Jack P. K. Bravo

1.3k citations
23 papers · 752 indexed · 1 hit paper · h-index 15

Jack P. K. Bravo

23 papers receiving 736 citations

Hit Papers

Structural basis for mismatch surveillance by CRISPR–Cas9175202220262023202450100150

Peers

Jack P. K. Bravo
Comparison fields: 5 of 81
  • Business and International Management 53
  • Aging 24
  • Infectious Diseases 158
  • Molecular Biology 575
  • Endocrinology 30
Replace Yaming Shao with:
Yaming Shao United States
Sri Gowtham Thakku United States
Charles Calmettes Canada
Kyle C. Cady United States
Xavier Duportet France
Xidian Tang China
Anton Tikhonov Russia
Arūnas Šilanskas Lithuania
Armiyaw S. Nasamu United States
Jack P. K. Bravo relative to Yaming Shao United States Yaming Shao's profile →
Citations per field
00.5×4.9×
Yaming Shao · 1×
Citations per year

Countries citing papers authored by Jack P. K. Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Jack P. K. Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack P. K. Bravo. 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 Jack P. K. Bravo. The network helps show where Jack P. K. Bravo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20256
3 20245
4 202412
5 202426
6 202415
7 202417
8 202343
9 202310
10 202229
11
Structural basis for mismatch surveillance by CRISPR–Cas9breakdown →
2022175
12 202222
13 202229
14 20227
15 202121
16 202162
17 202127
18 2021100
19 202176
20 202030

About Jack P. K. Bravo

Jack P. K. Bravo is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 752 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), RNA and protein synthesis mechanisms (13 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Immunology Research (4 papers), Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Business and International Management (53 citations), Aging (24 citations) and Infectious Diseases (158 citations). Jack P. K. Bravo has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David W. Taylor, Tyler L. Dangerfield, Kenneth A. Johnson, Grace N. Hibshman, Ryan S. McCool, Mu‐Sen Liu, Ryan N. Jackson, Raymond H.J. Staals, Evan A. Schwartz and Stan J. J. Brouns. Their work appears in journals such as Nature, Science and Cell.

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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