Elsa Germain

732 citations
10 papers · 425 · h-index 7

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 10
    • RNA and protein synthesis mechanisms 4
    • Protein Structure and Dynamics 2
    • Microbial Metabolic Engineering and Bioproduction 1
    • Bacterial biofilms and quorum sensing 1
    • Metabolomics and Mass Spectrometry Studies 1

Elsa Germain

10 papers receiving 423 citations

Peers

Elsa Germain
Comparison fields: 5 of 53
  • Molecular Medicine 129
  • Endocrinology 97
  • Genetics 272
  • Ecology 134
  • Molecular Biology 255
Replace Daniel Castro-Roa with:
Daniel Castro-Roa United Kingdom
Katarzyna Węgrzyn Poland
Sune Lobedanz Denmark
Wouter Knapen Belgium
Arvi Jõers Estonia
Dana M. Lord United States
Trevor E. Randall Canada
Hannes Luidalepp Estonia
Veerle Liebens Belgium
Thenmalarchelvi Rathinavelan India
Elsa Germain relative to Daniel Castro-Roa United Kingdom Daniel Castro-Roa's profile →
Citations per field
00.5×1.5×
Daniel Castro-Roa · 1×
Citations per year

Countries citing papers authored by Elsa Germain

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Elsa Germain, 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 Elsa Germain Line = papers co-authored together Elsa Germain links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013285
2 201854
3 201938
4 201718
5 20219
6 20218
7 20218
8 20182
9 20232
10 20171

About Elsa Germain

Elsa Germain is a scholar working on Genetics, Molecular Biology, Materials Chemistry, Infectious Diseases and Ecology, having authored 10 papers that have together received 425 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Enzyme Structure and Function (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (2 papers), Vibrio bacteria research studies (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Molecular Medicine (129 citations), Endocrinology (97 citations), Genetics (272 citations), Ecology (134 citations) and Molecular Biology (255 citations). Elsa Germain has collaborated with scholars based in France, Denmark and Germany. Frequent co-authors include Kenn Gerdes, Daniel Castro-Roa, Nikolay Zenkin, Etienne Maisonneuve, Boris Maček, Deborah Byrne, Badreddine Douzi, Konstantin Severinov, Laura Meyer and Christiane Wolz. Their work appears in journals such as Frontiers in Microbiology, Molecular Microbiology, Nature Communications, Journal of Biological Chemistry and mSystems.

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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