Madhu Nagappa

153 total papers · 1.4k total citations
100 papers, 885 citations indexed

About

Madhu Nagappa is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Madhu Nagappa has authored 100 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 25 papers in Cellular and Molecular Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Madhu Nagappa's work include Peripheral Neuropathies and Disorders (30 papers), Epilepsy research and treatment (13 papers) and Myasthenia Gravis and Thymoma (13 papers). Madhu Nagappa is often cited by papers focused on Peripheral Neuropathies and Disorders (30 papers), Epilepsy research and treatment (13 papers) and Myasthenia Gravis and Thymoma (13 papers). Madhu Nagappa collaborates with scholars based in India, United States and Canada. Madhu Nagappa's co-authors include Arun B. Taly, Sanjib Sinha, Parayil Sankaran Bindu, Anita Mahadevan, Rose Dawn Bharath, Chetan S. Nayak, Kandavel Thennarasu, Narayanappa Gayathri, PS Mathuranath and G.S. Umamaheswara Rao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Madhu Nagappa

92 papers receiving 858 citations

Author Peers

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

Author Last Decade Papers Cites
Madhu Nagappa 305 240 198 148 127 100 885
Dilek Yalnızoğlu 233 0.8× 350 1.5× 192 1.0× 199 1.3× 267 2.1× 71 1.0k
Claudia Cinnante 235 0.8× 133 0.6× 114 0.6× 138 0.9× 167 1.3× 70 881
Anne Bertrand 228 0.7× 276 1.1× 153 0.8× 141 1.0× 98 0.8× 58 1.0k
Raphael Weitz 196 0.6× 213 0.9× 131 0.7× 160 1.1× 140 1.1× 56 877
Junliang Yuan 339 1.1× 130 0.5× 142 0.7× 119 0.8× 58 0.5× 81 978
Gül Serdaroğlu 196 0.6× 460 1.9× 128 0.6× 122 0.8× 309 2.4× 76 1.0k
Rukmini Mridula Kandadai 451 1.5× 181 0.8× 106 0.5× 156 1.1× 61 0.5× 97 1.0k
M. Paganini 198 0.6× 255 1.1× 176 0.9× 130 0.9× 172 1.4× 45 852
M L Espir 374 1.2× 275 1.1× 104 0.5× 88 0.6× 159 1.3× 39 992
S. Binelli 188 0.6× 387 1.6× 185 0.9× 209 1.4× 260 2.0× 43 926

Countries citing papers authored by Madhu Nagappa

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Nagappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Nagappa

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