T. Mark Beasley
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Statistics and Probability top 2%
Papers in
-
- Advanced Statistical Methods and Models 8
- Statistical Methods in Clinical Trials 7
- Genetics 17
- Genetic Mapping and Diversity in Plants and Animals 11
- Genetic Associations and Epidemiology 8
- Genetic and phenotypic traits in livestock 7
- Co-authors
- Randall E. Schumacker (1 shared paper)David Blair Allison (24 shared papers)José R. Fernández (14 shared papers)Stephen W. Erickson (1 shared paper)Gerald McGwin (3 shared papers)Nita A. Limdi (4 shared papers)Bruno D. Zumbo (2 shared papers)Donna K. Arnett (3 shared papers)
- Journals
- Obesity (3 papers)Human Heredity (3 papers)International Journal of Obesity (3 papers)Behavior Genetics (2 papers)Clinical Pharmacology & Therapeutics (2 papers)
- Partner nations
- United StatesCanadaPuerto Rico
In The Last Decade
T. Mark Beasley
72 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 198
- Pharmacology 468
- Statistics and Probability 171
- Pharmacy 69
- Genetics 419
- Internal Medicine 43
Countries citing papers authored by T. Mark Beasley
This map shows the geographic impact of T. Mark Beasley'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 T. Mark Beasley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mark Beasley more than expected).
Fields of papers citing papers by T. Mark Beasley
This network shows the impact of papers produced by T. Mark Beasley. 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 T. Mark Beasley. The network helps show where T. Mark Beasley may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Mark Beasley, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 591 | |
| 2 | 2009 | 220 | |
| 3 | 2007 | 205 | |
| 4 | 2008 | 126 | |
| 5 | 2010 | 124 | |
| 6 | 2011 | 119 | |
| 7 | 2006 | 104 | |
| 8 | 2003 | 103 | |
| 9 | 2008 | 93 | |
| 10 | 2003 | 92 | |
| 11 | 2000 | 90 | |
| 12 | 2015 | 89 | |
| 13 | 2016 | 75 | |
| 14 | 2006 | 69 | |
| 15 | 2003 | 68 | |
| 16 | 2002 | 58 | |
| 17 | 2006 | 53 | |
| 18 | 2007 | 47 | |
| 19 | 2014 | 47 | |
| 20 | 2004 | 40 |
About T. Mark Beasley
T. Mark Beasley is a scholar working on Statistics and Probability, Genetics, Management Science and Operations Research, Pharmacology and Experimental and Cognitive Psychology, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic Associations and Epidemiology (8 papers), Advanced Statistical Methods and Models (8 papers), Obesity, Physical Activity, Diet (7 papers), Genetic and phenotypic traits in livestock (7 papers), Statistical Methods in Clinical Trials (7 papers), Optimal Experimental Design Methods (7 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Pharmacology (468 citations), Statistics and Probability (171 citations), Pharmacy (69 citations), Genetics (419 citations) and Internal Medicine (43 citations). T. Mark Beasley has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Randall E. Schumacker, David Blair Allison, José R. Fernández, Stephen W. Erickson, Gerald McGwin, Nita A. Limdi, Bruno D. Zumbo, Donna K. Arnett, Acton Rt and Krista Casazza. Their work appears in journals such as Obesity, Human Heredity, International Journal of Obesity, Behavior Genetics and Clinical Pharmacology & Therapeutics.
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.