Constance Auvynet

22 papers receiving 988 citations

Peers

Constance Auvynet
Comparison fields: 5 of 102
  • Microbiology 216
  • Ophthalmology 219
  • Neurology 141
  • Immunology 276
  • Molecular Biology 345
Replace Madhavi Latha Somaraju Chalasani with:
Madhavi Latha Somaraju Chalasani Singapore
Marcia M. Jumblatt United States
Suresh Selvaraj India
Benjamin Strobel Germany
Serge Camelo France
Arantxa Acera Spain
Yunfan Zhang China
José Hurst Germany
Paul Cassidy United States
Grzegorz Bereta United States
Constance Auvynet relative to Madhavi Latha Somaraju Chalasani Singapore Madhavi Latha Somaraju Chalasani's profile →
Citations per field
00.5×5.8×
Madhavi Latha Somaraju Chalasani · 1×
Citations per year

Countries citing papers authored by Constance Auvynet

Since Specialization
Citations

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

Fields of papers citing papers by Constance Auvynet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013240
2 2009172
3 201091
4 201274
5 201368
6 200859
7 201454
8 202348
9 201247
10 201627
11 200523
12 201320
13 200919
14 200917
15 201114
16 20189
17 20098
18 20155
19 20213
20 20103

About Constance Auvynet

Constance Auvynet is a scholar working on Molecular Biology, Microbiology, Immunology, Oncology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Biochemical and Structural Characterization (4 papers), Chemokine receptors and signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Retinal Diseases and Treatments (3 papers), Immune Cell Function and Interaction (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Microbiology (216 citations), Ophthalmology (219 citations), Neurology (141 citations), Immunology (276 citations) and Molecular Biology (345 citations). Constance Auvynet has collaborated with scholars based in France, Mexico and United States. Frequent co-authors include Yvonne Rosenstein, Christophe Combadière, Lucie Poupel, Florian Sennlaub, William Raoul, Serge Camelo, Xavier Guillonneau, C. Lacombe, Pierre Nicolas and C. Feumi. Their work appears in journals such as FEBS Journal, Arteriosclerosis Thrombosis and Vascular Biology, Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Journal of Neuroinflammation.

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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