B. Cami

2.0k citations
44 papers · 1.9k · h-index 21

Impact in

    • Enzyme Production and Characterization
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Animal Genetics and Reproduction

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA Interference and Gene Delivery 4
    • Molecular Biology Techniques and Applications 4
    • Genomics and Chromatin Dynamics 4
    • Bacterial Genetics and Biotechnology 14

B. Cami

44 papers receiving 1.6k citations

Peers

B. Cami
Comparison fields: 5 of 90
  • Biotechnology 216
  • Genetics 654
  • Molecular Biology 1.3k
  • Ecology 303
  • Plant Science 307
Replace Toshiya Takano with:
Toshiya Takano Japan
Ennes A. Auerswald Germany
Alan Sloma United States
A. John United States
James F. Kane United States
Tomas Kempe United States
S L Wong Canada
Jan M. Norrander United States
Mark Vasser United States
K Wiebauer United States
B. Cami relative to Toshiya Takano Japan Toshiya Takano's profile →
Citations per field
00.5×1.5×2.0×
Toshiya Takano · 1×
Citations per year

Countries citing papers authored by B. Cami

Since Specialization
Citations

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

Fields of papers citing papers by B. Cami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979320
2 1976152
3 1979139
4 1974123
5 197899
6 197077
7 199074
8 198172
9 198170
10 197870
11 198166
12 197864
13 198851
14 199147
15 197842
16 198439
17 198939
18 198728
19 199227
20 197925

About B. Cami

B. Cami is a scholar working on Molecular Biology, Genetics, Biotechnology, Plant Science and Materials Chemistry, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Enzyme Structure and Function (7 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme Production and Characterization (7 papers), Biofuel production and bioconversion (5 papers), RNA Interference and Gene Delivery (4 papers), Molecular Biology Techniques and Applications (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Biotechnology (216 citations), Genetics (654 citations), Molecular Biology (1.3k citations), Ecology (303 citations) and Plant Science (307 citations). B. Cami has collaborated with scholars based in France, Morocco and Sweden. Frequent co-authors include Philippe Kourilsky, P Schaeffer, A. Garapin, F. Perrin, J.P. LePennec, André Royal, Frank Gannon, Rollin D. Hotchkiss, Pierre Chambon and Jean‐Pierre Abastado. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Nucleic Acids Research, Molecular Microbiology and Journal of Bacteriology.

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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