Karla Satchell

5.5k citations
115 papers · 4.2k · h-index 39

Impact in

Papers in

    • Vibrio bacteria research studies 67
    • Escherichia coli research studies 13
    • Yersinia bacterium, plague, ectoparasites research 20
    • Bacterial Genetics and Biotechnology 17

Karla Satchell

113 papers receiving 4.1k citations

Peers

Karla Satchell
Comparison fields: 5 of 118
  • Endocrinology 2.0k
  • Molecular Medicine 329
  • Immunology 1.2k
  • Infectious Diseases 874
  • Genetics 989
Replace Hubert Hilbi with:
Hubert Hilbi Switzerland
Michael G. Jobling United States
Stéphane Méresse France
Frank Ebel Germany
Swaine Lin Chen Singapore
Nancy A. Buchmeier United States
Xavier De Bolle Belgium
Nichollas E. Scott Australia
Arne Olsén Sweden
Aimee Shen United States
Karla Satchell relative to Hubert Hilbi Switzerland Hubert Hilbi's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Karla Satchell

Since Specialization
Citations

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

Fields of papers citing papers by Karla Satchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karla Satchell, 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 Karla Satchell Line = papers co-authored together Karla Satchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020364
2 2007165
3 2009164
4 2010155
5 2020152
6 2012125
7 2004119
8 2007109
9 201589
10 201185
11 200782
12 200782
13 200676
14 200775
15 200972
16 201070
17 200967
18 200767
19 200466
20 200864

About Karla Satchell

Karla Satchell is a scholar working on Endocrinology, Genetics, Immunology, Molecular Biology and Molecular Medicine, having authored 115 papers that have together received 4.2k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (67 papers), Aquaculture disease management and microbiota (21 papers), Yersinia bacterium, plague, ectoparasites research (20 papers), Bacterial biofilms and quorum sensing (18 papers), Bacterial Genetics and Biotechnology (17 papers), Escherichia coli research studies (13 papers), Salmonella and Campylobacter epidemiology (10 papers) and Antibiotic Resistance in Bacteria (10 papers). The work is most often cited by research in Endocrinology (2.0k citations), Molecular Medicine (329 citations), Immunology (1.2k citations), Infectious Diseases (874 citations) and Genetics (989 citations). Karla Satchell has collaborated with scholars based in United States, Canada and France. Frequent co-authors include DANIEL C. BATLLE, Jan A Wysocki, Christina L. Cordero, Hee Gon Jeong, Jessica Queen, Hannah E. Gavin, George Minasov, Brett Geissler, Ludmilla Shuvalova and Marco Biancucci. Their work appears in journals such as Infection and Immunity, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Bacteriology and mBio.

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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