B. Cami

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

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Estrogen and related hormone effects
    • Enzyme Production and Characterization

Papers in

    • Bacterial Genetics and Biotechnology 15
    • Enzyme Production and Characterization 3

B. Cami

42 papers receiving 1.5k citations

Peers

B. Cami
Comparison fields: 5 of 52
  • Genetics 443
  • Biotechnology 52
  • Molecular Biology 424
  • Plant Science 127
  • Immunology 39
Replace Kathleen J. Danna with:
Kathleen J. Danna United States
Nina Thayer United States
Mariena Ketudat‐Cairns Thailand
Guy Dretzen France
Luca Cozzuto Spain
Elzbieta Szczesna-Skorupa United States
Saeko Mizusawa Japan
Alain A. Vertès Japan
Harry Meade United States
Mami Yamamoto Japan
B. Cami relative to Kathleen J. Danna United States Kathleen J. Danna's profile →
Citations per field
00.5×2×3.0×
Kathleen J. Danna · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979314
2 1976147
3 1979135
4 1974122
5 197897
6 197077
7 199075
8 198170
9 197869
10 198169
11 198163
12 197860
13 198852
14 199147
15 197842
16 198939
17 198435
18 198728
19 199227
20 197925

About B. Cami

B. Cami is a scholar working on Genetics, Biotechnology, Molecular Biology, Plant Science and Biochemistry, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), Plant Pathogenic Bacteria Studies (4 papers), vaccines and immunoinformatics approaches (4 papers), Enzyme Production and Characterization (3 papers), Genomics and Chromatin Dynamics (2 papers), DNA Repair Mechanisms (2 papers), RNA Research and Splicing (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Genetics (443 citations), Biotechnology (52 citations), Molecular Biology (424 citations), Plant Science (127 citations) and Immunology (39 citations). B. Cami has collaborated with scholars based in France, Germany and Sweden. Frequent co-authors include Philippe Kourilsky, Pierre Schaeffer, Axel C. Garapin, Pierre Chambon, J.P. LePennec, André Royal, Frank Gannon, Fabienne Perrin‐Schmitt, Rollin D. Hotchkiss and Jean‐Pierre Abastado. Their work appears in journals such as Nature, Nucleic Acids Research, Molecular Microbiology, Proceedings of the National Academy of Sciences 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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