John D. Helmann

26.4k total citations · 5 hit papers
241 papers, 21.0k citations indexed

About

John D. Helmann is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, John D. Helmann has authored 241 papers receiving a total of 21.0k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Genetics, 144 papers in Molecular Biology and 71 papers in Ecology. Recurrent topics in John D. Helmann's work include Bacterial Genetics and Biotechnology (159 papers), Bacteriophages and microbial interactions (68 papers) and RNA and protein synthesis mechanisms (66 papers). John D. Helmann is often cited by papers focused on Bacterial Genetics and Biotechnology (159 papers), Bacteriophages and microbial interactions (68 papers) and RNA and protein synthesis mechanisms (66 papers). John D. Helmann collaborates with scholars based in United States, Germany and China. John D. Helmann's co-authors include Michael J. Chamberlin, Jin‐Won Lee, Ahmed Gaballa, Thorsten Mascher, Haike Antelmann, Pete Chandrangsu, Mayuree Fuangthong, Min Cao, Tao Wang and Pieter L. deHaseth and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John D. Helmann

237 papers receiving 20.8k citations

Hit Papers

STRUCTURE AND FUNCTION OF... 1988 2026 2000 2013 1988 2006 2017 2002 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John D. Helmann 12.5k 8.7k 4.5k 3.2k 2.4k 241 21.0k
Gisela Storz 21.6k 1.7× 9.2k 1.1× 5.6k 1.3× 1.3k 0.4× 2.6k 1.1× 148 28.2k
Barry L. Wanner 19.5k 1.6× 13.3k 1.5× 4.9k 1.1× 951 0.3× 2.1k 0.9× 111 29.5k
Ian T. Paulsen 11.5k 0.9× 3.7k 0.4× 4.6k 1.0× 899 0.3× 2.8k 1.2× 312 22.7k
Christopher F. Higgins 12.7k 1.0× 6.6k 0.8× 2.8k 0.6× 1.3k 0.4× 1.7k 0.7× 166 22.1k
Jeffrey H Miller 30.8k 2.5× 17.7k 2.0× 6.5k 1.4× 922 0.3× 5.2k 2.2× 180 41.6k
Arnold J. M. Driessen 17.6k 1.4× 8.2k 0.9× 3.9k 0.9× 1.3k 0.4× 1.5k 0.6× 451 24.5k
Michael Hecker 16.9k 1.4× 9.3k 1.1× 5.4k 1.2× 589 0.2× 1.9k 0.8× 463 24.6k
Christian Cambillau 11.5k 0.9× 3.0k 0.3× 3.6k 0.8× 680 0.2× 1.2k 0.5× 347 20.0k
Kirill A. Datsenko 14.6k 1.2× 9.8k 1.1× 3.5k 0.8× 663 0.2× 1.0k 0.4× 38 21.2k
Eduardo A. Groisman 9.0k 0.7× 7.0k 0.8× 3.9k 0.9× 1.3k 0.4× 1.6k 0.7× 195 20.1k

Countries citing papers authored by John D. Helmann

Since Specialization
Citations

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

Fields of papers citing papers by John D. Helmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Helmann

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Helmann. A scholar is included among the top collaborators of John D. Helmann 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 John D. Helmann. John D. Helmann 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.
Cai, Yanfei, et al.. (2025). The extracytoplasmic sigma factor σX supports biofilm formation and increases biocontrol efficacy in Bacillus velezensis 118. Scientific Reports. 15(1). 5315–5315. 2 indexed citations
3.
Soni, Vijay, et al.. (2024). The Bacillus subtilis yqgC-sodA operon protects magnesium-dependent enzymes by supporting manganese efflux. Journal of Bacteriology. 206(6). e0005224–e0005224. 2 indexed citations
4.
Bremer, Erhard, Alexandra Calteau, Antoine Danchin, et al.. (2023). A model industrial workhorse: Bacillus subtilis strain 168 and its genome after a quarter of a century. Microbial Biotechnology. 16(6). 1203–1231. 18 indexed citations
5.
Helmann, John D., et al.. (2021). A Simplified Method for CRISPR-Cas9 Engineering of Bacillus subtilis. Microbiology Spectrum. 9(2). e0075421–e0075421. 12 indexed citations
6.
Jung, Won, et al.. (2020). Biphasic unbinding of a metalloregulator from DNA for transcription (de)repression in Live Bacteria. Nucleic Acids Research. 48(5). 2199–2208. 12 indexed citations
7.
8.
Chandrangsu, Pete, Xiaojuan Huang, Ahmed Gaballa, & John D. Helmann. (2019). Bacillus subtilis FolE is sustained by the ZagA zinc metallochaperone and the alarmone ZTP under conditions of zinc deficiency. Molecular Microbiology. 112(3). 751–765. 53 indexed citations
10.
Joshi, Chandra P., Ahmed Gaballa, Ace George Santiago, et al.. (2015). Metalloregulator CueR biases RNA polymerase’s kinetic sampling of dead-end or open complex to repress or activate transcription. Proceedings of the National Academy of Sciences. 112(44). 13467–13472. 32 indexed citations
11.
Pandey, Ruchi, Riccardo Russo, Saleena Ghanny, et al.. (2015). MntR(Rv2788): a transcriptional regulator that controls manganese homeostasis in Mycobacterium tuberculosis. Molecular Microbiology. 98(6). 1168–1183. 36 indexed citations
12.
Merchant, Sabeeha & John D. Helmann. (2012). Elemental Economy. Advances in microbial physiology. 60. 91–210. 178 indexed citations
13.
Luo, Yun & John D. Helmann. (2011). Analysis of the role ofBacillus subtilisσMin β‐lactam resistance reveals an essential role for c‐di‐AMP in peptidoglycan homeostasis. Molecular Microbiology. 83(3). 623–639. 198 indexed citations
14.
Sevi̇m, Elif, Ahmed Gaballa, Ali Osman Beldüz, & John D. Helmann. (2010). DNA-Binding Properties of the Bacillus subtilis and Aeribacillus pallidus AC6 σ D Proteins. Journal of Bacteriology. 193(2). 575–579. 7 indexed citations
15.
Gaballa, Ahmed, Gerald L. Newton, Haike Antelmann, et al.. (2010). Biosynthesis and functions of bacillithiol, a major low-molecular-weight thiol in Bacilli. Proceedings of the National Academy of Sciences. 107(14). 6482–6486. 196 indexed citations
16.
MacLellan, Shawn R., Verónica Guariglia-Oropeza, Ahmed Gaballa, & John D. Helmann. (2009). A two-subunit bacterial σ-factor activates transcription in Bacillus subtilis. Proceedings of the National Academy of Sciences. 106(50). 21323–21328. 13 indexed citations
17.
Gaballa, Ahmed, et al.. (2008). The Bacillus subtilis iron-sparing response is mediated by a Fur-regulated small RNA and three small, basic proteins. Proceedings of the National Academy of Sciences. 105(33). 11927–11932. 179 indexed citations
18.
Salzberg, Letal I. & John D. Helmann. (2008). Phenotypic and Transcriptomic Characterization of Bacillus subtilis Mutants with Grossly Altered Membrane Composition. Journal of Bacteriology. 190(23). 7797–7807. 80 indexed citations
19.
Helmann, John D., et al.. (2003). DNA-Binding and Oligomerization Studies of the Manganese(II) Metalloregulatory Protein MntR from Bacillus subtilis. Biochemistry. 42(43). 12634–12642. 46 indexed citations
20.
Fuangthong, Mayuree & John D. Helmann. (2002). The OhrR repressor senses organic hydroperoxides by reversible formation of a cysteine-sulfenic acid derivative. Proceedings of the National Academy of Sciences. 99(10). 6690–6695. 188 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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