Camilla Sekse

57 total papers · 1.1k total citations
39 papers, 859 citations indexed

About

Camilla Sekse is a scholar working on Endocrinology, Infectious Diseases and Food Science. According to data from OpenAlex, Camilla Sekse has authored 39 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, 15 papers in Infectious Diseases and 15 papers in Food Science. Recurrent topics in Camilla Sekse's work include Escherichia coli research studies (22 papers), Viral gastroenteritis research and epidemiology (13 papers) and Salmonella and Campylobacter epidemiology (12 papers). Camilla Sekse is often cited by papers focused on Escherichia coli research studies (22 papers), Viral gastroenteritis research and epidemiology (13 papers) and Salmonella and Campylobacter epidemiology (12 papers). Camilla Sekse collaborates with scholars based in Norway, Germany and Sweden. Camilla Sekse's co-authors include Gerd E. Vegarud, Anne Margrete Urdahl, Yngvild Wasteson, Morten Jacobsen, Ragnar Flengsrud, Gro S. Johannessen, Live L. Nesse, Flavio Tidona, Andrea Criscione and Donata Marletta and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Camilla Sekse

39 papers receiving 848 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Camilla Sekse 355 319 284 199 152 39 859
Ximin Zeng 406 1.1× 185 0.6× 292 1.0× 237 1.2× 250 1.6× 47 1.0k
Lydia M. Bogomolnaya 242 0.7× 219 0.7× 343 1.2× 122 0.6× 134 0.9× 42 793
Ana Herrero-Fresno 471 1.3× 300 0.9× 279 1.0× 103 0.5× 315 2.1× 57 919
Xianhua Yin 273 0.8× 188 0.6× 235 0.8× 178 0.9× 125 0.8× 39 810
Oliveiro Caetano de Freitas Neto 692 1.9× 162 0.5× 227 0.8× 168 0.8× 161 1.1× 59 1.0k
Meiying Yan 431 1.2× 326 1.0× 204 0.7× 216 1.1× 239 1.6× 60 879
O. Söderlind 242 0.7× 420 1.3× 195 0.7× 219 1.1× 105 0.7× 32 869
Sébastien Houle 230 0.6× 398 1.2× 270 1.0× 99 0.5× 288 1.9× 29 851
M T Fera 247 0.7× 284 0.9× 203 0.7× 152 0.8× 60 0.4× 39 954
Babak Pakbin 298 0.8× 255 0.8× 204 0.7× 142 0.7× 100 0.7× 52 741

Countries citing papers authored by Camilla Sekse

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Sekse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Sekse

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Sekse. A scholar is included among the top collaborators of Camilla Sekse 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 Camilla Sekse. Camilla Sekse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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