Benjamin P. Bratton

30 papers receiving 1.3k citations

Benjamin P. Bratton's Hit Papers

A Dual-Mechanism Antibiotic Kills Gram-Negative Bacteria and Avoids Drug Resistance 2020 · 277 citations
2770+2+4Years since publication50100150200250

Peers

Benjamin P. Bratton
Comparison fields: 5 of 103
  • Endocrinology 128
  • Structural Biology 35
  • Molecular Medicine 104
  • Genetics 547
  • Microbiology 113
Replace Yen‐Pang Hsu with:
Yen‐Pang Hsu United States
Somenath Bakshi United States
Handuo Shi United States
Peter Ames United States
C.M. Dunham United States
Cécile Morlot France
Véronique Arluison France
Christos G. Savva United Kingdom
Nicholas G. Housden United Kingdom
Amanda Miguel United States
Benjamin P. Bratton relative to Yen‐Pang Hsu United States Yen‐Pang Hsu's profile →
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Countries citing papers authored by Benjamin P. Bratton

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. Bratton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin P. Bratton. 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 Benjamin P. Bratton. The network helps show where Benjamin P. Bratton may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin P. Bratton, 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 Benjamin P. Bratton Line = papers co-authored together Benjamin P. Bratton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Dual-Mechanism Antibiotic Kills Gram-Negative Bacteria and Avoids Drug Resistance
Hit paper breakdown →
2020277
2 2018121
3 200892
4 201588
5 201185
6 201769
7 201663
8 201159
9 201957
10 201850
11 202049
12 201647
13 201445
14 201138
15 201832
16 202329
17 202418
18 202316
19 201514
20 202211

About Benjamin P. Bratton

Benjamin P. Bratton is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Biophysics, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Bacteriophages and microbial interactions (9 papers), Bacterial biofilms and quorum sensing (8 papers), Vibrio bacteria research studies (5 papers), Antimicrobial Peptides and Activities (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Image Processing Techniques and Applications (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (128 citations), Structural Biology (35 citations), Molecular Medicine (104 citations), Genetics (547 citations) and Microbiology (113 citations). Benjamin P. Bratton has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Zemer Gitai, James C. Weisshaar, Joshua W. Shaevitz, Kerwyn Casey Huang, Jeffrey Nguyen, Handuo Shi, Randy M. Morgenstein, Somenath Bakshi, Nikolay Ouzounov and Hsin‐Jung Li. Their work appears in journals such as eLife, Biophysical Journal, PLoS ONE, Cell and Proceedings of the National Academy of Sciences.

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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