Allison M. Porman

465 total citations
10 papers, 334 citations indexed

About

Allison M. Porman is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Allison M. Porman has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Allison M. Porman's work include Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (5 papers) and Fungal and yeast genetics research (3 papers). Allison M. Porman is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (5 papers) and Fungal and yeast genetics research (3 papers). Allison M. Porman collaborates with scholars based in United States and Mexico. Allison M. Porman's co-authors include Richard J. Bennett, Matthew P. Hirakawa, Kevin Alby, Stephen K. Jones, Eugenio Mancera, Justin T. Roberts, Aaron M. Johnson, Alexander D. Johnson, Christina A. Cuomo and Riyad N. H. Seervai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and PLoS Biology.

In The Last Decade

Allison M. Porman

10 papers receiving 332 citations

Peers

Allison M. Porman

EPIDE

Jaideep Mallick Canada

Po‐Chen Hsu Taiwan

Daniela Albrecht-Eckardt Germany

Manousos E. Kambouris Greece

Jiyoti Verma Australia

Kaname Sasamoto Japan

Andriy Petryshyn Austria

Yuichi Ichikawa Japan

Nicholas L. Tosini United States

Kenneth R. Finley United States

Jaideep Mallick Canada

Allison M. Porman

294 ×1.5

129 ×0.7

70 ×0.6

EPIDE

43 ×0.8

30 ×0.6

Citations per year, relative to Allison M. Porman Allison M. Porman (= 1×) peers Jaideep Mallick

Countries citing papers authored by Allison M. Porman

Since Specialization

Citations

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

Fields of papers citing papers by Allison M. Porman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison M. Porman. 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 Allison M. Porman. The network helps show where Allison M. Porman may publish in the future.

Co-authorship network of co-authors of Allison M. Porman

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

All Works

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10 of 10 papers shown

Porman, Allison M., Justin T. Roberts, Michelle A. Kennedy, et al.. (2022). A single N6-methyladenosine site regulates lncRNA HOTAIR function in breast cancer cells. PLoS Biology. 20(11). e3001885–e3001885. 32 indexed citations

Roberts, Justin T., Allison M. Porman, & Aaron M. Johnson. (2020). Identification of m ⁶ A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline. RNA. 27(4). 527–541. 19 indexed citations

Mancera, Eugenio, et al.. (2019). Genetic Modification of Closely Related Candida Species. Frontiers in Microbiology. 10. 357–357. 13 indexed citations

Balas, Maggie M., Allison M. Porman, Kirk C. Hansen, & Aaron M. Johnson. (2018). SILAC-MS Profiling of Reconstituted Human Chromatin Platforms for the Study of Transcription and RNA Regulation. Journal of Proteome Research. 17(10). 3475–3484. 2 indexed citations

Anderson, Matthew Z., Allison M. Porman, Na Wang, et al.. (2016). A Multistate Toggle Switch Defines Fungal Cell Fates and Is Regulated by Synergistic Genetic Cues. PLoS Genetics. 12(10). e1006353–e1006353. 19 indexed citations

Mancera, Eugenio, Allison M. Porman, Christina A. Cuomo, Richard J. Bennett, & Alexander D. Johnson. (2015). Finding a Missing Gene: EFG1 Regulates Morphogenesis in Candida tropicalis. G3 Genes Genomes Genetics. 5(5). 849–856. 37 indexed citations

Porman, Allison M., Matthew P. Hirakawa, Stephen K. Jones, Na Wang, & Richard J. Bennett. (2013). MTL–Independent Phenotypic Switching in Candida tropicalis and a Dual Role for Wor1 in Regulating Switching and Filamentation. PLoS Genetics. 9(3). e1003369–e1003369. 39 indexed citations

Seervai, Riyad N. H., Stephen K. Jones, Matthew P. Hirakawa, Allison M. Porman, & Richard J. Bennett. (2013). Parasexuality and Ploidy Change in Candida tropicalis. Eukaryotic Cell. 12(12). 1629–1640. 43 indexed citations

Porman, Allison M., Kevin Alby, Matthew P. Hirakawa, & Richard J. Bennett. (2011). Discovery of a phenotypic switch regulating sexual mating in the opportunistic fungal pathogen Candida tropicalis. Proceedings of the National Academy of Sciences. 108(52). 21158–21163. 102 indexed citations

10.

Maas, Stefan, et al.. (2011). Genome-wide evaluation and discovery of vertebrate A-to-I RNA editing sites. Biochemical and Biophysical Research Communications. 412(3). 407–412. 28 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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