Matthew D. MacManes

12.0k total citations
52 papers, 1.1k citations indexed

About

Matthew D. MacManes is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Matthew D. MacManes has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecology, 23 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Molecular Biology. Recurrent topics in Matthew D. MacManes's work include Physiological and biochemical adaptations (13 papers), Bat Biology and Ecology Studies (12 papers) and Genomics and Phylogenetic Studies (10 papers). Matthew D. MacManes is often cited by papers focused on Physiological and biochemical adaptations (13 papers), Bat Biology and Ecology Studies (12 papers) and Genomics and Phylogenetic Studies (10 papers). Matthew D. MacManes collaborates with scholars based in United States, China and Australia. Matthew D. MacManes's co-authors include Michael B. Eisen, Jocelyn P. Colella, Rebecca M. Calisi, Anna Tigano, Suzanne H. Austin, Andrew S. Lang, Eileen A. Lacey, Craig Moritz, Sonal Singhal and Ke Bi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Matthew D. MacManes

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew D. MacManes United States 19 409 392 335 300 90 52 1.1k
Ricardo Mallarino United States 17 168 0.4× 300 0.8× 490 1.5× 543 1.8× 77 0.9× 29 1.2k
Miguel Carneiro Portugal 27 444 1.1× 563 1.4× 450 1.3× 997 3.3× 132 1.5× 62 2.0k
Valeria Maselli Italy 22 237 0.6× 293 0.7× 170 0.5× 171 0.6× 94 1.0× 48 1.0k
Steven M. Van Belleghem Puerto Rico 19 200 0.5× 313 0.8× 488 1.5× 720 2.4× 78 0.9× 46 1.2k
Edward H. Burtt United States 17 627 1.5× 234 0.6× 744 2.2× 158 0.5× 107 1.2× 43 1.4k
Janet P. Crossland United States 12 155 0.4× 185 0.5× 263 0.8× 380 1.3× 68 0.8× 21 890
Cynthia Steiner United States 16 330 0.8× 508 1.3× 341 1.0× 664 2.2× 136 1.5× 36 1.5k
Ammon Corl United States 18 333 0.8× 259 0.7× 665 2.0× 400 1.3× 343 3.8× 31 1.3k
Erik van Bergen United Kingdom 13 333 0.8× 163 0.4× 545 1.6× 361 1.2× 137 1.5× 19 1.3k
Elizabeth S. C. Scordato United States 19 348 0.9× 125 0.3× 627 1.9× 482 1.6× 97 1.1× 32 1.2k

Countries citing papers authored by Matthew D. MacManes

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. MacManes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. MacManes

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. MacManes. A scholar is included among the top collaborators of Matthew D. MacManes 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 Matthew D. MacManes. Matthew D. MacManes 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.
Linderoth, Tyler, et al.. (2026). Selection-driven color variation in the aposematic strawberry poison frog, Oophaga pumilio. Current Biology. 36(6). 1355–1372.e8.
2.
Stuckert, Adam M. M., Mélanie McClure, Tyler Linderoth, et al.. (2024). The genomics of mimicry: Gene expression throughout development provides insights into convergent and divergent phenotypes in a Müllerian mimicry system. Molecular Ecology. 33(14). e17438–e17438. 2 indexed citations
3.
Colella, Jocelyn P., et al.. (2024). High total water loss driven by low-fat diet in desert-adapted mice. Journal of Mammalogy. 106(2). 293–303. 1 indexed citations
4.
Parise, Katy L., Tina L. Cheng, Joseph R. Hoyt, et al.. (2023). White-nose syndrome restructures bat skin microbiomes. Microbiology Spectrum. 11(6). e0271523–e0271523. 7 indexed citations
5.
Stuckert, Adam M. M., et al.. (2023). Transcriptomic analyses during development reveal mechanisms of integument structuring and color production. Evolutionary Ecology. 38(5). 657–678. 5 indexed citations
6.
MacManes, Matthew D., et al.. (2023). When the tap runs dry: the physiological effects of acute experimental dehydration in Peromyscus eremicus. Journal of Experimental Biology. 226(23). 3 indexed citations
7.
Colella, Jocelyn P., et al.. (2021). Disentangling environmental drivers of circadian metabolism in desert-adapted mice. Journal of Experimental Biology. 224(18). 5 indexed citations
8.
Austin, Suzanne H., H. Harris, Andrew S. Lang, et al.. (2021). Isolating the Role of Corticosterone in the Hypothalamic-Pituitary-Gonadal Transcriptomic Stress Response. Frontiers in Endocrinology. 12. 632060–632060. 15 indexed citations
9.
Tigano, Anna, Jocelyn P. Colella, & Matthew D. MacManes. (2020). Comparative and population genomics approaches reveal the basis of adaptation to deserts in a small rodent. Molecular Ecology. 29(7). 1300–1314. 34 indexed citations
10.
Colella, Jocelyn P., Anna Tigano, & Matthew D. MacManes. (2020). A linked‐read approach to museomics: Higher quality de novo genome assemblies from degraded tissues. Molecular Ecology Resources. 20(4). 856–870. 16 indexed citations
11.
Lang, Andrew S., Suzanne H. Austin, H. Harris, Rebecca M. Calisi, & Matthew D. MacManes. (2020). Stress-mediated convergence of splicing landscapes in male and female rock doves. BMC Genomics. 21(1). 251–251. 5 indexed citations
12.
MacManes, Matthew D.. (2018). The Oyster River Protocol: a multi-assembler and kmer approach for de novo transcriptome assembly. PeerJ. 6. e5428–e5428. 72 indexed citations
13.
Calisi, Rebecca M., Suzanne H. Austin, Andrew S. Lang, & Matthew D. MacManes. (2018). Sex-biased transcriptomic response of the reproductive axis to stress. Hormones and Behavior. 100. 56–68. 21 indexed citations
14.
Bergeron, R. Daniel, et al.. (2017). PALADIN: protein alignment for functional profiling whole metagenome shotgun data. Bioinformatics. 33(10). 1473–1478. 30 indexed citations
15.
MacManes, Matthew D.. (2017). Severe acute dehydration in a desert rodent elicits a transcriptional response that effectively prevents kidney injury. American Journal of Physiology-Renal Physiology. 313(2). F262–F272. 33 indexed citations
16.
MacManes, Matthew D., et al.. (2017). Widespread patterns of sexually dimorphic gene expression in an avian hypothalamic–pituitary–gonadal (HPG) axis. Scientific Reports. 7(1). 45125–45125. 39 indexed citations
17.
MacManes, Matthew D.. (2014). On the optimal trimming of high-throughput mRNA sequence data. Frontiers in Genetics. 5. 13–13. 139 indexed citations
18.
MacManes, Matthew D. & Eileen A. Lacey. (2012). Is Promiscuity Associated with Enhanced Selection on MHC-DQα in Mice (genus Peromyscus)?. PLoS ONE. 7(5). e37562–e37562. 9 indexed citations
19.
20.
MacManes, Matthew D.. (2011). Promiscuity in mice is associated with increased vaginal bacterial diversity. Die Naturwissenschaften. 98(11). 951–960. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ricardo Mallarino Breakdown of academic impact, for papers by Miguel Carneiro Breakdown of academic impact, for papers by Valeria Maselli Breakdown of academic impact, for papers by Steven M. Van Belleghem Breakdown of academic impact, for papers by Edward H. Burtt Breakdown of academic impact, for papers by Janet P. Crossland Breakdown of academic impact, for papers by Cynthia Steiner Breakdown of academic impact, for papers by Ammon Corl Breakdown of academic impact, for papers by Erik van Bergen Breakdown of academic impact, for papers by Elizabeth S. C. Scordato
Rankless by CCL
2026