surgical Treatments (6 papers) and Genetic factors in colorectal cancer (6 papers). Brian M. Bot collaborates with scholars based in United States, Canada and France. Brian M. Bot's co-authors include Daniel J. Sargent, Stephen Friend, Christine Suver, Megan Doerr, Justin Guinney, Andrew D. Trister, John Wilbanks, Rodrigo Dienstmann, Elias Chaibub Neto and Qian Shi and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Brian M. Bot

50 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The mPower study, Parkinson disease mobile data collected using ResearchKit

2016 404 citations Brian M. Bot, Christine Suver et al. Scientific Data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian M. Bot United States	27	954	576	432	431	330	53	2.5k
Rajesh Dash United States	28	325 0.3×	616 1.1×	232 0.5×	373 0.9×	152 0.5×	93	3.1k
Bickol N. Mukesh United States	28	807 0.8×	909 1.6×	253 0.6×	262 0.6×	603 1.8×	55	3.7k
Sean Khozin United States	27	1.6k 1.7×	959 1.7×	200 0.5×	1.2k 2.7×	589 1.8×	69	3.6k
Peng Huang United States	29	493 0.5×	711 1.2×	118 0.3×	699 1.6×	422 1.3×	71	2.9k
Domenica Taruscio Italy	36	270 0.3×	1.1k 1.9×	326 0.8×	420 1.0×	358 1.1×	194	3.8k
Katherine McGrath Australia	27	635 0.7×	566 1.0×	248 0.6×	158 0.4×	279 0.8×	76	3.4k
Amy Lehman United States	38	1.2k 1.2×	1.7k 2.9×	858 2.0×	337 0.8×	584 1.8×	102	4.7k
Mark Hachey United States	10	1.5k 1.6×	797 1.4×	251 0.6×	754 1.7×	483 1.5×	13	3.4k
Sheila A. Prindiville United States	23	992 1.0×	871 1.5×	119 0.3×	620 1.4×	317 1.0×	51	2.6k
Peter Marks United States	29	783 0.8×	1.5k 2.7×	200 0.5×	408 0.9×	188 0.6×	103	5.0k

Countries citing papers authored by Brian M. Bot

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian M. Bot

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Bot. A scholar is included among the top collaborators of Brian M. Bot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian M. Bot. Brian M. Bot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Neto, Elias Chaibub, Thanneer M. Perumal, Abhishek Pratap, et al.. (2022). Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies. PLoS ONE. 17(8). e0271766–e0271766. 1 indexed citations

Doerr, Megan, et al.. (2020). Assessment of theAll of Usresearch program’s informed consent process. AJOB Empirical Bioethics. 12(2). 72–83. 19 indexed citations

Neto, Elias Chaibub, Abhishek Pratap, Thanneer M. Perumal, et al.. (2019). Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digital Medicine. 2(1). 99–99. 46 indexed citations

Hershman, Steven G., Brian M. Bot, Anna Shcherbina, et al.. (2019). Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Scientific Data. 6(1). 24–24. 48 indexed citations

Chan, Yu‐Feng Yvonne, Brian M. Bot, Micol Zweig, et al.. (2018). The asthma mobile health study, smartphone data collected using ResearchKit. Scientific Data. 5(1). 180096–180096. 38 indexed citations

Radin, Jennifer M., Steven R. Steinhubl, Andrew I. Su, et al.. (2018). The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app. npj Digital Medicine. 1(1). 45–45. 34 indexed citations

Doerr, Megan, et al.. (2017). Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study. JMIR mhealth and uhealth. 5(2). e14–e14. 48 indexed citations

Dienstmann, Rodrigo, Mike J. Mason, Frank A. Sinicrope, et al.. (2017). Prediction of overall survival in stage II and III colon cancer beyond TNM system: a retrospective, pooled biomarker study. Annals of Oncology. 28(5). 1023–1031. 166 indexed citations

Bot, Brian M., Christine Suver, Elias Chaibub Neto, et al.. (2016). The mPower study, Parkinson disease mobile data collected using ResearchKit. Scientific Data. 3(1). 160011–160011. 404 indexed citations breakdown →

10.

Ho, Thai H., Daniel Serie, Mansi Parasramka, et al.. (2016). Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes. Annals of Oncology. 28(3). 604–610. 67 indexed citations

11.

Lau, Edward, Quan Cao, Dominic C. M. Ng, et al.. (2016). A large dataset of protein dynamics in the mammalian heart proteome. Scientific Data. 3(1). 160015–160015. 69 indexed citations

12.

Karr, Jonathan R., Jeremy Zucker, Andreas Raue, et al.. (2015). Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models. PLoS Computational Biology. 11(5). e1004096–e1004096. 51 indexed citations

13.

Sinicrope, Frank A., Qian Shi, Thomas C. Smyrk, et al.. (2014). Molecular Markers Identify Subtypes of Stage III Colon Cancer Associated With Patient Outcomes. Gastroenterology. 148(1). 88–99. 253 indexed citations

14.

Ferté, Charles, Andrew D. Trister, Erich Huang, et al.. (2013). Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology. Clinical Cancer Research. 19(16). 4315–4325. 33 indexed citations

15.

Ferté, Charles, Antoine Hollebecque, Serge Koscielny, et al.. (2013). Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials. Clinical Cancer Research. 20(1). 246–252. 130 indexed citations

16.

Bot, Brian M., et al.. (2013). clearScience: Infrastructure for Communicating Data-Intensive Science.. PubMed. 2013. 27–27. 2 indexed citations

17.

Wu, Wenting, et al.. (2013). A phase II flexible screening design allowing for interim analysis and comparison with historical control. Contemporary Clinical Trials. 35(2). 128–137. 1 indexed citations

18.

Derry, Jonathan M.J., Lara M. Mangravite, Christine Suver, et al.. (2012). Developing predictive molecular maps of human disease through community-based modeling. Nature Genetics. 44(2). 127–130. 36 indexed citations

19.

Sargent, Daniel J., Murray B. Resnick, Michael O. Meyers, et al.. (2011). Evaluation of Guanylyl Cyclase C Lymph Node Status for Colon Cancer Staging and Prognosis. Annals of Surgical Oncology. 18(12). 3261–3270. 26 indexed citations

20.

Hillman, Shauna L., Sumithra J. Mandrekar, Brian M. Bot, et al.. (2010). Evaluation of the Value of Attribution in the Interpretation of Adverse Event Data: A North Central Cancer Treatment Group and American College of Surgeons Oncology Group Investigation. Journal of Clinical Oncology. 28(18). 3002–3007. 38 indexed citations

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.

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