Brian T. Ho

2.8k total citations · 2 hit papers
16 papers, 2.1k citations indexed

About

Brian T. Ho is a scholar working on Endocrinology, Molecular Medicine and Ecology. According to data from OpenAlex, Brian T. Ho has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, 6 papers in Molecular Medicine and 5 papers in Ecology. Recurrent topics in Brian T. Ho's work include Vibrio bacteria research studies (10 papers), Escherichia coli research studies (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Brian T. Ho is often cited by papers focused on Vibrio bacteria research studies (10 papers), Escherichia coli research studies (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Brian T. Ho collaborates with scholars based in United States, United Kingdom and Switzerland. Brian T. Ho's co-authors include John J. Mekalanos, Marek Basler, Tao Dong, S.A. Buth, Mikhail M. Shneider, P.G. Leiman, Deborah R. Yoder-Himes, Jun Zheng, Jonida Toska and Yang Fu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Brian T. Ho

16 papers receiving 2.1k citations

Hit Papers

A View to a Kill: The Bacterial Type VI Secretion System 2013 2026 2017 2021 2013 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A View to a Kill: The Bacterial Type VI Secretion System
    2013 462 citations Brian T. Ho, Tao Dong et al. Cell Host & Microbe profile →
  2. PAAR-repeat proteins sharpen and diversify the type VI secretion system spike
    2013 407 citations Mikhail M. Shneider, S.A. Buth et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian T. Ho United States 12 1.6k 774 674 537 336 16 2.1k
Yannick R. Brunet France 18 1.2k 0.8× 502 0.6× 503 0.7× 556 1.0× 219 0.7× 19 1.6k
Yoshiharu Yamaichi France 21 1.0k 0.7× 1.2k 1.6× 358 0.5× 1.1k 2.1× 681 2.0× 37 2.4k
Julie M. Silverman United States 7 1.1k 0.7× 529 0.7× 499 0.7× 366 0.7× 140 0.4× 7 1.4k
Tatiana E. Erova United States 24 843 0.5× 776 1.0× 217 0.3× 607 1.1× 272 0.8× 37 1.8k
Anna D. Tischler United States 19 758 0.5× 1.1k 1.4× 346 0.5× 455 0.8× 165 0.5× 27 1.9k
Xavier Charpentier France 22 1.1k 0.7× 899 1.2× 406 0.6× 461 0.9× 241 0.7× 46 1.8k
Karla Jean Fullner United States 13 829 0.5× 731 0.9× 158 0.2× 263 0.5× 192 0.6× 14 1.5k
Jean Cury France 16 429 0.3× 967 1.2× 569 0.8× 321 0.6× 746 2.2× 26 1.8k
Divya Rose United States 4 754 0.5× 735 0.9× 223 0.3× 419 0.8× 313 0.9× 5 1.5k
Laurence Rohmer United States 19 347 0.2× 722 0.9× 218 0.3× 332 0.6× 246 0.7× 22 1.5k

Countries citing papers authored by Brian T. Ho

Since Specialization
Citations

This map shows the geographic impact of Brian T. Ho'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 Brian T. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Ho more than expected).

Fields of papers citing papers by Brian T. Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Ho. 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 Brian T. Ho. The network helps show where Brian T. Ho may publish in the future.

Co-authorship network of co-authors of Brian T. Ho

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

All Works

16 of 16 papers shown
1.
Mostowy, Serge, et al.. (2025). Emerging models to study competitive interactions within bacterial communities. Trends in Microbiology. 33(6). 688–700. 2 indexed citations
2.
Mostowy, Serge, et al.. (2024). Use of zebrafish to identify host responses specific to type VI secretion system mediated interbacterial antagonism. PLoS Pathogens. 20(7). e1012384–e1012384. 2 indexed citations
3.
4.
Kühn, Lauriane, Richard Patryk Ngondo, Elisabeth Njamkepo, et al.. (2023). Escherichia coli killing by epidemiologically successful sublineages of Shigella sonnei is mediated by colicins. EBioMedicine. 97. 104822–104822. 13 indexed citations
5.
Wilson, Brenda A., Malcolm E. Winkler, & Brian T. Ho. (2019). Bacterial Pathogenesis: A Molecular Approach, Fourth Edition. 5 indexed citations
6.
7.
Fu, Yang, Brian T. Ho, & John J. Mekalanos. (2018). Tracking Vibrio cholerae Cell-Cell Interactions during Infection Reveals Bacterial Population Dynamics within Intestinal Microenvironments. Cell Host & Microbe. 23(2). 274–281.e2. 40 indexed citations
8.
Toska, Jonida, Brian T. Ho, & John J. Mekalanos. (2018). Exopolysaccharide protects Vibrio cholerae from exogenous attacks by the type 6 secretion system. Proceedings of the National Academy of Sciences. 115(31). 7997–8002. 88 indexed citations
9.
Ho, Brian T., Yang Fu, Tao Dong, & John J. Mekalanos. (2017). Vibrio cholerae type 6 secretion system effector trafficking in target bacterial cells. Proceedings of the National Academy of Sciences. 114(35). 9427–9432. 56 indexed citations
10.
Dong, Tao, Brian T. Ho, Deborah R. Yoder-Himes, & John J. Mekalanos. (2013). Identification of T6SS-dependent effector and immunity proteins by Tn-seq in Vibrio cholerae. Proceedings of the National Academy of Sciences. 110(7). 2623–2628. 239 indexed citations
11.
Ho, Brian T., Marek Basler, & John J. Mekalanos. (2013). Type 6 Secretion System–Mediated Immunity to Type 4 Secretion System–Mediated Gene Transfer. Science. 342(6155). 250–253. 101 indexed citations
12.
Basler, Marek, Brian T. Ho, & John J. Mekalanos. (2013). Tit-for-Tat: Type VI Secretion System Counterattack during Bacterial Cell-Cell Interactions. Cell. 152(4). 884–894. 392 indexed citations
13.
Shneider, Mikhail M., S.A. Buth, Brian T. Ho, et al.. (2013). PAAR-repeat proteins sharpen and diversify the type VI secretion system spike. Nature. 500(7462). 350–353. 407 indexed citations breakdown →
14.
Ho, Brian T., Tao Dong, & John J. Mekalanos. (2013). A View to a Kill: The Bacterial Type VI Secretion System. Cell Host & Microbe. 15(1). 9–21. 462 indexed citations breakdown →
15.
Zheng, Jun, Brian T. Ho, & John J. Mekalanos. (2011). Genetic Analysis of Anti-Amoebae and Anti-Bacterial Activities of the Type VI Secretion System in Vibrio cholerae. PLoS ONE. 6(8). e23876–e23876. 156 indexed citations
16.
Joshi, Mohan C., Aude Bourniquel, Jay K. Fisher, et al.. (2011). Escherichia coli sister chromosome separation includes an abrupt global transition with concomitant release of late-splitting intersister snaps. Proceedings of the National Academy of Sciences. 108(7). 2765–2770. 96 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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