Mark D. Shriver

42.6k total citations · 2 hit papers
198 papers, 13.3k citations indexed

About

Mark D. Shriver is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, Mark D. Shriver has authored 198 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Genetics, 52 papers in Molecular Biology and 26 papers in Cell Biology. Recurrent topics in Mark D. Shriver's work include Genetic Associations and Epidemiology (27 papers), melanin and skin pigmentation (25 papers) and Forensic and Genetic Research (23 papers). Mark D. Shriver is often cited by papers focused on Genetic Associations and Epidemiology (27 papers), melanin and skin pigmentation (25 papers) and Forensic and Genetic Research (23 papers). Mark D. Shriver collaborates with scholars based in United States, Belgium and Canada. Mark D. Shriver's co-authors include Esteban J. Parra, Jin Li, Joshua M. Akey, Rick A. Kittles, Paul McKeigue, Ranjan Deka, Carolina Bonilla, Ranajit Chakraborty, R E Ferrell and Kun Zhang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark D. Shriver

193 papers receiving 12.8k citations

Hit Papers

Interrogating a High-Dens... 1998 2026 2007 2016 2002 1998 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark D. Shriver 7.1k 3.1k 1.2k 986 844 198 13.3k
Esteban J. Parra 3.7k 0.5× 1.5k 0.5× 1.0k 0.9× 831 0.8× 457 0.5× 125 7.2k
David L. Duffy 2.9k 0.4× 2.9k 0.9× 2.3k 1.9× 1.8k 1.8× 440 0.5× 246 11.2k
Manfred Kayser 10.4k 1.5× 7.5k 2.4× 1.6k 1.3× 974 1.0× 248 0.3× 268 16.4k
Juha Kere 5.5k 0.8× 10.3k 3.3× 1.0k 0.8× 770 0.8× 1.6k 1.9× 512 22.1k
David A. Hinds 4.9k 0.7× 4.2k 1.4× 607 0.5× 392 0.4× 271 0.3× 95 11.3k
Kāri Stefánsson 6.1k 0.9× 6.5k 2.1× 762 0.6× 225 0.2× 826 1.0× 246 17.8k
Grant W. Montgomery 11.3k 1.6× 7.8k 2.5× 1.3k 1.1× 665 0.7× 1.5k 1.8× 507 26.1k
Michael J. Bamshad 9.4k 1.3× 9.1k 2.9× 850 0.7× 225 0.2× 797 0.9× 255 18.3k
Jürg Ott 8.5k 1.2× 10.6k 3.4× 928 0.8× 246 0.2× 689 0.8× 343 25.1k
Katsushi Tokunaga 3.6k 0.5× 4.9k 1.6× 499 0.4× 457 0.5× 397 0.5× 629 18.0k

Countries citing papers authored by Mark D. Shriver

Since Specialization
Citations

This map shows the geographic impact of Mark D. Shriver'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 D. Shriver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Shriver more than expected).

Fields of papers citing papers by Mark D. Shriver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Shriver. 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 D. Shriver. The network helps show where Mark D. Shriver may publish in the future.

Co-authorship network of co-authors of Mark D. Shriver

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

All Works

20 of 20 papers shown
1.
Basu, Saonli, et al.. (2025). Interpreting SNP heritability in admixed populations. Genetics. 230(4).
2.
Naqvi, Sahin, Hanne Hoskens, Meng Yuan, et al.. (2025). Enhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS. Communications Biology. 8(1). 439–439.
3.
Nemeth, Christopher, Hanne Hoskens, G. Wilson, et al.. (2024). Quantitative analysis of facial shape in children to support respirator design. Applied Ergonomics. 122. 104375–104375. 1 indexed citations
4.
Yuan, Meng, Harold Matthews, Hanne Hoskens, et al.. (2024). Mapping genes for human face shape: Exploration of univariate phenotyping strategies. PLoS Computational Biology. 20(12). e1012617–e1012617.
5.
Smallcombe, James W., et al.. (2023). Human scalp hair as a thermoregulatory adaptation. Proceedings of the National Academy of Sciences. 120(24). e2301760120–e2301760120. 11 indexed citations
6.
Matthews, Harold, Hanne Hoskens, Sylvia Singh, et al.. (2023). Exploring regional aspects of 3D facial variation within European individuals. Scientific Reports. 13(1). 3708–3708. 3 indexed citations
7.
Hoskens, Hanne, Ryan J. Eller, Anthony M. Musolf, et al.. (2023). Joint multi-ancestry and admixed GWAS reveals the complex genetics behind human cranial vault shape. Nature Communications. 14(1). 7436–7436. 13 indexed citations
8.
Shriver, Mark D., et al.. (2021). Stimulus Preference Assessment Decision-Making System (SPADS): A Decision-Making Model for Practitioners. Behavior Analysis in Practice. 14(4). 1144–1156. 7 indexed citations
9.
Naqvi, Sahin, Hanne Hoskens, Karlijne Indencleef, et al.. (2021). Shared heritability of human face and brain shape. Nature Genetics. 53(6). 830–839. 54 indexed citations
10.
Hooker, Stanley, Wenndy Hernandez, Carolina Bonilla, et al.. (2020). Genetic ancestry, skin color and social attainment: The four cities study. PLoS ONE. 15(8). e0237041–e0237041. 11 indexed citations
11.
Zaidi, Arslan A., Julie D. White, Brooke C. Mattern, et al.. (2019). Facial masculinity does not appear to be a condition-dependent male ornament and does not reflect MHC heterozygosity in humans. Proceedings of the National Academy of Sciences. 116(5). 1633–1638. 46 indexed citations
12.
Zaidi, Arslan A., Jiarui Li, Julie D. White, et al.. (2019). Facial recognition from DNA using face-to-DNA classifiers. Nature Communications. 10(1). 2557–2557. 45 indexed citations
13.
Beleza, Sandra, Nicholas A. Johnson, Sophie I. Candille, et al.. (2013). Genetic Architecture of Skin and Eye Color in an African-European Admixed Population. PLoS Genetics. 9(3). e1003372–e1003372. 93 indexed citations
14.
Wagner, Jennifer K., et al.. (2013). Personal DNA Testing in College Classrooms: Perspectives of Students and Professors. Genetic Testing and Molecular Biomarkers. 17(6). 446–452. 10 indexed citations
15.
Beleza, Sandra, António M. Santos, Brian McEvoy, et al.. (2012). The Timing of Pigmentation Lightening in Europeans. Molecular Biology and Evolution. 30(1). 24–35. 97 indexed citations
16.
McKevitt, Brian C., et al.. (2012). Dealing with Behavior Problems: The Use of Positive Behavior Support Strategies in Summer Programs.. 3 indexed citations
17.
Bigham, Abigail W., Melisa Kiyamu, Fabiola Lèon‐Velarde, et al.. (2008). Angiotensin-Converting Enzyme Genotype and Arterial Oxygen Saturation at High Altitude in Peruvian Quechua. High Altitude Medicine & Biology. 9(2). 167–178. 47 indexed citations
18.
Wang, Hongyan, Mary D. Sammel, Gerard Tromp, et al.. (2008). A 12-bp deletion in the 5'-flanking region of theSERPINH1gene affects promoter activity and protects against preterm premature rupture of membranes in African Americans. Human Mutation. 29(2). 332–332. 16 indexed citations
19.
Wang, Hongyan, Samuel Parry, George A. Macones, et al.. (2006). A functional SNP in the promoter of the SERPINH1 gene increases risk of preterm premature rupture of membranes in African Americans. Proceedings of the National Academy of Sciences. 103(36). 13463–13467. 70 indexed citations
20.
Axton, Myles, Francis S. Collins, Charles N. Rotimi, et al.. (2004). Genetics for the Human Race. Nature Genetics. 36(11). 7 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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