Mark Whitten

988 total citations · 1 hit paper
8 papers, 591 citations indexed

About

Mark Whitten is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Mark Whitten has authored 8 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Mark Whitten's work include Forensic and Genetic Research (5 papers), Genetic diversity and population structure (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Mark Whitten is often cited by papers focused on Forensic and Genetic Research (5 papers), Genetic diversity and population structure (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Mark Whitten collaborates with scholars based in Germany, Australia and United Kingdom. Mark Whitten's co-authors include Svante Pääbo, Tomislav Maričić, Brigitte Pakendorf, Chiara Barbieri, Klaus Beyer, Mark Stoneking, Ellen D. Gunnarsdóttir, Peter de Knijff, Donata Luiselli and Koen Bostoen and has published in prestigious journals such as PLoS ONE, Molecular Biology and Evolution and American Journal of Physical Anthropology.

In The Last Decade

Mark Whitten

8 papers receiving 582 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.

Multiplexed DNA Sequence Capture of Mitochondrial Genomes Using PCR Products

2010 367 citations Tomislav Maričić, Mark Whitten et al. PLoS ONE profile →

Peers

Mark Whitten

GENET

MB

ARCHE

PALEO

ECOLO

Cristina Gamba Spain

Ana T. Duggan Canada

Ricardo Kanitz Switzerland

Kristian Hanghøj Denmark

Anna Linderholm Sweden

Vera Warmuth Germany

Cara Monroe United States

Ruth Bollongino Germany

Philip L. F. Johnson United States

Marcela Sandoval‐Velasco Denmark

Cristina Gamba Spain

Mark Whitten

680 ×1.5

GENET

238 ×1.2

MB

403 ×3.1

ARCHE

350 ×3.7

PALEO

139 ×1.5

ECOLO

Citations per year, relative to Mark Whitten Mark Whitten (= 1×) peers Cristina Gamba

Countries citing papers authored by Mark Whitten

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Whitten

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Whitten. A scholar is included among the top collaborators of Mark Whitten 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 Mark Whitten. Mark Whitten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Marchi, Nina, Tatyana Hegay, Philippe Mennecier, et al.. (2017). Sex‐specific genetic diversity is shaped by cultural factors in Inner Asian human populations. American Journal of Physical Anthropology. 162(4). 627–640. 24 indexed citations

2.

Duggan, Ana T., Mark Whitten, Victor Wiebe, et al.. (2013). Investigating the Prehistory of Tungusic Peoples of Siberia and the Amur-Ussuri Region with Complete mtDNA Genome Sequences and Y-chromosomal Markers. PLoS ONE. 8(12). e83570–e83570. 29 indexed citations

3.

Bower, Mim A., Michael G. Campana, R. Ellen R. Nisbet, et al.. (2012). TRUTH IN THE BONES: RESOLVING THE IDENTITY OF THE FOUNDING ELITE THOROUGHBRED RACEHORSES. Archaeometry. 54(5). 916–925. 3 indexed citations

4.

Bower, Mim A., Mark Whitten, R. Ellen R. Nisbet, et al.. (2012). Thoroughbred racehorse mitochondrial DNA demonstrates closer than expected links between maternal genetic history and pedigree records. Journal of Animal Breeding and Genetics. 130(3). 227–235. 10 indexed citations

5.

Barbieri, Chiara, et al.. (2011). Contrasting Maternal and Paternal Histories in the Linguistic Context of Burkina Faso. Molecular Biology and Evolution. 29(4). 1213–1223. 24 indexed citations

6.

Filippo, Cesare de, Chiara Barbieri, Mark Whitten, et al.. (2010). Y-Chromosomal Variation in Sub-Saharan Africa: Insights Into the History of Niger-Congo Groups. Molecular Biology and Evolution. 28(3). 1255–1269. 94 indexed citations

7.

Maričić, Tomislav, Mark Whitten, & Svante Pääbo. (2010). Multiplexed DNA Sequence Capture of Mitochondrial Genomes Using PCR Products. PLoS ONE. 5(11). e14004–e14004. 367 indexed citations breakdown →

8.

Bower, Mim A., Michael G. Campana, Mark Whitten, et al.. (2010). The cosmopolitan maternal heritage of the Thoroughbred racehorse breed shows a significant contribution from British and Irish native mares. Biology Letters. 7(2). 316–320. 40 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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