David S. Portnoy

2.0k total citations
76 papers, 1.5k citations indexed

About

David S. Portnoy is a scholar working on Nature and Landscape Conservation, Molecular Biology and Genetics. According to data from OpenAlex, David S. Portnoy has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Nature and Landscape Conservation, 31 papers in Molecular Biology and 31 papers in Genetics. Recurrent topics in David S. Portnoy's work include Fish Ecology and Management Studies (34 papers), Ichthyology and Marine Biology (33 papers) and Genetic diversity and population structure (29 papers). David S. Portnoy is often cited by papers focused on Fish Ecology and Management Studies (34 papers), Ichthyology and Marine Biology (33 papers) and Genetic diversity and population structure (29 papers). David S. Portnoy collaborates with scholars based in United States, United Kingdom and France. David S. Portnoy's co-authors include Christopher M. Hollenbeck, John R. Gold, Jonathan B. Puritz, Stuart C. Willis, Shannon J. O’Leary, John A. Musick, Edward J. Heist, John E. Graves, Jan R. McDowell and Jim Gelsleichter and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Current Biology.

In The Last Decade

David S. Portnoy

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Portnoy United States 19 845 555 425 399 356 76 1.5k
José Martín Pujolar Denmark 25 653 0.8× 889 1.6× 466 1.1× 518 1.3× 393 1.1× 74 1.7k
Bruno Guinand France 22 636 0.8× 951 1.7× 500 1.2× 475 1.2× 502 1.4× 68 1.6k
Alessia Cariani Italy 16 455 0.5× 580 1.0× 552 1.3× 362 0.9× 270 0.8× 55 1.2k
Stuart C. Willis United States 16 677 0.8× 452 0.8× 245 0.6× 316 0.8× 346 1.0× 35 1.1k
Omár Domínguez‐Domínguez Mexico 21 856 1.0× 441 0.8× 319 0.8× 490 1.2× 526 1.5× 110 1.4k
Christopher M. Hollenbeck United States 14 427 0.5× 682 1.2× 423 1.0× 361 0.9× 209 0.6× 39 1.3k
Sten Karlsson Norway 19 804 1.0× 781 1.4× 276 0.6× 492 1.2× 243 0.7× 57 1.4k
Agnès Dettaı̈ France 24 675 0.8× 397 0.7× 750 1.8× 451 1.1× 318 0.9× 61 1.5k
Takahiko Mukai Japan 16 685 0.8× 467 0.8× 671 1.6× 338 0.8× 393 1.1× 43 1.3k
Peter M. Grewe Australia 26 809 1.0× 853 1.5× 713 1.7× 584 1.5× 435 1.2× 61 1.8k

Countries citing papers authored by David S. Portnoy

Since Specialization
Citations

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

Fields of papers citing papers by David S. Portnoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Portnoy. 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 David S. Portnoy. The network helps show where David S. Portnoy may publish in the future.

Co-authorship network of co-authors of David S. Portnoy

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Portnoy. A scholar is included among the top collaborators of David S. Portnoy 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 David S. Portnoy. David S. Portnoy 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.
Portnoy, David S., William B. Driggers, James Gelsleichter, et al.. (2025). Age and growth of spinner sharks, Carcharhinus brevipinna, in the western North Atlantic Ocean. Environmental Biology of Fishes. 109(1).
2.
Fields, Andrew T., et al.. (2025). Nonlethal, Epigenetic Age Estimation in a Freshwater Sportfish, Florida Bass ( Micropterus salmoides ). Ecology and Evolution. 15(11). e72495–e72495.
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Portnoy, David S., Shannon J. O’Leary, Andrew T. Fields, et al.. (2024). Complex patterns of genetic population structure in the mouthbrooding marine catfish, Bagre marinus, in the Gulf of Mexico and U.S. Atlantic. Ecology and Evolution. 14(6). e11514–e11514.
6.
Fields, Andrew T., William B. Driggers, Christian M. Jones, & David S. Portnoy. (2024). Population structure of the Atlantic angel shark (Squatina dumeril) in United States waters of the western North Atlantic Ocean. Environmental Biology of Fishes. 107(10). 1137–1153. 1 indexed citations
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Frazier, Bryan S., Andrew T. Fields, William B. Driggers, et al.. (2023). Age, Growth and Maturity of the Bonnethead Sphyrna tiburo in the U.S. Gulf of Mexico. Environmental Biology of Fishes. 106(7). 1597–1617. 3 indexed citations
9.
Patterson, William F., Kelly L. Robinson, Beverly K. Barnett, et al.. (2023). Evidence of population-level impacts and resiliency for Gulf of Mexico shelf taxa following the Deepwater Horizon oil spill. Frontiers in Marine Science. 10. 6 indexed citations
10.
Frazier, Bryan S., Douglas H. Adams, J. Marcus Drymon, et al.. (2022). Diet of the bonnethead (Sphyrna tiburo) along the northern Gulf of Mexico and southeastern Atlantic coast of the United States. Animal Biodiversity and Conservation. 257–267. 6 indexed citations
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Frazier, Bryan S., Douglas H. Adams, Carolyn Belcher, et al.. (2021). Distribution and relative abundance of scalloped (Sphyrna lewini) and Carolina (S. gilberti) hammerheads in the western North Atlantic Ocean. Fisheries Research. 242. 106039–106039. 7 indexed citations
13.
Putman, Nathan F., et al.. (2021). Map-like use of Earth’s magnetic field in sharks. Current Biology. 31(13). 2881–2886.e3. 37 indexed citations
14.
Adams, Douglas H., et al.. (2019). Hybridization between sympatric hammerhead sharks in the western North Atlantic Ocean. Biology Letters. 15(4). 20190004–20190004. 16 indexed citations
15.
Willis, Stuart C., Christopher M. Hollenbeck, Jonathan B. Puritz, John R. Gold, & David S. Portnoy. (2017). Haplotyping RAD loci: an efficient method to filter paralogs and account for physical linkage. Molecular Ecology Resources. 17(5). 955–965. 72 indexed citations
16.
Hogan, J. Derek, et al.. (2016). Kin-Aggregations Explain Chaotic Genetic Patchiness, a Commonly Observed Genetic Pattern, in a Marine Fish. PLoS ONE. 11(4). e0153381–e0153381. 41 indexed citations
17.
Hollenbeck, Christopher M., David S. Portnoy, & John R. Gold. (2016). A method for detecting recent changes in contemporary effective population size from linkage disequilibrium at linked and unlinked loci. Heredity. 117(4). 207–216. 54 indexed citations
18.
Hollenbeck, Christopher M., David S. Portnoy, & John R. Gold. (2014). A genetic linkage map of red drum (Sciaenops ocellatus) and comparison of chromosomal syntenies with four other fish species. Aquaculture. 435. 265–274. 19 indexed citations
19.
Portnoy, David S., Christopher M. Hollenbeck, Rodrigo Vidal, & John R. Gold. (2014). A Comparison of Neutral and Immune Genetic Variation in Atlantic Salmon, Salmo salar L. in Chilean Aquaculture Facilities. PLoS ONE. 9(6). e99358–e99358. 5 indexed citations
20.
Portnoy, David S., Christopher M. Hollenbeck, Mark A. Renshaw, Nancie J. Cummings, & John R. Gold. (2012). Does mating behaviour affect connectivity in marine fishes? Comparative population genetics of two protogynous groupers (Family Serranidae). Molecular Ecology. 22(2). 301–313. 21 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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