Mélissa Tir

117 total papers · 1.5k total citations
40 papers, 403 citations indexed

About

Mélissa Tir is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Mélissa Tir has authored 40 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Neurology, 17 papers in Cellular and Molecular Neuroscience and 9 papers in Neurology. Recurrent topics in Mélissa Tir's work include Neurological disorders and treatments (28 papers), Parkinson's Disease Mechanisms and Treatments (28 papers) and Genetic Neurodegenerative Diseases (13 papers). Mélissa Tir is often cited by papers focused on Neurological disorders and treatments (28 papers), Parkinson's Disease Mechanisms and Treatments (28 papers) and Genetic Neurodegenerative Diseases (13 papers). Mélissa Tir collaborates with scholars based in France, United States and Belgium. Mélissa Tir's co-authors include Pierre Krystkowiak, A. Destée, Michel Lefranc, David Devos, Luc Defebvre, Alain Duhamel, S. Blond, Kathy Dujardin, Jean‐Marc Constans and F. Cassim and has published in prestigious journals such as PLoS ONE, Neurology and Journal of neurosurgery.

In The Last Decade

Mélissa Tir

35 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Mélissa Tir 327 120 67 58 48 40 403
Ioannis G. Panourias 230 0.7× 78 0.7× 61 0.9× 31 0.5× 54 1.1× 32 420
Walid Bouthour 190 0.6× 188 1.6× 54 0.8× 28 0.5× 89 1.9× 25 368
Olga Ulmanová 237 0.7× 108 0.9× 25 0.4× 30 0.5× 50 1.0× 31 365
Elena Pretegiani 162 0.5× 108 0.9× 97 1.4× 31 0.5× 98 2.0× 32 422
Ji Seon Kim 240 0.7× 102 0.8× 54 0.8× 26 0.4× 23 0.5× 30 369
Giulia Franco 155 0.5× 65 0.5× 55 0.8× 103 1.8× 37 0.8× 27 334
Aoling Cai 202 0.6× 66 0.6× 87 1.3× 46 0.8× 72 1.5× 19 389
Eva Schäffer 290 0.9× 90 0.8× 42 0.6× 53 0.9× 67 1.4× 22 446
G. Defer 260 0.8× 100 0.8× 42 0.6× 12 0.2× 76 1.6× 20 375
Catharina Conzen 272 0.8× 65 0.5× 25 0.4× 60 1.0× 12 0.3× 35 429

Countries citing papers authored by Mélissa Tir

Since Specialization
Citations

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

Fields of papers citing papers by Mélissa Tir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélissa Tir

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