Keith M. Derbyshire

3.6k total citations
59 papers, 2.6k citations indexed

About

Keith M. Derbyshire is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Keith M. Derbyshire has authored 59 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 31 papers in Molecular Biology and 28 papers in Infectious Diseases. Recurrent topics in Keith M. Derbyshire's work include Mycobacterium research and diagnosis (32 papers), Tuberculosis Research and Epidemiology (28 papers) and Bacterial Genetics and Biotechnology (18 papers). Keith M. Derbyshire is often cited by papers focused on Mycobacterium research and diagnosis (32 papers), Tuberculosis Research and Epidemiology (28 papers) and Bacterial Genetics and Biotechnology (18 papers). Keith M. Derbyshire collaborates with scholars based in United States, United Kingdom and Canada. Keith M. Derbyshire's co-authors include Nigel D. F. Grindley, Todd A. Gray, M. Joan Curcio, Neil Willetts, Joseph C. Kowalski, Norma P. Tavakoli, Sarah M. Fortune, Joseph J. Salvo, Brian P. Callahan and Graham F. Hatfull and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Keith M. Derbyshire

57 papers receiving 2.6k citations

Peers

Countries citing papers authored by Keith M. Derbyshire

Since Specialization

Citations

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

Fields of papers citing papers by Keith M. Derbyshire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith M. Derbyshire

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	WhiB6 Transduces Contact‐Dependent Signaling in Mycobacterium smegmati s and Coordinately Induces Both ESX‐1 and ESX‐4 2025 ·Molecular Microbiology ·(unknown), E. Gordon, (unknown), Erica Lasek‐Nesselquist, (unknown), (unknown), (unknown), Benjamin M. Swarts, Matthew M. Champion, Keith M. Derbyshire, Todd A. Gray	0
2	Pervasive translation in Mycobacterium tuberculosis 2022 ·eLife ·Carol Smith, (unknown), (unknown), Matthew M. Champion, Keith M. Derbyshire, Todd A. Gray, Joseph T. Wade	27
3	Fluorescence Imaging-Based Discovery of Membrane Domain-Associated Proteins in Mycobacterium smegmatis 2021 ·Journal of Bacteriology ·(unknown), James R. Brenner, (unknown), (unknown), Jemila C. Kester, (unknown), (unknown), (unknown), (unknown), Joseph T. Wade, Todd A. Gray, Keith M. Derbyshire, Sarah M. Fortune, Yasu S. Morita	5
4	Spatiotemporal localization of proteins in mycobacteria 2021 ·Cell Reports ·Junhao Zhu, (unknown), Charles L. Dulberger, (unknown), Jemila C. Kester, Julius Judd, (unknown), Ryan R. Clark, Yawei Li, Yuan Luo, Todd A. Gray, Joseph T. Wade, Keith M. Derbyshire, Sarah M. Fortune, Eric J. Rubin	18
5	Polycysteine‐encoding leaderless short ORFs function as cysteine‐responsive attenuators of operonic gene expression in mycobacteria 2020 ·Molecular Microbiology ·(unknown), Erica Lasek‐Nesselquist, Ashutosh Upadhyay‬, (unknown), Matthew M. Champion, Joseph T. Wade, Keith M. Derbyshire, Todd A. Gray	14
6	Zinc depletion induces ribosome hibernation in mycobacteria 2018 ·Proceedings of the National Academy of Sciences ·Yunlong Li, Manjuli R. Sharma, Ravi Kiran Koripella, (unknown), P.S. Kaushal, Qishan Lin, Joseph T. Wade, Todd A. Gray, Keith M. Derbyshire, Rajendra K. Agrawal, Anil K. Ojha	59
7	Intercellular communication and conjugation are mediated by ESX secretion systems in mycobacteria 2016 ·Science ·Todd A. Gray, Ryan R. Clark, Nathalie Boucher, Pascal Lapierre, Carol Smith, Keith M. Derbyshire	66
8	Leaderless Transcripts and Small Proteins Are Common Features of the Mycobacterial Translational Landscape 2015 ·PLoS Genetics ·Scarlet S. Shell, Jing Wang, Pascal Lapierre, Mushtaq Ahmad Mir, Michael R. Chase, (unknown), Richa Gawande, Rushdy Ahmad, David Sarracino, Thomas R. Ioerger, Sarah M. Fortune, Keith M. Derbyshire, Joseph T. Wade, Todd A. Gray	169
9	Polar assembly and scaffolding proteins of the virulence‐associated ESX‐1 secretory apparatus in mycobacteria 2012 ·Molecular Microbiology ·(unknown), (unknown), Bree B. Aldridge, Sarah M. Fortune, Marta Fernández-Suárez, Todd A. Gray, Keith M. Derbyshire	22
10	Nanotubes: Shaking Hands, Talking, or Sharing? 2011 ·Frontiers in Microbiology ·Babak Javid, Keith M. Derbyshire	1
11	Systematic Genetic Nomenclature for Type VII Secretion Systems 2009 ·PLoS Pathogens ·Wilbert Bitter, Edith N. G. Houben, (unknown), Priscille Brodin, Eric J. Brown, Jeffery S. Cox, Keith M. Derbyshire, Sarah M. Fortune, Lian‐Yong Gao, Jun Liu, Nicolaas C. Gey van Pittius, Alexander S. Pym, Eric J. Rubin, David R. Sherman, Stewart T. Cole, Roland Brosch	258
12	Chromosomal DNA transfer in Mycobacterium smegmatis is mechanistically different from classical Hfr chromosomal DNA transfer 2005 ·Molecular Microbiology ·Jun Wang, (unknown), Carter M. Takacs, Joseph C. Kowalski, Keith M. Derbyshire	40
13	Transposition is modulated by a diverse set of host factors in Escherichia coli and is stimulated by nutritional stress 2005 ·Molecular Microbiology ·(unknown), (unknown), Norma P. Tavakoli, Keith M. Derbyshire	82
14	The RD1 virulence locus of Mycobacterium tuberculosis regulates DNA transfer in Mycobacterium smegmatis 2004 ·Proceedings of the National Academy of Sciences ·(unknown), Joseph C. Kowalski, (unknown), Keith M. Derbyshire	110
15	Unconventional conjugal DNA transfer in mycobacteria 2003 ·Nature Genetics ·Jun Wang, Linda M. Parsons, Keith M. Derbyshire	27
16	Anatomy of a preferred target site for the bacterial insertion sequence IS90311Edited by M. Gottesman 2001 ·Journal of Molecular Biology ·Wen-Yuan Hu, William A. Thompson, Charles E. Lawrence, Keith M. Derbyshire	20
17	Construction and application of mycobacterial reporter transposons 2000 ·Gene ·Edith E. Machowski, Ruth A. McAdam, Keith M. Derbyshire, Valerie Mizrahi	11
18	IS903 transposase mutants that suppress defective inverted repeats 1999 ·Molecular Microbiology ·Norma P. Tavakoli, Keith M. Derbyshire	10
19	Defining functional regions of the IS903 transposase 1997 ·Journal of Molecular Biology ·Norma P. Tavakoli, (unknown), Keith M. Derbyshire	14
20	Mobilization of the non-conjugative plasmid RSF1010: A genetic analysis of its origin of transfer 1987 ·Molecular and General Genetics MGG ·Keith M. Derbyshire, Neil Willetts	1

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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