Elisabeth Kay

1.9k total citations
24 papers, 1.4k citations indexed

About

Elisabeth Kay is a scholar working on Molecular Biology, Endocrinology and Genetics. According to data from OpenAlex, Elisabeth Kay has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Endocrinology and 8 papers in Genetics. Recurrent topics in Elisabeth Kay's work include Legionella and Acanthamoeba research (10 papers), Vibrio bacteria research studies (7 papers) and Bacterial biofilms and quorum sensing (7 papers). Elisabeth Kay is often cited by papers focused on Legionella and Acanthamoeba research (10 papers), Vibrio bacteria research studies (7 papers) and Bacterial biofilms and quorum sensing (7 papers). Elisabeth Kay collaborates with scholars based in France, Switzerland and United States. Elisabeth Kay's co-authors include Dieter Haas, Claudio Valverde, Pascal Simonet, D. Haas, Timothy M. Vogel, Cornelia Reimmann, S.L. Spahr, Katharina Riedel, Leo Eberl and Valérie Dénervaud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Elisabeth Kay

23 papers receiving 1.3k citations

Peers

Elisabeth Kay
Comparison fields: 5 of 73
  • Molecular Biology 991
  • Plant Science 480
  • Genetics 434
  • Endocrinology 323
  • Ecology 271
Replace Laura Silo-Suh with:
Laura Silo-Suh United States
Xi‐Fen Zhang Singapore
Grégory Salvignol France
Maarten G. K. Ghequire Belgium
David L. Coplin United States
Muriel Gaillard Switzerland
Anastasia Tampakaki Greece
Edith Gourbeyre France
Grażyna Jagura‐Burdzy Poland
Melanie M. Marketon United States
Laura Silo-Suh United States View profile →
Citations per field, relative to Elisabeth Kay
Elisabeth Kay · 1×
Citations per year, relative to Elisabeth Kay
Elisabeth Kay · 1×

Countries citing papers authored by Elisabeth Kay

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Kay. A scholar is included among the top collaborators of Elisabeth Kay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elisabeth Kay. Elisabeth Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 8
4 11
5 54
6 9
7 98
8 39
9 60
10 21
11 83
12 37
13 184
14 138
15 13
16 75
17 24
18 148
19 60
20 17

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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