Mark Whitten
Impact in
- Genetics top 5%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Race, Genetics, and Society
- Yersinia bacterium, plague, ectoparasites research
- Paleontology top 10%
- Archaeology and ancient environmental studies
Papers in
- Genetics 8
- Forensic and Genetic Research 5
- Genetic diversity and population structure 4
- Genetic and phenotypic traits in livestock 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Yersinia bacterium, plague, ectoparasites research 1
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- RNA regulation and disease 1
- Co-authors
- Svante Pääbo (1 shared paper)Tomislav Maričić (1 shared paper)Brigitte Pakendorf (3 shared papers)Chiara Barbieri (2 shared papers)Sununguko Wata Mpoloka (1 shared paper)Donata Luiselli (1 shared paper)Mark Stoneking (1 shared paper)Peter de Knijff (1 shared paper)
In The Last Decade
Mark Whitten
8 papers receiving 629 citations
Mark Whitten's Hit Papers
Peers
Comparison fields: 5 of 75
- Genetics 445
- Paleontology 99
- Equine 19
- Archeology 13
- Archeology 121
Countries citing papers authored by Mark Whitten
This map shows the geographic impact of Mark Whitten'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 Mark Whitten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Whitten more than expected).
Fields of papers citing papers by Mark Whitten
This network shows the impact of papers produced by Mark Whitten. 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 Mark Whitten. The network helps show where Mark Whitten may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Whitten, 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 | Multiplexed DNA Sequence Capture of Mitochondrial Genomes Using PCR Products Hit paper breakdown → | 2010 | 398 |
| 2 | 2010 | 111 | |
| 3 | 2011 | 43 | |
| 4 | 2010 | 41 | |
| 5 | 2013 | 33 | |
| 6 | 2017 | 24 | |
| 7 | 2012 | 10 | |
| 8 | 2012 | 4 |
About Mark Whitten
Mark Whitten is a scholar working on Genetics, Molecular Biology, Ecology, Management, Monitoring, Policy and Law and Cancer Research, having authored 8 papers that have together received 664 indexed citations. Recurring topics across this work include Forensic and Genetic Research (5 papers), Genetic diversity and population structure (4 papers), Genetic and phenotypic traits in livestock (3 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Wildlife Ecology and Conservation (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Rangeland Management and Livestock Ecology (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Genetics (445 citations), Paleontology (99 citations), Equine (19 citations), Archeology (13 citations) and Archeology (121 citations). Mark Whitten has collaborated with scholars based in Germany, Australia and Ireland. Frequent co-authors include Svante Pääbo, Tomislav Maričić, Brigitte Pakendorf, Chiara Barbieri, Sununguko Wata Mpoloka, Donata Luiselli, Mark Stoneking, Peter de Knijff, Koen Bostoen and Cesare de Filippo. Their work appears in journals such as Molecular Biology and Evolution, PLoS ONE, Journal of Animal Breeding and Genetics, Biology Letters and American Journal of Physical Anthropology.
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.