Nikhil Hebbar

38 total papers · 552 total citations
19 papers, 364 citations indexed

About

Nikhil Hebbar is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Nikhil Hebbar has authored 19 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Nikhil Hebbar's work include CAR-T cell therapy research (8 papers), Cell death mechanisms and regulation (6 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Nikhil Hebbar is often cited by papers focused on CAR-T cell therapy research (8 papers), Cell death mechanisms and regulation (6 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Nikhil Hebbar collaborates with scholars based in United States and Japan. Nikhil Hebbar's co-authors include Vivek M. Rangnekar, Ravshan Burikhanov, Chi Wang, Shirley Qiu, Nidhi Shukla, David S. Watt, Mireya Paulina Velasquez, Yanming Zhao, Sujuan Huang and Stephen Gottschalk and has published in prestigious journals such as Nature Communications, Blood and Cancer Cell.

In The Last Decade

Nikhil Hebbar

17 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Nikhil Hebbar 252 125 106 64 52 19 364
Zhengfeng Wang 210 0.8× 89 0.7× 76 0.7× 41 0.6× 41 0.8× 17 384
Elina Siljamäki 233 0.9× 111 0.9× 53 0.5× 69 1.1× 48 0.9× 20 381
Roger Mosselmans 161 0.6× 101 0.8× 48 0.5× 82 1.3× 53 1.0× 18 394
E. Timothy Walch 228 0.9× 91 0.7× 40 0.4× 80 1.3× 38 0.7× 12 389
Samantha S. Dykes 167 0.7× 83 0.7× 82 0.8× 31 0.5× 66 1.3× 16 328
Susan Yeyeodu 181 0.7× 71 0.6× 70 0.7× 61 1.0× 32 0.6× 19 378
Bilal Azakir 223 0.9× 77 0.6× 51 0.5× 50 0.8× 59 1.1× 14 351
Bhushan Thakur 257 1.0× 100 0.8× 47 0.4× 27 0.4× 29 0.6× 23 395
Fengming Gong 256 1.0× 81 0.6× 52 0.5× 40 0.6× 28 0.5× 20 397
Ravi Chakra Turaga 223 0.9× 140 1.1× 126 1.2× 53 0.8× 45 0.9× 16 403

Countries citing papers authored by Nikhil Hebbar

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Hebbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Hebbar

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