J. M. Boutry

24 total papers · 517 total citations
19 papers, 413 citations indexed

About

J. M. Boutry is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, J. M. Boutry has authored 19 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in J. M. Boutry's work include Glycosylation and Glycoproteins Research (4 papers), Metabolism and Genetic Disorders (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). J. M. Boutry is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Metabolism and Genetic Disorders (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). J. M. Boutry collaborates with scholars based in France, Israel and South Africa. J. M. Boutry's co-authors include J.J. Hauw, Catherine Lubetzki, René Lebar, Pierre Lombrail, Nicole Baumann, Anne Baron‐Van Evercooren, M. Pouchelet, A. Gansmüller, J.‐J. Hauw and Emmanuelle Clérin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Journal of Neurochemistry.

In The Last Decade

J. M. Boutry

19 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
J. M. Boutry	174	152	84	73	57	19	413
Johanna R. Möller	258 1.5×	85 0.6×	53 0.6×	65 0.9×	61 1.1×	16	486
Margaret C. Manning	107 0.6×	184 1.2×	117 1.4×	59 0.8×	33 0.6×	11	455
Isabelle Cournu‐Rebeix	219 1.3×	135 0.9×	30 0.4×	86 1.2×	68 1.2×	12	443
Ana Lis Moyano	284 1.6×	47 0.3×	67 0.8×	43 0.6×	39 0.7×	16	438
Magdalena Dragan	220 1.3×	117 0.8×	41 0.5×	43 0.6×	44 0.8×	18	484
Koichi Murakami	135 0.8×	107 0.7×	43 0.5×	60 0.8×	44 0.8×	30	494
Seema Shroff	206 1.2×	137 0.9×	101 1.2×	30 0.4×	46 0.8×	18	395
Marisa Teigell	177 1.0×	60 0.4×	52 0.6×	45 0.6×	25 0.4×	12	371
Shinya Hoshikawa	193 1.1×	182 1.2×	104 1.2×	35 0.5×	22 0.4×	16	399
Laura Cajola	190 1.1×	133 0.9×	59 0.7×	22 0.3×	66 1.2×	15	479

Countries citing papers authored by J. M. Boutry

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Boutry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Boutry. 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 J. M. Boutry. The network helps show where J. M. Boutry may publish in the future.

Co-authorship network of co-authors of J. M. Boutry

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Boutry. A scholar is included among the top collaborators of J. M. Boutry 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 J. M. Boutry. J. M. Boutry 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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