Jeremy D. Glasner

13.7k total citations · 1 hit paper
42 papers, 8.9k citations indexed

About

Jeremy D. Glasner is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Jeremy D. Glasner has authored 42 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Plant Science and 12 papers in Genetics. Recurrent topics in Jeremy D. Glasner's work include Genomics and Phylogenetic Studies (11 papers), Plant Pathogenic Bacteria Studies (11 papers) and Plant-Microbe Interactions and Immunity (9 papers). Jeremy D. Glasner is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Plant Pathogenic Bacteria Studies (11 papers) and Plant-Microbe Interactions and Immunity (9 papers). Jeremy D. Glasner collaborates with scholars based in United States, United Kingdom and Mexico. Jeremy D. Glasner's co-authors include Nicole T. Perna, Frederick R. Blattner, Bob Mau, Julio Collado‐Vides, Guy Plunkett, George F. Mayhew, Christopher K. Rode, Craig A. Bloch, Debra J. Rose and J. W. GREGOR and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Jeremy D. Glasner

42 papers receiving 8.6k citations

Hit Papers

The Complete Genome Sequence of Escherichia coli K-12 1997 2026 2006 2016 1997 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy D. Glasner United States 26 5.9k 3.0k 1.7k 1.5k 1.1k 42 8.9k
Ying Shao China 30 6.5k 1.1× 2.9k 1.0× 1.4k 0.9× 1.5k 1.0× 1.1k 0.9× 114 9.6k
Debra J. Rose United States 19 5.1k 0.9× 3.1k 1.0× 1.9k 1.2× 678 0.4× 1.6k 1.4× 20 7.9k
Franz Narberhaus Germany 48 4.9k 0.8× 2.3k 0.8× 1.1k 0.7× 1.1k 0.7× 710 0.6× 178 7.0k
Julio Collado‐Vides Mexico 39 10.2k 1.7× 5.2k 1.7× 2.2k 1.3× 1.3k 0.8× 1.2k 1.1× 124 13.1k
Miguel Vicente Spain 46 3.7k 0.6× 3.3k 1.1× 1.6k 1.0× 918 0.6× 600 0.5× 95 5.9k
Martin Buck United Kingdom 55 6.6k 1.1× 4.1k 1.4× 1.9k 1.1× 1.1k 0.7× 587 0.5× 240 9.6k
Jörn Kalinowski Germany 58 9.9k 1.7× 2.4k 0.8× 1.2k 0.7× 2.2k 1.4× 690 0.6× 435 14.3k
Colin Manoil United States 44 6.3k 1.1× 3.9k 1.3× 1.6k 1.0× 835 0.5× 1.6k 1.4× 85 9.1k
Tracy Palmer United Kingdom 59 7.2k 1.2× 4.8k 1.6× 3.5k 2.1× 951 0.6× 798 0.7× 179 10.9k
George F. Mayhew United States 20 5.7k 1.0× 3.5k 1.2× 1.9k 1.1× 915 0.6× 2.1k 1.9× 26 9.2k

Countries citing papers authored by Jeremy D. Glasner

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy D. Glasner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy D. Glasner

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy D. Glasner. A scholar is included among the top collaborators of Jeremy D. Glasner 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 Jeremy D. Glasner. Jeremy D. Glasner 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.
Perna, Nicole T., Jeremy D. Glasner, Jianjun Hao, et al.. (2019). Complete Genome Sequence of Dickeya dianthicola ME23, a Pathogen Causing Blackleg and Soft Rot Diseases of Potato. Microbiology Resource Announcements. 8(7). 11 indexed citations
2.
Ma, Bing, Amy O. Charkowski, Jeremy D. Glasner, & Nicole T. Perna. (2014). Identification of host-microbe interaction factors in the genomes of soft rot-associated pathogens Dickeya dadantii 3937 and Pectobacterium carotovorum WPP14 with supervised machine learning. BMC Genomics. 15(1). 508–508. 12 indexed citations
3.
Babujee, Lavanya, Jennifer Apodaca, Patricia J. Kiley, et al.. (2012). Evolution of the metabolic and regulatory networks associated with oxygen availability in two phytopathogenic enterobacteria. BMC Genomics. 13(1). 33 indexed citations
4.
Baumler, David J., et al.. (2011). The evolution of metabolic networks of E. coli. BMC Systems Biology. 5(1). 182–182. 54 indexed citations
6.
Rissman, Anna I., Bob Mau, B. S. Biehl, et al.. (2009). Reordering contigs of draft genomes using the Mauve Aligner. Bioinformatics. 25(16). 2071–2073. 451 indexed citations
7.
Zaremba, Sam, Thomas H. Hampton, J. M. Greene, et al.. (2009). Text-mining of PubMed abstracts by natural language processing to create a public knowledge base on molecular mechanisms of bacterial enteropathogens. BMC Bioinformatics. 10(1). 177–177. 16 indexed citations
8.
Glasner, Jeremy D., Courtney E. Jahn, Bing Ma, et al.. (2008). Niche-Specificity and the Variable Fraction of the Pectobacterium Pan-Genome. Molecular Plant-Microbe Interactions. 21(12). 1549–1560. 91 indexed citations
9.
Bok, Jin Woo, Dirk Hoffmeister, Lori A. Maggio‐Hall, et al.. (2006). Genomic Mining for Aspergillus Natural Products. Chemistry & Biology. 13(1). 31–37. 275 indexed citations
11.
Anderson, Bradley D., Michael C. Gilson, B. S. Biehl, et al.. (2006). CGHScan: finding variable regions using high-density microarray comparative genomic hybridization data. BMC Genomics. 7(1). 91–91. 4 indexed citations
12.
Glasner, Jeremy D.. (2005). ASAP: a resource for annotating, curating, comparing, and disseminating genomic data. Nucleic Acids Research. 34(90001). D41–D45. 51 indexed citations
13.
Wu, Chia‐Wei, Jeremy D. Glasner, Michael T. Collins, Saleh A. Naser, & Adel M. Talaat. (2005). Whole-Genome Plasticity among Mycobacterium avium Subspecies: Insights from Comparative Genomic Hybridizations. Journal of Bacteriology. 188(2). 711–723. 56 indexed citations
14.
Kang, Yisheng, Tim Durfee, Jeremy D. Glasner, et al.. (2004). Systematic Mutagenesis of the Escherichia coli Genome. Journal of Bacteriology. 186(15). 4921–4930. 162 indexed citations
15.
Rajashekara, Gireesh, et al.. (2004). Comparative Whole-Genome Hybridization Reveals Genomic Islands inBrucellaSpecies. Journal of Bacteriology. 186(15). 5040–5051. 90 indexed citations
16.
Herring, Christopher D., Jeremy D. Glasner, & Frederick R. Blattner. (2003). Gene replacement without selection: regulated suppression of amber mutations in Escherichia coli. Gene. 311. 153–163. 132 indexed citations
17.
Gutiérrez-Ríos, Rosa-María, David A. Rosenblueth, Araceli M. Huerta, et al.. (2003). Regulatory Network of Escherichia coli: Consistency Between Literature Knowledge and Microarray Profiles. Genome Research. 13(11). 2435–2443. 94 indexed citations
18.
Bockhorst, Joseph, Yu Qiu, Jeremy D. Glasner, et al.. (2003). Predicting bacterial transcription units using sequence and expression data. Bioinformatics. 19(suppl_1). i34–i43. 51 indexed citations
19.
Molla, Michael, et al.. (2002). Interpreting microarray expression data using text annotating the genes. Information Sciences. 146(1-4). 75–88. 4 indexed citations
20.
Craven, Mark, David Page, Jude Shavlik, Joseph Bockhorst, & Jeremy D. Glasner. (2000). Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. International Conference on Machine Learning. 199–206. 3 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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