Keely Dulmage

666 total citations
9 papers, 472 citations indexed

About

Keely Dulmage is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Keely Dulmage has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Oncology. Recurrent topics in Keely Dulmage's work include Genomics and Phylogenetic Studies (4 papers), Antifungal resistance and susceptibility (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Keely Dulmage is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Antifungal resistance and susceptibility (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Keely Dulmage collaborates with scholars based in United States, Germany and Canada. Keely Dulmage's co-authors include Judith Berman, James B. Anderson, Anna Selmecki, Leah E. Cowen, Maryam Gerami‐Nejad, Amy Schmid, Horia Todor, Matthew Z. Anderson, Joshua A. Baller and James R. Bain and has published in prestigious journals such as Scientific Reports, Molecular Microbiology and PLoS Genetics.

In The Last Decade

Keely Dulmage

9 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keely Dulmage United States 8 250 175 143 104 82 9 472
Bharat Rash United Kingdom 11 303 1.2× 114 0.7× 79 0.6× 103 1.0× 91 1.1× 14 474
Markéta Řičicová Canada 9 289 1.2× 189 1.1× 101 0.7× 43 0.4× 24 0.3× 9 494
Dong Liang United States 12 247 1.0× 113 0.6× 42 0.3× 79 0.8× 32 0.4× 27 444
Karthik Krishnan United States 14 331 1.3× 141 0.8× 93 0.7× 127 1.2× 44 0.5× 20 486
Michiyo Okamoto Japan 15 405 1.6× 225 1.3× 216 1.5× 83 0.8× 16 0.2× 32 720
Miguel Shingú-Vázquez Australia 12 424 1.7× 151 0.9× 123 0.9× 64 0.6× 31 0.4× 13 652
Sudeep D. Agarwala United States 5 1.0k 4.1× 212 1.2× 147 1.0× 133 1.3× 102 1.2× 6 1.3k
Josée Ash Canada 10 393 1.6× 236 1.3× 170 1.2× 115 1.1× 14 0.2× 10 588
Matthew J. Eckwahl United States 12 468 1.9× 62 0.4× 69 0.5× 35 0.3× 26 0.3× 13 541
Habib M. Alloush United Kingdom 10 267 1.1× 166 0.9× 79 0.6× 71 0.7× 19 0.2× 17 449

Countries citing papers authored by Keely Dulmage

Since Specialization
Citations

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

Fields of papers citing papers by Keely Dulmage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keely Dulmage. 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 Keely Dulmage. The network helps show where Keely Dulmage may publish in the future.

Co-authorship network of co-authors of Keely Dulmage

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

All Works

9 of 9 papers shown
1.
Hwang, Sungmin, Guangyin Zhou, Keely Dulmage, et al.. (2025). Genomic re-sequencing reveals mutational divergence across genetically engineered strains of model archaea. mSystems. 10(2). e0108424–e0108424. 2 indexed citations
2.
Bhagwat, Neha, Keely Dulmage, Charles H. Pletcher, et al.. (2018). An integrated flow cytometry-based platform for isolation and molecular characterization of circulating tumor single cells and clusters. Scientific Reports. 8(1). 5035–5035. 59 indexed citations
3.
Dulmage, Keely, Cynthia L. Darnell, Angie Vreugdenhil, & Amy Schmid. (2018). Copy number variation is associated with gene expression change in archaea. Microbial Genomics. 4(9). 12 indexed citations
4.
Yu, Liping, Silin Sa, Ling Wang, et al.. (2018). An integrated enrichment system to facilitate isolation and molecular characterization of single cancer cells from whole blood. Cytometry Part A. 93(12). 1226–1233. 11 indexed citations
5.
Dulmage, Keely, Horia Todor, & Amy Schmid. (2015). Growth-Phase-Specific Modulation of Cell Morphology and Gene Expression by an Archaeal Histone Protein. mBio. 6(5). e00649–15. 25 indexed citations
6.
Todor, Horia, et al.. (2014). A transcription factor links growth rate and metabolism in the hypersaline adapted archaeon Halobacterium salinarum. Molecular Microbiology. 93(6). 1172–1182. 33 indexed citations
7.
Anderson, Matthew Z., et al.. (2012). The Three Clades of the Telomere-Associated TLO Gene Family of Candida albicans Have Different Splicing, Localization, and Expression Features. Eukaryotic Cell. 11(10). 1268–1275. 33 indexed citations
8.
Gerami‐Nejad, Maryam, Keely Dulmage, & Judith Berman. (2009). Additional cassettes for epitope and fluorescent fusion proteins in Candida albicans. Yeast. 26(7). 399–406. 57 indexed citations
9.
Selmecki, Anna, Keely Dulmage, Leah E. Cowen, James B. Anderson, & Judith Berman. (2009). Acquisition of Aneuploidy Provides Increased Fitness during the Evolution of Antifungal Drug Resistance. PLoS Genetics. 5(10). e1000705–e1000705. 240 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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2026