Michael D. Shapiro

5.8k total citations · 3 hit papers
63 papers, 4.1k citations indexed

About

Michael D. Shapiro is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Michael D. Shapiro has authored 63 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 16 papers in Molecular Biology and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Michael D. Shapiro's work include Genetic diversity and population structure (19 papers), Animal Behavior and Reproduction (9 papers) and Genetic and phenotypic traits in livestock (9 papers). Michael D. Shapiro is often cited by papers focused on Genetic diversity and population structure (19 papers), Animal Behavior and Reproduction (9 papers) and Genetic and phenotypic traits in livestock (9 papers). Michael D. Shapiro collaborates with scholars based in United States, Canada and China. Michael D. Shapiro's co-authors include David M. Kingsley, Dolph Schluter, Catherine L. Peichel, Benjamin K. Blackman, Bjarni Jónsson, Melissa E. Marks, Kirsten S. Nereng, Michael A. Bell, James Hanken and Nadia Rosenthal and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael D. Shapiro

58 papers receiving 4.0k 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.

Adaptive Evolution of Pelvic Reduction in Sticklebacks by Recurrent Deletion of a Pitx1 Enhancer

2009 751 citations Yingguang Frank Chan, Melissa E. Marks et al. Science profile →
Genetic and developmental basis of evolutionary pelvic reduction in threespine sticklebacks

2004 655 citations Michael D. Shapiro, Melissa E. Marks et al. profile →
Atherosclerotic cardiovascular disease risk assessment: An American Society for Preventive Cardiology clinical practice statement

2022 151 citations Erin D. Michos, Michael D. Shapiro et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael D. Shapiro United States	25	2.1k	1.4k	778	587	545	63	4.1k
Jesse N. Weber United States	21	2.5k 1.2×	1.4k 1.0×	874 1.1×	588 1.0×	638 1.2×	34	4.3k
Shigehiro Kuraku Japan	38	1.2k 0.6×	2.9k 2.1×	392 0.5×	972 1.7×	766 1.4×	143	5.0k
Fabrício R. Santos Brazil	39	2.5k 1.2×	1.1k 0.8×	951 1.2×	864 1.5×	346 0.6×	177	5.1k
Eric J. Routman United States	31	2.8k 1.3×	859 0.6×	742 1.0×	572 1.0×	784 1.4×	54	4.3k
Mihaela Pavličev United States	30	1.2k 0.6×	1.3k 0.9×	506 0.7×	170 0.3×	308 0.6×	69	3.7k
Ian Dworkin United States	29	1.7k 0.8×	816 0.6×	1.3k 1.7×	207 0.4×	438 0.8×	84	3.5k
Jeffrey M. Good United States	36	3.7k 1.7×	2.0k 1.4×	1.2k 1.6×	452 0.8×	781 1.4×	88	6.0k
Christopher C. Witt United States	30	1.6k 0.8×	1.0k 0.7×	1.7k 2.1×	942 1.6×	415 0.8×	89	4.6k
Bret A. Payseur United States	37	3.7k 1.7×	2.1k 1.5×	1.2k 1.5×	249 0.4×	1.3k 2.4×	86	5.4k
John Gatesy United States	28	1.3k 0.6×	1.6k 1.1×	1.2k 1.5×	693 1.2×	322 0.6×	55	4.4k

Countries citing papers authored by Michael D. Shapiro

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Shapiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Shapiro

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

All Works

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20 of 20 papers shown

Saadatagah, Seyedmohammad, Mohammadreza Naderian, Vijay Nambi, et al.. (2025). Recognition and management of persistent chylomicronemia: A joint expert clinical consensus by the National Lipid Association and the American Society for Preventive Cardiology. American Journal of Preventive Cardiology. 22. 100978–100978. 2 indexed citations

Bhatia, Harpreet, Rishi Rikhi, Michael Y. Tsai, et al.. (2025). Association of Lipoprotein(a) and Interleukin-6 With Cardiovascular Risk. Journal of the American College of Cardiology. 86(21). 2000–2013. 2 indexed citations

Filtz, Annalisa, Niranjan Kathe, Eduard Sidelnikov, et al.. (2025). Disparities in achieving low-density lipoprotein cholesterol goals after revascularization in a diverse real-world cohort. European Journal of Preventive Cardiology. 32(13). 1192–1201. 1 indexed citations

Baldwin-Brown, James G., Scott M. Villa, Kevin P. Johnson, et al.. (2025). Genomics of Experimental Adaptive Radiation in the Cryptic Coloration of Feather Lice. Genome Biology and Evolution. 17(5).

Siddiqi, Tariq Jamal, Muhammad Shahzeb Khan, Harriette G.C. Van Spall, et al.. (2025). Effect of Glucagon-Like Peptide-1 Receptor Agonists on Heart Failure Outcomes and Cardiovascular Death Across Varying Cardiovascular-Kidney-Metabolic Comorbidity. European Journal of Heart Failure. 27(12). 2844–2854.

Ambrosio, Mariateresa, Megan Campbell, Salvatore Carbone, et al.. (2025). Evaluation of the PREVENT risk assessment tool and visceral adiposity: Insights from the UK Biobank. Progress in Cardiovascular Diseases. 94. 56–62. 1 indexed citations

Vickrey, Anna I., et al.. (2023). A computer vision framework for quantification of feather growth patterns. SHILAP Revista de lepidopterología. 3. 1073918–1073918. 1 indexed citations

Maclary, Emily, et al.. (2023). An allelic series at the EDNRB2 locus controls diverse piebalding patterns in the domestic pigeon. PLoS Genetics. 19(10). e1010880–e1010880. 3 indexed citations

Dearing, M. Denise, Teri J. Orr, Robert Greenhalgh, et al.. (2022). Toxin tolerance across landscapes: Ecological exposure not a prerequisite. Functional Ecology. 36(8). 2119–2131. 8 indexed citations

10.

Boyd, Bret M., Nam Nguyen, Julie M. Allen, et al.. (2022). Long-distance dispersal of pigeons and doves generated new ecological opportunities for host-switching and adaptive radiation by their parasites. Proceedings of the Royal Society B Biological Sciences. 289(1970). 20220042–20220042. 18 indexed citations

11.

Boer, Elena F., Emily Maclary, & Michael D. Shapiro. (2021). Complex genetic architecture of three‐dimensional craniofacial shape variation in domestic pigeons. Evolution & Development. 23(6). 477–495. 7 indexed citations

12.

Maclary, Emily, Elena F. Boer, Rebecca Bruders, et al.. (2021). Two Genomic Loci Control Three Eye Colors in the Domestic Pigeon ( Columba livia ). Molecular Biology and Evolution. 38(12). 5376–5390. 11 indexed citations

13.

Baldwin-Brown, James G., Scott M. Villa, Anna I. Vickrey, et al.. (2021). The assembled and annotated genome of the pigeon louse Columbicola columbae , a model ectoparasite. G3 Genes Genomes Genetics. 11(2). 21 indexed citations

14.

Villa, Scott M., James S. Ruff, Kevin P. Johnson, et al.. (2019). Rapid experimental evolution of reproductive isolation from a single natural population. Proceedings of the National Academy of Sciences. 116(27). 13440–13445. 35 indexed citations

15.

Webster, Mike, Laura Chouinard‐Thuly, Gábor Herczeg, et al.. (2019). A four-questions perspective on public information use in sticklebacks (Gasterosteidae). Royal Society Open Science. 6(2). 181735–181735. 13 indexed citations

16.

Miller, Matthew, et al.. (2010). Phylogeography of ninespine sticklebacks (Pungitius pungitius) in North America: glacial refugia and the origins of adaptive traits. Molecular Ecology. 19(18). 4061–4076. 59 indexed citations

17.

Chan, Yingguang Frank, Melissa E. Marks, Felicity C. Jones, et al.. (2009). Adaptive Evolution of Pelvic Reduction in Sticklebacks by Recurrent Deletion of a Pitx1 Enhancer. Science. 327(5963). 302–305. 751 indexed citations breakdown →

18.

Shapiro, Michael D., et al.. (2009). The Genetic Architecture of Skeletal Convergence and Sex Determination in Ninespine Sticklebacks. Current Biology. 19(13). 1156–1156. 11 indexed citations

19.

Shapiro, Michael D., Michael A. Bell, & David M. Kingsley. (2006). Parallel genetic origins of pelvic reduction in vertebrates. Proceedings of the National Academy of Sciences. 103(37). 13753–13758. 168 indexed citations

20.

Shapiro, Michael D., James Hanken, & Nadia Rosenthal. (2003). Developmental basis of evolutionary digit loss in the Australian lizard Hemiergis. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 297B(1). 48–56. 277 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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