Anne Geffré

48 total papers · 1.6k total citations
34 papers, 1.2k citations indexed

About

Anne Geffré is a scholar working on Physiology, Small Animals and Statistics, Probability and Uncertainty. According to data from OpenAlex, Anne Geffré has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 12 papers in Small Animals and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Anne Geffré's work include Clinical Laboratory Practices and Quality Control (21 papers), Hematological disorders and diagnostics (6 papers) and Reliability and Agreement in Measurement (5 papers). Anne Geffré is often cited by papers focused on Clinical Laboratory Practices and Quality Control (21 papers), Hematological disorders and diagnostics (6 papers) and Reliability and Agreement in Measurement (5 papers). Anne Geffré collaborates with scholars based in France, Morocco and Belgium. Anne Geffré's co-authors include Catherine Trumel, Didier Concordet, Jean‐Pierre Braun, Kristen R. Friedrichs, Kendal E. Harr, Nathalie Bourgès‐Abella, Jerry Braun, J.P. Braun, Dominique Peeters and Brice Reynolds and has published in prestigious journals such as Journal of Dairy Science, Animal Behaviour and Clinica Chimica Acta.

In The Last Decade

Anne Geffré

32 papers receiving 1.2k citations

Hit Papers

Reference Value Advisor: ... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anne Geffré 384 318 176 135 126 34 1.2k
Jean‐Pierre Braun 406 1.1× 248 0.8× 159 0.9× 106 0.8× 139 1.1× 42 1.4k
Balázs Szladovits 431 1.1× 196 0.6× 188 1.1× 105 0.8× 230 1.8× 48 1.5k
Kirstin F. Barnhart 296 0.8× 172 0.5× 141 0.8× 91 0.7× 104 0.8× 13 1.3k
Bente Flatland 292 0.8× 393 1.2× 118 0.7× 41 0.3× 129 1.0× 53 1.1k
Mary B. Nabity 462 1.2× 188 0.6× 127 0.7× 39 0.3× 210 1.7× 61 1.3k
Kostas Papasouliotis 278 0.7× 185 0.6× 99 0.6× 42 0.3× 168 1.3× 87 1.3k
Mary Anna Thrall 154 0.4× 471 1.5× 47 0.3× 38 0.3× 125 1.0× 43 1.4k
Joseph G. Zinkl 148 0.4× 68 0.2× 107 0.6× 76 0.6× 136 1.1× 50 1.4k
Harold Tvedten 238 0.6× 268 0.8× 129 0.7× 38 0.3× 185 1.5× 83 1.1k
Peter Graham 400 1.0× 62 0.2× 53 0.3× 33 0.2× 227 1.8× 74 1.3k

Countries citing papers authored by Anne Geffré

Since Specialization
Citations

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

Fields of papers citing papers by Anne Geffré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Geffré

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Geffré. A scholar is included among the top collaborators of Anne Geffré 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 Anne Geffré. Anne Geffré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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