Corrella S. Detweiler

2.6k citations
42 papers · 2.0k indexed · h-index 26
Topics
Salmonella and Campylobacter epidemiology (17 papers)Vibrio bacteria research studies (13 papers)Viral gastroenteritis research and epidemiology (11 papers)

In The Last Decade

Corrella S. Detweiler

42 papers receiving 2.0k citations

Peers

Corrella S. Detweiler
Comparison fields: 5 of 111
  • Food Science 751
  • Molecular Biology 698
  • Endocrinology 618
  • Infectious Diseases 302
  • Genetics 301
Replace Helene Andrews‐Polymenis with:
Helene Andrews‐Polymenis United States
Scott D. Mills United States
Paul A. Gulig United States
K. Heran Darwin United States
Anne‐Béatrice Blanc‐Potard France
George P. Munson United States
Carol L. Pickett United States
Nara Figueroa‐Bossi France
Craig D. Ellermeier United States
Médéric Diard Switzerland
Corrella S. Detweiler relative to Helene Andrews‐Polymenis United States Helene Andrews‐Polymenis's profile →
Citations per field
00.5×1.5×
Helene Andrews‐Polymenis · 1×
Citations per year

Countries citing papers authored by Corrella S. Detweiler

Since Specialization
Citations

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

Fields of papers citing papers by Corrella S. Detweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corrella S. Detweiler. 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 Corrella S. Detweiler. The network helps show where Corrella S. Detweiler may publish in the future.

Co-authorship network of co-authors of Corrella S. Detweiler

This figure shows the co-authorship network connecting the top 25 collaborators of Corrella S. Detweiler. A scholar is included among the top collaborators of Corrella S. Detweiler 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 Corrella S. Detweiler. Corrella S. Detweiler 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
#WorkIndexed citations
1 1
2 4
3 4
4 26
5 6
6 15
7 37
8 105
9 26
10 23
11 27
12 52
13 26
14 48
15 10
16 80
17 39
18 132
19 103
20 83

About Corrella S. Detweiler

Corrella S. Detweiler is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (17 papers), Vibrio bacteria research studies (13 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Endocrinology (618 citations), Molecular Medicine (244 citations) and Food Science (751 citations). Corrella S. Detweiler has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Stanley Falkow, Toni A. Nagy, Denise M. Monack, Kimberly D. Erickson, Joachim J. Li, Eugenia Silva‐Herzog, Rebecca N. Nix, Gordon Dougan, Charles C. Kim and Kaman Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Cell Science.

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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