T. Mark Beasley
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Statistics and Probability top 2%
Papers in
-
- Statistical Methods in Clinical Trials 8
- Advanced Statistical Methods and Models 8
- Co-authors
- Randall E. SchumackerDavid B. AllisonJosé R. FernándezStephen W. EricksonGerald McGwinBruno D. ZumboNita A. LimdiDonna K. Arnett
- Journals
- Obesity (3 papers)Human Heredity (3 papers)International Journal of Obesity (3 papers)The American Journal of Human Genetics (2 papers)Genetics Selection Evolution (2 papers)
- Partner nations
- United StatesCanadaPuerto Rico
In The Last Decade
T. Mark Beasley
68 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Pharmacology 471
- Statistics and Probability 192
- Pharmacy 93
- Genetics 449
- Endocrinology, Diabetes and Metabolism 254
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2013 | 25 | |
| 4 | 2011 | 27 | |
| 5 | 2011 | 10 | |
| 6 | 2011 | 117 | |
| 7 | 2011 | 17 | |
| 8 | 2010 | 118 | |
| 9 | 2010 | 8 | |
| 10 | 2009 | 17 | |
| 11 | 2008 | 4 | |
| 12 | 2007 | 189 | |
| 13 | 2006 | 98 | |
| 14 | 2006 | 11 | |
| 15 | 2006 | 22 | |
| 16 | 2004 | 6 | |
| 17 | 2004 | 37 | |
| 18 | 2002 | 55 | |
| 19 | 2000 | 23 | |
| 20 | 1997 | 19 |
About T. Mark Beasley
T. Mark Beasley is a scholar working on Statistics and Probability, Chemical Health and Safety, Pharmacy, Pharmacology and Management Science and Operations Research, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Obesity, Physical Activity, Diet (10 papers), Genetic and phenotypic traits in livestock (9 papers), Optimal Experimental Design Methods (9 papers), Statistical Methods in Clinical Trials (8 papers), Advanced Statistical Methods and Models (8 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Pharmacology (471 citations), Statistics and Probability (192 citations), Pharmacy (93 citations), Genetics (449 citations) and Endocrinology, Diabetes and Metabolism (254 citations). T. Mark Beasley has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Randall E. Schumacker, David B. Allison, José R. Fernández, Stephen W. Erickson, Gerald McGwin, Bruno D. Zumbo, Nita A. Limdi, Donna K. Arnett, Krista Casazza and Acton Rt. Their work appears in journals such as Obesity, Human Heredity, International Journal of Obesity, The American Journal of Human Genetics and Genetics Selection Evolution.
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.