Michael C. Turchin

3.5k total citations · 1 hit paper
9 papers, 776 citations indexed

About

Michael C. Turchin is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Immunology. According to data from OpenAlex, Michael C. Turchin has authored 9 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Immunology. Recurrent topics in Michael C. Turchin's work include Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Michael C. Turchin is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Michael C. Turchin collaborates with scholars based in United States, Sweden and Canada. Michael C. Turchin's co-authors include Joel N. Hirschhorn, Charleston W. K. Chiang, David Reich, Jonathan K. Pritchard, Guy Sella, Yuval B. Simons, Cameron D. Palmer, Sriram Sankararaman, Andrea Ganna and Alex Bloemendal and has published in prestigious journals such as Nature Genetics, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Michael C. Turchin

9 papers receiving 754 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.

Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies

2019 228 citations Mashaal Sohail, Robert Maier et al. eLife profile →

Peers

Countries citing papers authored by Michael C. Turchin

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Turchin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Turchin. 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 Michael C. Turchin. The network helps show where Michael C. Turchin may publish in the future.

Co-authorship network of co-authors of Michael C. Turchin

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

#	Work	Indexed citations
1	Leveraging health systems data to characterize a large effect variant conferring risk for liver disease in Puerto Ricans 2021 ·The American Journal of Human Genetics ·Gillian M. Belbin, Stephanie Rutledge, Tetyana Dodatko, Sinéad Cullina, Michael C. Turchin, (unknown), Denis Torre, Muh‐Ching Yee, Christopher R. Gignoux, Noura S. Abul‐Husn, Sander M. Houten, Eimear E. Kenny	4
2	Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies breakdown → 2019 ·eLife ·Mashaal Sohail, Robert Maier, Andrea Ganna, Alex Bloemendal, Alicia R. Martin, Michael C. Turchin, Charleston W. K. Chiang, Joel N. Hirschhorn, Mark J. Daly, (unknown), Benjamin M. Neale, Iain Mathieson, David Reich, Shamil Sunyaev	228
3	Bayesian multivariate reanalysis of large genetic studies identifies many new associations 2019 ·PLoS Genetics ·Michael C. Turchin, Matthew Stephens	9
4	The deleterious mutation load is insensitive to recent population history 2014 ·Nature Genetics ·Yuval B. Simons, Michael C. Turchin, Jonathan K. Pritchard, Guy Sella	184
5	Evidence of widespread selection on standing variation in Europe at height-associated SNPs 2012 ·Nature Genetics ·Michael C. Turchin, Charleston W. K. Chiang, Cameron D. Palmer, Sriram Sankararaman, David Reich, Joel N. Hirschhorn	233
6	Gencrypt: one-way cryptographic hashes to detect overlapping individuals across samples 2012 ·Bioinformatics ·Michael C. Turchin, Joel N. Hirschhorn	5
7	Genome-wide Association of Copy-Number Variation Reveals an Association between Short Stature and the Presence of Low-Frequency Genomic Deletions 2011 ·The American Journal of Human Genetics ·Andrew Dauber, Yongguo Yu, Michael C. Turchin, Charleston W. K. Chiang, Yan Meng, Ellen W. Demerath, Sanjay R. Patel, Stephen S. Rich, Jerome I. Rotter, Pamela J. Schreiner, James Wilson, Yiping Shen, Bai-Lin Wu, Joel N. Hirschhorn	56
8	Temporally Variable Selection on Proteolysis-Related Reproductive Tract Proteins in Drosophila 2011 ·Molecular Biology and Evolution ·Alex Wong, Michael C. Turchin, Mariana F. Wolfner, Charles F. Aquadro	11
9	Evidence for Positive Selection on Drosophila melanogaster Seminal Fluid Protease Homologs 2007 ·Molecular Biology and Evolution ·Alex Wong, Michael C. Turchin, Mariana F. Wolfner, Charles F. Aquadro	46

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.

Explore authors with similar magnitude of impact