Dmitri V. Zaykin

5.5k citations
51 papers · 3.1k indexed · 1 hit paper · h-index 23

Dmitri V. Zaykin

50 papers receiving 3.0k citations

Hit Papers

Testing Association of Statistically Inferred Haplotypes ...5472002202620102018100200300400500

Peers

Dmitri V. Zaykin
Comparison fields: 5 of 161
  • Genetics 1.4k
  • Complementary and Manual Therapy 105
  • Statistics and Probability 164
  • Molecular Biology 1.1k
  • Nature and Landscape Conservation 187
Replace Nicole Soranzo with:
Nicole Soranzo United Kingdom
Desislava Petkova United States
Eli A. Stahl United States
Olivier Delaneau Switzerland
Yukinori Okada Japan
Yurii S. Aulchenko Netherlands
Chiara Romualdi Italy
Kristin Ardlie United States
Susan K. Service United States
Robert M. Plenge United States
Dmitri V. Zaykin relative to Nicole Soranzo United Kingdom Nicole Soranzo's profile →
Citations per field
00.5×10×20×26.3×
Nicole Soranzo · 1×
Citations per year

Countries citing papers authored by Dmitri V. Zaykin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitri V. Zaykin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitri V. Zaykin. 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 Dmitri V. Zaykin. The network helps show where Dmitri V. Zaykin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Dmitri V. Zaykin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitri V. Zaykin Line = papers co-authored together Dmitri V. Zaykin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20215
2 20206
3 20169
4 201524
5 20153
6 201423
7 201332
8 20132
9 2011156
10 20112
11 2011176
12 2010145
13 2008126
14 200812
15 200564
16 2003114
17
Testing Association of Statistically Inferred Haplotypes with Discrete and Continuous Traits in Samples of Unrelated Individualsbreakdown →
2002547
18 2002389
19 19992
20 1995173

About Dmitri V. Zaykin

Dmitri V. Zaykin is a scholar working on Genetics, Statistics and Probability and Complementary and Manual Therapy, having authored 51 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (25 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers), Genetic and phenotypic traits in livestock (11 papers), Gene expression and cancer classification (8 papers), Statistical Methods in Clinical Trials (5 papers), Bioinformatics and Genomic Networks (5 papers), Pain Mechanisms and Treatments (4 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Genetics (1.4k citations), Complementary and Manual Therapy (105 citations) and Statistics and Probability (164 citations). Dmitri V. Zaykin has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include A. I. Pudovkin, Peter H. Westfall, Lev A. Zhivotovsky, Margaret G. Ehm, Michael J. Wagner, Bruce S. Weir, B. S. Weir, Dennis Hedgecock, Zhaoling Meng and Luda Diatchenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

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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