J.M. Mussini

46 total papers · 733 total citations
16 papers, 526 citations indexed

About

J.M. Mussini is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, J.M. Mussini has authored 16 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in J.M. Mussini's work include Inflammatory Myopathies and Dermatomyositis (5 papers), Muscle Physiology and Disorders (4 papers) and Peripheral Neuropathies and Disorders (2 papers). J.M. Mussini is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (5 papers), Muscle Physiology and Disorders (4 papers) and Peripheral Neuropathies and Disorders (2 papers). J.M. Mussini collaborates with scholars based in France, United States and United Kingdom. J.M. Mussini's co-authors include W. G. Bradley, Asad Abbas, Yves Maugars, P. Fawcett, Jean‐Marie Berthelot, M. Z. Jones, Jean Michel Nguyen, Pascal Laforêt, M Coquet and P. Chérin and has published in prestigious journals such as The Lancet, Journal of Neurology Neurosurgery & Psychiatry and Acta Neuropathologica.

In The Last Decade

J.M. Mussini

15 papers receiving 491 citations

Author Peers

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

Author Last Decade Papers Cites
J.M. Mussini 216 163 132 99 69 16 526
P. Chérin 282 1.3× 84 0.5× 119 0.9× 30 0.3× 38 0.6× 26 500
Philippe Jaïs 135 0.6× 100 0.6× 155 1.2× 72 0.7× 61 0.9× 23 525
Zhong Wang 151 0.7× 76 0.5× 143 1.1× 39 0.4× 83 1.2× 20 561
S Kröber 222 1.0× 95 0.6× 57 0.4× 36 0.4× 33 0.5× 22 604
Elisabetta Borella 244 1.1× 80 0.5× 212 1.6× 33 0.3× 17 0.2× 14 575
Jessie Aouizerate 241 1.1× 107 0.7× 122 0.9× 38 0.4× 9 0.1× 24 469
Susanne Hörner 137 0.6× 54 0.3× 35 0.3× 125 1.3× 90 1.3× 25 577
R. M. Goldblum 116 0.5× 97 0.6× 64 0.5× 19 0.2× 15 0.2× 28 535
Judith M. Andrews 98 0.5× 82 0.5× 32 0.2× 19 0.2× 88 1.3× 11 615
Madoka Kajimoto 122 0.6× 70 0.4× 20 0.2× 130 1.3× 40 0.6× 24 490

Countries citing papers authored by J.M. Mussini

Since Specialization
Citations

This map shows the geographic impact of J.M. Mussini'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. Mussini 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. Mussini more than expected).

Fields of papers citing papers by J.M. Mussini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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