K. Brooks Low

7.3k citations
52 papers · 6.4k indexed · 4 hit papers · h-index 28

Impact in

  • Biotechnology top 0.1%
    • Cancer Research and Treatments
  • Genetics top 0.2%
    • Bacterial Genetics and Biotechnology
    • Virus-based gene therapy research

Papers in

K. Brooks Low

52 papers receiving 5.4k citations

Hit Papers

Identification of a Sex-factor-affinity Site in E. coli as    1981 · 529 citations
5291972202619902008250500750

Peers

K. Brooks Low
Comparison fields: 5 of 113
  • Biotechnology 1.6k
  • Genetics 3.3k
  • Endocrinology 449
  • Molecular Medicine 390
  • Molecular Biology 4.1k
Replace M J Casadaban with:
M J Casadaban United States
Mary C. Betlach United States
Raymond L. Rodriguez United States
Willem P.C. Stemmer United States
B Bachmann Germany
Susan T. Lovett United States
Hideo Shinagawa Japan
John Spizizen United States
J W Lengeler Germany
J A Hoch United States
K. Brooks Low relative to M J Casadaban United States M J Casadaban's profile →
Citations per field
00.5×3.8×
M J Casadaban · 1×
Citations per year

Countries citing papers authored by K. Brooks Low

Since Specialization
Citations

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

Fields of papers citing papers by K. Brooks Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Brooks Low. 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 K. Brooks Low. The network helps show where K. Brooks Low may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20163
2 200914
3 200727
4 2003245
5 200238
6 200116
7 200058
8 2000283
9 1999407
10 199435
11 1993287
12 198714
13 198622
14 198687
15 198537
16 198351
17 197915
18 19776
19 197727
20 197722

About K. Brooks Low

K. Brooks Low is a scholar working on Biotechnology, Molecular Medicine, Genetics, Endocrinology and Food Science, having authored 52 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Cancer Research and Treatments (14 papers), Bacteriophages and microbial interactions (9 papers), DNA Repair Mechanisms (9 papers), RNA and protein synthesis mechanisms (9 papers), Salmonella and Campylobacter epidemiology (8 papers), Enzyme Structure and Function (8 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Biotechnology (1.6k citations), Genetics (3.3k citations), Endocrinology (449 citations), Molecular Medicine (390 citations) and Molecular Biology (4.1k citations). K. Brooks Low has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include B Bachmann, Austin L. Taylor, David Bermudes, John M. Pawelek, Randall R. Reed, Joan A. Steitz, Mark S. Guyer, David W. Mount, Efim I. Golub and Arthur L. Horwich. Their work appears in journals such as Journal of Bacteriology, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Cell and Journal of Virology.

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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