Dhevahi Niranjan

24 total papers · 827 total citations
14 papers, 610 citations indexed

About

Dhevahi Niranjan is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Dhevahi Niranjan has authored 14 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Neurology. Recurrent topics in Dhevahi Niranjan's work include Cellular transport and secretion (5 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Biochemical and Structural Characterization (4 papers). Dhevahi Niranjan is often cited by papers focused on Cellular transport and secretion (5 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Biochemical and Structural Characterization (4 papers). Dhevahi Niranjan collaborates with scholars based in United Kingdom, Germany and India. Dhevahi Niranjan's co-authors include Aviva M. Tolkovsky, Christoph G. Goemans, Edward T. W. Bampton, Noboru Mizushima, Bazbek Davletov, Enrico Ferrari, Nick R. Glass, Frédéric A. Meunier, Callista B. Harper and Timur Mavlyutov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Dhevahi Niranjan

13 papers receiving 606 citations

Author Peers

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

Author Last Decade Papers Cites
Dhevahi Niranjan 285 219 149 131 122 14 610
Vitaliy V. Bondar 219 0.8× 292 1.3× 130 0.9× 108 0.8× 74 0.6× 10 585
Sandra‐Fausia Soukup 246 0.9× 164 0.7× 207 1.4× 175 1.3× 139 1.1× 13 524
Marian DiFiglia 334 1.2× 251 1.1× 92 0.6× 136 1.0× 193 1.6× 8 626
Nina Schulze 213 0.7× 340 1.6× 271 1.8× 62 0.5× 51 0.4× 17 690
Elias Adriaenssens 205 0.7× 355 1.6× 161 1.1× 57 0.4× 126 1.0× 17 582
Dongxue Mao 176 0.6× 271 1.2× 107 0.7× 125 1.0× 45 0.4× 11 520
Sarah van Veen 122 0.4× 366 1.7× 145 1.0× 219 1.7× 62 0.5× 13 642
Geoffrey Parsons 275 1.0× 230 1.1× 331 2.2× 120 0.9× 174 1.4× 14 640
Patrick Ejlerskov 172 0.6× 219 1.0× 78 0.5× 155 1.2× 84 0.7× 16 601
Annick Fraîchard 305 1.1× 392 1.8× 106 0.7× 32 0.2× 70 0.6× 23 684

Countries citing papers authored by Dhevahi Niranjan

Since Specialization
Citations

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

Fields of papers citing papers by Dhevahi Niranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhevahi Niranjan

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