Caroline Wilde

24 papers receiving 917 citations

Peers

Caroline Wilde
Comparison fields: 5 of 83
  • Endocrinology 227
  • Molecular Medicine 99
  • Immunology and Allergy 72
  • Molecular Biology 573
  • Cellular and Molecular Neuroscience 144
Replace Lenore Johansson with:
Lenore Johansson Sweden
Anna Marchetti Switzerland
Lothar Gröbe Germany
Thierry Foulon France
Y Sano Japan
Kenneth R. Luehrsen United States
Amy Kwok Hong Kong
Dante P. Ricci United States
Linghui Xu China
Vincent G. Nadeau Canada
Caroline Wilde relative to Lenore Johansson Sweden Lenore Johansson's profile →
Citations per field
00.5×10×17×
Lenore Johansson · 1×
Citations per year

Countries citing papers authored by Caroline Wilde

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Wilde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007140
2 2006110
3 2015101
4 201780
5 200877
6 201852
7 202252
8 200738
9 201432
10 201932
11 200823
12 202122
13 199920
14 201920
15 201620
16 202217
17 200116
18 200816
19 201214
20 202312

About Caroline Wilde

Caroline Wilde is a scholar working on Molecular Biology, Endocrinology, Genetics, Molecular Medicine and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 919 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Bacterial Genetics and Biotechnology (6 papers), Vibrio bacteria research studies (5 papers), Antibiotic Resistance in Bacteria (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (4 papers), Neuropeptides and Animal Physiology (4 papers) and Fermentation and Sensory Analysis (3 papers). The work is most often cited by research in Endocrinology (227 citations), Molecular Medicine (99 citations), Immunology and Allergy (72 citations), Molecular Biology (573 citations) and Cellular and Molecular Neuroscience (144 citations). Caroline Wilde has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Dean A. Rowe‐Magnus, Ines Liebscher, Torsten Schöneberg, Alina Nakhamchik, Didier Mazel, Sven Rothemund, Vera Lede, Élisabeth Carniel, Barbara Middendorf and Jürgen Kirchberger. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Applied Microbiology and Biotechnology, Infection and Immunity and Journal of Biological Chemistry.

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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