Agnès Wiedemann

2.2k citations
39 papers · 1.7k indexed · h-index 24
Topics
Salmonella and Campylobacter epidemiology (15 papers)Vibrio bacteria research studies (8 papers)Escherichia coli research studies (8 papers)

In The Last Decade

Agnès Wiedemann

39 papers receiving 1.7k citations

Peers

Agnès Wiedemann
Comparison fields: 5 of 96
  • Molecular Biology 547
  • Genetics 440
  • Food Science 436
  • Endocrinology 422
  • Immunology 392
Replace Kaarina Lähteenmäki with:
Kaarina Lähteenmäki Finland
Victoria Auerbuch United States
Ritva Virkola Finland
Nicole Tegtmeyer Germany
Lorraine D. Hernandez United States
Silke Hobbie Germany
Jorge E. Galán United States
Scott Stibitz United States
Mary Jo Wick Sweden
Eric S. Krukonis United States
Agnès Wiedemann relative to Kaarina Lähteenmäki Finland Kaarina Lähteenmäki's profile →
Citations per field
00.5×3.3×
Kaarina Lähteenmäki · 1×
Citations per year

Countries citing papers authored by Agnès Wiedemann

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Wiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnès Wiedemann

This figure shows the co-authorship network connecting the top 25 collaborators of Agnès Wiedemann. A scholar is included among the top collaborators of Agnès Wiedemann 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 Agnès Wiedemann. Agnès Wiedemann 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 3
2 3
3 2
4 29
5 3
6 64
7 24
8 8
9 45
10
Identification of the Epidermal Growth Factor Receptor as the receptor for Salmonella Rck‐dependent invasion
1
11 87
12 87
13 23
14 6
15 45
16 2
17 45
18 56
19 104
20 13

About Agnès Wiedemann

Agnès Wiedemann is a scholar working on Endocrinology, Immunology and Allergy and Food Science, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (15 papers), Vibrio bacteria research studies (8 papers) and Escherichia coli research studies (8 papers). The work is most often cited by research in Endocrinology (422 citations), Food Science (436 citations) and Molecular Medicine (112 citations). Agnès Wiedemann has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Martin Aepfelbacher, Philippe Velge, Isabelle Virlogeux‐Payant, Jürgen Heesemann, Andreas Roggenkamp, Emmanuelle Caron, Jenson Lim, Manon Rosselin, Carsten J. Kirschning and Andreas Sing. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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