Keith Backman

3.3k citations
29 papers · 3.0k indexed · 1 hit paper · h-index 20

Impact in

  • Genetics top 1%
    • Bacterial Genetics and Biotechnology
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • DNA Repair Mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • Genomics and Phylogenetic Studies

Papers in

Keith Backman

29 papers receiving 2.6k citations

Hit Papers

[16] Plasmids of Escherichia coli as cloning vectors 1979 · 609 citations
6091979202619942010200400600

Peers

Keith Backman
Comparison fields: 5 of 97
  • Genetics 1.4k
  • Molecular Biology 2.4k
  • Ecology 777
  • Molecular Medicine 134
  • Biochemistry 138
Replace Akiko Higa with:
Akiko Higa United States
Maxime Schwartz France
John B. Perkins United States
Atsuo Nakata Japan
Katsumi Isono Japan
Donna L. Daniels United States
Austin L. Taylor United States
Olivier Raibaud France
Nancy G. Nossal United States
Hans‐Joachim Fritz Germany
Keith Backman relative to Akiko Higa United States Akiko Higa's profile →
Citations per field
00.5×1.5×1.8×
Akiko Higa · 1×
Citations per year

Countries citing papers authored by Keith Backman

Since Specialization
Citations

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

Fields of papers citing papers by Keith Backman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20215
2 20031
3 20011
4 19965
5 19945
6 199319
7 199143
8 199051
9 198812
10 198732
11 198338
12 198341
13 198328
14 1982108
15 1981210
16 198096
17 198071
18
[16] Plasmids of Escherichia coli as cloning vectors
Hit paper breakdown →
1979609
19 197971
20 1976381

About Keith Backman

Keith Backman is a scholar working on General Dentistry, Genetics, Ecology, Molecular Biology and Periodontics, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (9 papers), DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (4 papers), Epigenetics and DNA Methylation (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (1.4k citations), Molecular Biology (2.4k citations), Ecology (777 citations), Molecular Medicine (134 citations) and Biochemistry (138 citations). Keith Backman has collaborated with scholars based in United States and Canada. Frequent co-authors include Francisco Bolívar, Mark Ptashne, W Gilbert, Boris Magasanik, Yuezhou Chen, Barbara J Meyer, Robert T. Sauer, Russell Maurer, Andrea Jeffrey and Herbert W. Boyer. Their work appears in journals such as Gene, Journal of Bacteriology, Cell, Science and Nucleic Acids Research.

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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