Brian Bae

907 citations
17 papers · 759 · h-index 12

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics

Papers in

Brian Bae

17 papers receiving 753 citations

Peers

Brian Bae
Comparison fields: 5 of 44
  • Genetics 364
  • Molecular Biology 384
  • Biotechnology 38
  • Infectious Diseases 48
  • Pharmacology 36
Replace Raphaël Herman with:
Raphaël Herman Belgium
Jeremiah D. Farelli United States
Ron Reyes United States
Linda Okach United States
Keigo Bunai Japan
Bertrand Morel Spain
Meike Baumgart Germany
Olivier Delumeau France
Vladimir M. Levdikov United Kingdom
Katarı́na Muchová Slovakia
Brian Bae relative to Raphaël Herman Belgium Raphaël Herman's profile →
Citations per field
00.5×2×3.3×
Raphaël Herman · 1×
Citations per year

Countries citing papers authored by Brian Bae

Since Specialization
Citations

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

Fields of papers citing papers by Brian Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015181
2 2013129
3 201772
4 201556
5 201253
6 200749
7 200947
8 201041
9 201532
10 200722
11 201018
12 201615
13 201012
14 201110
15 201410
16 20118
17 20194

About Brian Bae

Brian Bae is a scholar working on Materials Chemistry, Pharmacology, Genetics, Biotechnology and Molecular Biology, having authored 17 papers that have together received 759 indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Bacterial Genetics and Biotechnology (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Biofuel production and bioconversion (3 papers), Genomics and Chromatin Dynamics (3 papers), Protein Structure and Dynamics (2 papers), Organophosphorus compounds synthesis (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Genetics (364 citations), Molecular Biology (384 citations), Biotechnology (38 citations), Infectious Diseases (48 citations) and Pharmacology (36 citations). Brian Bae has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Seth Andrew Darst, Robert C. Landick, Andrey Feklístov, Satish K. Nair, Elizabeth A. Campbell, Isaac Cann, Sivaramesh Wigneshweraraj, Roderick Ian Mackie, James Chen and Katherine Leon. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, eLife, Chemical Communications and Organic & Biomolecular Chemistry.

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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