Kaukab Rajput

67 total papers · 2.1k total citations
46 papers, 1.1k citations indexed

About

Kaukab Rajput is a scholar working on Cognitive Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Kaukab Rajput has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 16 papers in Sensory Systems and 8 papers in Molecular Biology. Recurrent topics in Kaukab Rajput's work include Hearing Loss and Rehabilitation (20 papers), Hearing, Cochlea, Tinnitus, Genetics (16 papers) and Hearing Impairment and Communication (7 papers). Kaukab Rajput is often cited by papers focused on Hearing Loss and Rehabilitation (20 papers), Hearing, Cochlea, Tinnitus, Genetics (16 papers) and Hearing Impairment and Communication (7 papers). Kaukab Rajput collaborates with scholars based in United Kingdom, United States and Australia. Kaukab Rajput's co-authors include Usha Goswami, Deborah James, Penelope Brock, Michael Sullivan, Edward A. Neuwelt, Kristin R. Knight, Shahrad R. Rassekh, Kay W. Chang, Kathleen C. M. Campbell and Peter S. Steyger and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Lancet Neurology.

In The Last Decade

Kaukab Rajput

43 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Kaukab Rajput 425 406 188 162 156 46 1.1k
Denis Lafreniere 304 0.7× 155 0.4× 40 0.2× 120 0.7× 131 0.8× 31 1.1k
Andy J. Beynon 434 1.0× 499 1.2× 41 0.2× 313 1.9× 110 0.7× 50 1.3k
James D. Ramsden 182 0.4× 301 0.7× 36 0.2× 316 2.0× 93 0.6× 48 1.3k
Yung‐Song Lin 331 0.8× 269 0.7× 73 0.4× 96 0.6× 79 0.5× 50 1.1k
J. G. Toner 391 0.9× 454 1.1× 56 0.3× 132 0.8× 44 0.3× 40 975
Sady Selaimen da Costa 233 0.5× 167 0.4× 61 0.3× 26 0.2× 56 0.4× 86 1.1k
Kelly King 350 0.8× 139 0.3× 31 0.2× 307 1.9× 126 0.8× 54 1.3k
Tetsuo Morizono 710 1.7× 200 0.5× 17 0.1× 125 0.8× 32 0.2× 62 1.3k
Rosaria Turchetta 426 1.0× 236 0.6× 29 0.2× 124 0.8× 71 0.5× 56 1.2k
Tina C. Huang 365 0.9× 190 0.5× 10 0.1× 168 1.0× 83 0.5× 35 923

Countries citing papers authored by Kaukab Rajput

Since Specialization
Citations

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

Fields of papers citing papers by Kaukab Rajput

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaukab Rajput

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