Eric S. Haag

3.1k total citations
57 papers, 2.0k citations indexed

About

Eric S. Haag is a scholar working on Genetics, Aging and Molecular Biology. According to data from OpenAlex, Eric S. Haag has authored 57 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 30 papers in Aging and 19 papers in Molecular Biology. Recurrent topics in Eric S. Haag's work include Genetics, Aging, and Longevity in Model Organisms (30 papers), Evolution and Genetic Dynamics (19 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Eric S. Haag is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (30 papers), Evolution and Genetic Dynamics (19 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Eric S. Haag collaborates with scholars based in United States, Canada and United Kingdom. Eric S. Haag's co-authors include John True, Judith Kimble, Gavin C. Woodruff, Cristel G. Thomas, Rudolf A. Raff, Scott E. Baird, Shanping Wang, David B. Pilgrim, Carlos Egydio de Carvalho and Onyinyechi Eke and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Eric S. Haag

56 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Haag United States 24 1.0k 871 838 427 313 57 2.0k
Charles F. Baer United States 22 1.3k 1.3× 433 0.5× 738 0.9× 316 0.7× 399 1.3× 55 2.1k
Karin Kiontke United States 21 611 0.6× 1.1k 1.2× 574 0.7× 551 1.3× 183 0.6× 38 1.9k
John H. Willis United States 25 1.3k 1.2× 377 0.4× 1.4k 1.7× 532 1.2× 764 2.4× 39 2.8k
André Pires‐daSilva United States 20 317 0.3× 355 0.4× 532 0.6× 307 0.7× 111 0.4× 41 1.2k
Christian Rödelsperger Germany 32 700 0.7× 942 1.1× 942 1.1× 949 2.2× 180 0.6× 91 2.5k
Alyson Ashe Australia 19 807 0.8× 582 0.7× 1.5k 1.8× 442 1.0× 165 0.5× 30 2.2k
Christian Braendle France 28 1.1k 1.1× 1.3k 1.5× 782 0.9× 574 1.3× 755 2.4× 58 3.2k
Larissa L. Vassilieva United States 8 977 0.9× 337 0.4× 536 0.6× 165 0.4× 231 0.7× 9 1.3k
Henrique Teotónio United States 21 845 0.8× 355 0.4× 251 0.3× 106 0.2× 400 1.3× 42 1.3k
Michael M. Magwire United States 22 934 0.9× 254 0.3× 534 0.6× 288 0.7× 342 1.1× 25 1.9k

Countries citing papers authored by Eric S. Haag

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Haag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric S. Haag

This figure shows the co-authorship network connecting the top 25 collaborators of Eric S. Haag. A scholar is included among the top collaborators of Eric S. Haag 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 Eric S. Haag. Eric S. Haag 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.
Turdiev, Asan, et al.. (2025). Male secreted short glycoproteins link sperm competition to the reproductive isolation of species. Current Biology. 35(4). 911–917.e5. 1 indexed citations
2.
Li, Chengyu, et al.. (2023). Genetic tools for the study of the mangrove killifish, Kryptolebias marmoratus , an emerging vertebrate model for phenotypic plasticity. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 342(3). 164–177. 1 indexed citations
3.
Wray, Gregory A. & Eric S. Haag. (2019). Rudolf A. Raff (1941–2019). Nature Ecology & Evolution. 3(4). 518–519. 1 indexed citations
4.
Schwarz, Erich M., Cristel G. Thomas, Ian Korf, et al.. (2018). Rapid genome shrinkage in a self-fertile nematode reveals sperm competition proteins. Science. 359(6371). 55–61. 75 indexed citations
5.
Haag, Eric S., David Fitch, & Marie Delattre. (2018). From “the Worm” to “the Worms” and Back Again: The Evolutionary Developmental Biology of Nematodes. Genetics. 210(2). 397–433. 41 indexed citations
6.
Hu, Shuang, Lauren E. Skelly, Te‐Wen Lo, et al.. (2018). Multi-modal regulation of C. elegans hermaphrodite spermatogenesis by the GLD-1-FOG-2 complex. Developmental Biology. 446(2). 193–205. 13 indexed citations
7.
Haag, Eric S., et al.. (2017). Revisiting Suppression of Interspecies Hybrid Male Lethality in Caenorhabditis Nematodes. G3 Genes Genomes Genetics. 7(4). 1211–1214. 5 indexed citations
8.
Haag, Eric S. & Karen Dyson. (2014). Trade‐off between safety and feeding in the sea anemone Anthopleura aureoradiata. New Zealand Journal of Marine and Freshwater Research. 48(4). 540–546. 6 indexed citations
9.
Beadell, Alana V. & Eric S. Haag. (2014). Evolutionary Dynamics of GLD-1–mRNA Complexes in Caenorhabditis Nematodes. Genome Biology and Evolution. 7(1). 314–335. 5 indexed citations
10.
Stumpf, Craig R., et al.. (2012). Context-dependent function of a conserved translational regulatory module. Development. 139(8). 1509–1521. 21 indexed citations
11.
Thomas, Cristel G., Gavin C. Woodruff, & Eric S. Haag. (2012). Causes and consequences of the evolution of reproductive mode in Caenorhabditis nematodes. Trends in Genetics. 28(5). 213–220. 37 indexed citations
12.
Beadell, Alana V., et al.. (2011). Independent recruitments of a translational regulator in the evolution of self-fertile nematodes. Proceedings of the National Academy of Sciences. 108(49). 19672–19677. 31 indexed citations
13.
Koboldt, Daniel C., Scott E. Baird, Helen Chamberlin, et al.. (2010). A toolkit for rapid gene mapping in the nematode Caenorhabditis briggsae. BMC Genomics. 11(1). 236–236. 36 indexed citations
14.
Haag, Eric S., et al.. (2009). A sensitized genetic background reveals evolution near the terminus of the Caenorhabditis germline sex determination pathway. Evolution & Development. 11(4). 333–342. 20 indexed citations
15.
Barrière, Antoine, et al.. (2009). Detecting heterozygosity in shotgun genome assemblies: Lessons from obligately outcrossing nematodes. Genome Research. 19(3). 470–480. 72 indexed citations
16.
Carvalho, Carlos Egydio de, et al.. (2008). Comparative Genetics of Sex Determination: Masculinizing Mutations in Caenorhabditis briggsae. Genetics. 178(3). 1415–1429. 31 indexed citations
17.
Carvalho, Carlos Egydio de, et al.. (2006). Genetic Flexibility in the Convergent Evolution of Hermaphroditism in Caenorhabditis Nematodes. Developmental Cell. 10(4). 531–538. 96 indexed citations
18.
Haag, Eric S., et al.. (2005). Sex Determination across Evolution: Connecting the Dots. PLoS Biology. 3(1). e21–e21. 57 indexed citations
19.
Haag, Eric S., Shanping Wang, & Judith Kimble. (2002). Rapid Coevolution of the Nematode Sex-Determining Genes fem-3 and tra-2. Current Biology. 12(23). 2035–2041. 83 indexed citations
20.
Haag, Eric S. & John True. (2001). PERSPECTIVE: FROM MUTANTS TO MECHANISMS? ASSESSING THE CANDIDATE GENE PARADIGM IN EVOLUTIONARY BIOLOGY. Evolution. 55(6). 1077–1084. 44 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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