Kyle R. Allison

4.6k citations
14 papers · 3.3k indexed · 3 hit papers · h-index 9

Impact in

Papers in

Kyle R. Allison

13 papers receiving 3.2k citations

Hit Papers

Antibiotics induce redox-related physiological alterations as part of their lethality 2014 · 695 citations
69520112026201620212505007501000

Peers

Kyle R. Allison
Comparison fields: 5 of 154
  • Molecular Medicine 827
  • Endocrinology 351
  • Microbiology 199
  • Molecular Biology 2.1k
  • Genetics 778
Replace Boris Hayete with:
Boris Hayete United States
Mario Juhas Switzerland
Ahmad S. Khalil United States
Konstantinos Beis United Kingdom
Emma Griffiths Canada
Raphaël Leplae Belgium
G. Minasov United States
Dijun Du United Kingdom
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Kyle R. Allison relative to Boris Hayete United States Boris Hayete's profile →
Citations per field
00.5×
Boris Hayete · 1×
Citations per year

Countries citing papers authored by Kyle R. Allison

Since Specialization
Citations

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

Fields of papers citing papers by Kyle R. Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle R. Allison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kyle R. Allison Line = papers co-authored together Kyle R. Allison links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20242
2 202310
3 20230
4 20232
5 202214
6 202045
7
Antibiotics induce redox-related physiological alterations as part of their lethality
Hit paper breakdown →
2014695
8 2013138
9 2012335
10
Wisdom of crowds for robust gene network inference
Hit paper breakdown →
20121110
11 20125
12
Metabolite-enabled eradication of bacterial persisters by aminoglycosides
Hit paper breakdown →
2011760
13 2011147
14 20096

About Kyle R. Allison

Kyle R. Allison is a scholar working on Molecular Medicine, Endocrinology, General Dentistry, Genetics and Biophysics, having authored 14 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Bacterial biofilms and quorum sensing (7 papers), Antibiotic Resistance in Bacteria (5 papers), Microbial Community Ecology and Physiology (3 papers), Vibrio bacteria research studies (2 papers), Gene Regulatory Network Analysis (2 papers), Escherichia coli research studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Medicine (827 citations), Endocrinology (351 citations), Microbiology (199 citations), Molecular Biology (2.1k citations) and Genetics (778 citations). Kyle R. Allison has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James J. Collins, Mark P. Brynildsen, Nic M. Vega, Ahmad S. Khalil, James C. Costello, Daniel Marbach, Robert Küffner, Robert J. Prill, Manolis Kellis and Diogo M. Camacho. Their work appears in journals such as Proceedings of the National Academy of Sciences, iScience, Nature Methods, Ozone Science and Engineering and Nature.

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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