Gemma E. May

5.0k total citations
43 papers, 2.3k citations indexed

About

Gemma E. May is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Gemma E. May has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Virology. Recurrent topics in Gemma E. May's work include RNA Research and Splicing (14 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (13 papers). Gemma E. May is often cited by papers focused on RNA Research and Splicing (14 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (13 papers). Gemma E. May collaborates with scholars based in United States, Germany and Russia. Gemma E. May's co-authors include C. Joel McManus, Günter P. Wagner, Vincent J. Lynch, Pieter Spealman, Thomas C. Friedrich, Yizhu Lin, Gregory Gelembiuk, Carol Eunmi Lee, Levi Yant and David I. Watkins and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gemma E. May

43 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma E. May United States 24 1.3k 586 581 361 286 43 2.3k
Jan Fredrik Simons United States 17 1.2k 0.9× 264 0.5× 248 0.4× 627 1.7× 287 1.0× 25 2.7k
Stephen Baghdiguian France 25 1.1k 0.9× 304 0.5× 393 0.7× 170 0.5× 96 0.3× 63 2.1k
Helen Piontkivska United States 27 770 0.6× 359 0.6× 183 0.3× 381 1.1× 245 0.9× 79 2.1k
Alı́ Alejo Spain 22 427 0.3× 660 1.1× 251 0.4× 471 1.3× 99 0.3× 44 1.9k
Kenji Ohba Japan 23 697 0.6× 357 0.6× 184 0.3× 183 0.5× 381 1.3× 54 1.7k
Stefan Rothenburg United States 26 1.1k 0.8× 679 1.2× 579 1.0× 220 0.6× 225 0.8× 47 2.1k
Gavin S. Wilkie United Kingdom 28 1.4k 1.1× 358 0.6× 125 0.2× 274 0.8× 186 0.7× 55 2.7k
Odile Heidmann France 24 1.5k 1.2× 420 0.7× 231 0.4× 153 0.4× 941 3.3× 35 2.3k
Craig R. Brunetti Canada 23 560 0.4× 737 1.3× 511 0.9× 217 0.6× 217 0.8× 45 2.2k
Michael Frese Australia 28 668 0.5× 977 1.7× 148 0.3× 771 2.1× 108 0.4× 79 3.1k

Countries citing papers authored by Gemma E. May

Since Specialization
Citations

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

Fields of papers citing papers by Gemma E. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma E. May. 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 Gemma E. May. The network helps show where Gemma E. May may publish in the future.

Co-authorship network of co-authors of Gemma E. May

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma E. May. A scholar is included among the top collaborators of Gemma E. May 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 Gemma E. May. Gemma E. May 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.
May, Gemma E., et al.. (2025). Deciphering the landscape of cis-acting sequences in natural yeast transcript leaders. Nucleic Acids Research. 53(5). 2 indexed citations
2.
Brown, Ashley R., Irene M. Kaplow, Alyssa J. Lawler, et al.. (2025). An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function. Frontiers in Genetics. 16. 1533900–1533900. 2 indexed citations
3.
Do, Eunsoo, Gemma E. May, Robert Żarnowski, et al.. (2023). Reinforcement amid genetic diversity in the Candida albicans biofilm regulatory network. PLoS Pathogens. 19(1). e1011109–e1011109. 21 indexed citations
5.
May, Gemma E., et al.. (2022). False-positive IRESes from Hoxa9 and other genes resulting from errors in mammalian 5′ UTR annotations. Proceedings of the National Academy of Sciences. 119(36). e2122170119–e2122170119. 23 indexed citations
6.
Woolford, Carol A., Manning Y. Huang, Gemma E. May, et al.. (2020). Roles of Candida albicans Mig1 and Mig2 in glucose repression, pathogenicity traits, and SNF1 essentiality. PLoS Genetics. 16(1). e1008582–e1008582. 36 indexed citations
7.
Huang, Manning Y., Carol A. Woolford, Gemma E. May, C. Joel McManus, & Aaron P. Mitchell. (2019). Circuit diversification in a biofilm regulatory network. PLoS Pathogens. 15(5). e1007787–e1007787. 77 indexed citations
8.
Spealman, Pieter, et al.. (2017). Conserved non-AUG uORFs revealed by a novel regression analysis of ribosome profiling data. Genome Research. 28(2). 214–222. 60 indexed citations
9.
Stoiber, Marcus H., Sara Olson, Gemma E. May, et al.. (2015). Extensive cross-regulation of post-transcriptional regulatory networks in Drosophila. Genome Research. 25(11). 1692–1702. 19 indexed citations
10.
Brooks, Angela N., Michael O. Duff, Gemma E. May, et al.. (2015). Regulation of alternative splicing in Drosophila by 56 RNA binding proteins. Genome Research. 25(11). 1771–1780. 61 indexed citations
11.
Spealman, Pieter, Hao Wang, Gemma E. May, Carl Kingsford, & C. Joel McManus. (2015). Exploring Ribosome Positioning on Translating Transcripts with Ribosome Profiling. Methods in molecular biology. 1358. 71–97. 8 indexed citations
12.
Lin, Yizhu, Gemma E. May, & C. Joel McManus. (2015). Mod-seq. Methods in enzymology on CD-ROM/Methods in enzymology. 558. 125–152. 9 indexed citations
13.
Talkish, Jason, Gemma E. May, Yizhu Lin, John L. Woolford, & C. Joel McManus. (2014). Mod-seq: high-throughput sequencing for chemical probing of RNA structure. RNA. 20(5). 713–720. 149 indexed citations
14.
McManus, C. Joel, et al.. (2013). Ribosome profiling reveals post-transcriptional buffering of divergent gene expression in yeast. Genome Research. 24(3). 422–430. 153 indexed citations
15.
Smibert, Peter, Pedro Miura, Jakub Orzechowski Westholm, et al.. (2012). Global Patterns of Tissue-Specific Alternative Polyadenylation in Drosophila. Cell Reports. 1(3). 277–289. 187 indexed citations
16.
Lynch, Vincent J., et al.. (2011). Transposon-mediated rewiring of gene regulatory networks contributed to the evolution of pregnancy in mammals. Nature Genetics. 43(11). 1154–1159. 290 indexed citations
17.
May, Gemma E., Sara Olson, C. Joel McManus, & Brenton R. Graveley. (2010). Competing RNA secondary structures are required for mutually exclusive splicing of the Dscam exon 6 cluster. RNA. 17(2). 222–229. 51 indexed citations
18.
May, Gemma E., Gregory Gelembiuk, Vadim E. Panov, М. И. Орлова, & Carol Eunmi Lee. (2006). Molecular ecology of zebra mussel invasions. Molecular Ecology. 15(4). 1021–1031. 77 indexed citations
19.
Gelembiuk, Gregory, Gemma E. May, & Carol Eunmi Lee. (2006). Phylogeography and systematics of zebra mussels and related species. Molecular Ecology. 15(4). 1033–1050. 66 indexed citations
20.
Kaizu, Masahiko, Andrea M. Weiler, Kim L. Weisgrau, et al.. (2006). Repeated Intravaginal Inoculation with Cell‐Associated Simian Immunodeficiency Virus Results in Persistent Infection of Nonhuman Primates. The Journal of Infectious Diseases. 194(7). 912–916. 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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