Kévin Canis

15 total papers · 1.1k total citations
14 papers, 781 citations indexed

About

Kévin Canis is a scholar working on Molecular Biology, Hematology and Virology. According to data from OpenAlex, Kévin Canis has authored 14 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Virology. Recurrent topics in Kévin Canis's work include Glycosylation and Glycoproteins Research (8 papers), Platelet Disorders and Treatments (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Kévin Canis is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Platelet Disorders and Treatments (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Kévin Canis collaborates with scholars based in United Kingdom, United States and Sweden. Kévin Canis's co-authors include Anne Dell, Stuart M. Haslam, Willy Morelle, Valegh Faid, Jean‐Claude Michalski, Frédéric Chirat, Michael Laffan, Thomas A. J. McKinnon, Agata Nowak and Howard R. Morris and has published in prestigious journals such as Blood, PLoS ONE and Journal of Virology.

In The Last Decade

Kévin Canis

14 papers receiving 762 citations

Author Peers

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

Author						Papers	Cites
Kévin Canis	437	204	189	142	124	14	781
Altan Ercan	547 1.3×	43 0.2×	421 2.2×	63 0.4×	34 0.3×	19	870
Kavitha Baruah	563 1.3×	37 0.2×	346 1.8×	43 0.3×	69 0.6×	11	782
Jonathan Krakover	520 1.2×	30 0.1×	267 1.4×	172 1.2×	109 0.9×	10	735
Lori A. Emert‐Sedlak	289 0.7×	70 0.3×	197 1.0×	97 0.7×	30 0.2×	23	794
H. Souchon	556 1.3×	105 0.5×	140 0.7×	24 0.2×	31 0.3×	15	897
Eliada Lazoura	423 1.0×	104 0.5×	269 1.4×	52 0.4×	19 0.2×	19	764
Wu He	211 0.5×	226 1.1×	124 0.7×	139 1.0×	10 0.1×	21	706
S Hoshi	391 0.9×	144 0.7×	204 1.1×	64 0.5×	13 0.1×	22	741
Masayoshi Imagawa	384 0.9×	62 0.3×	113 0.6×	41 0.3×	15 0.1×	14	754
Géza Ambrus	230 0.5×	140 0.7×	357 1.9×	61 0.4×	13 0.1×	15	620

Countries citing papers authored by Kévin Canis

Since Specialization

Citations

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

Fields of papers citing papers by Kévin Canis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kévin Canis

This figure shows the co-authorship network connecting the top 25 collaborators of Kévin Canis. A scholar is included among the top collaborators of Kévin Canis 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 Kévin Canis. Kévin Canis 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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