Michel‐Edwar Mickael

90 total papers · 1.0k total citations
43 papers, 460 citations indexed

About

Michel‐Edwar Mickael is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Michel‐Edwar Mickael has authored 43 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 11 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Michel‐Edwar Mickael's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), T-cell and B-cell Immunology (5 papers) and Invertebrate Immune Response Mechanisms (4 papers). Michel‐Edwar Mickael is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), T-cell and B-cell Immunology (5 papers) and Invertebrate Immune Response Mechanisms (4 papers). Michel‐Edwar Mickael collaborates with scholars based in Poland, Germany and Austria. Michel‐Edwar Mickael's co-authors include Rajatava Basu, Suniti Bhaumik, Mariusz Sacharczuk, Gina Manda, Ashish Rajput, Ana‐Maria Enciu, Jarosław Olav Horbańczuk, Martin Kollmar, Raza‐Ur Rahman and V. Bansal and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Michel‐Edwar Mickael

39 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Michel‐Edwar Mickael 181 126 73 50 46 43 460
Alexandru Tatomir 130 0.7× 161 1.3× 71 1.0× 26 0.5× 51 1.1× 29 437
Angela L. Rachubinski 145 0.8× 127 1.0× 51 0.7× 82 1.6× 60 1.3× 24 516
Jing Zhao 136 0.8× 104 0.8× 60 0.8× 23 0.5× 58 1.3× 42 482
Howard A. Meineke 137 0.8× 97 0.8× 44 0.6× 29 0.6× 97 2.1× 31 518
Yue Tian 125 0.7× 155 1.2× 63 0.9× 41 0.8× 37 0.8× 33 459
B. Schwartz 220 1.2× 86 0.7× 69 0.9× 50 1.0× 26 0.6× 23 507
Kui Cui 153 0.8× 170 1.3× 37 0.5× 18 0.4× 50 1.1× 33 492
Kyosuke Yamanishi 190 1.0× 140 1.1× 39 0.5× 30 0.6× 52 1.1× 44 516
Zhiqian Yu 134 0.7× 101 0.8× 48 0.7× 17 0.3× 52 1.1× 43 473
Laura Bărcuţean 151 0.8× 74 0.6× 125 1.7× 15 0.3× 48 1.0× 42 514

Countries citing papers authored by Michel‐Edwar Mickael

Since Specialization
Citations

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

Fields of papers citing papers by Michel‐Edwar Mickael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel‐Edwar Mickael. 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 Michel‐Edwar Mickael. The network helps show where Michel‐Edwar Mickael may publish in the future.

Co-authorship network of co-authors of Michel‐Edwar Mickael

This figure shows the co-authorship network connecting the top 25 collaborators of Michel‐Edwar Mickael. A scholar is included among the top collaborators of Michel‐Edwar Mickael 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 Michel‐Edwar Mickael. Michel‐Edwar Mickael 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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