Akshay Narkar

25 total papers · 622 total citations
14 papers, 411 citations indexed

About

Akshay Narkar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Akshay Narkar has authored 14 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Akshay Narkar's work include Neuroscience and Neural Engineering (4 papers), Pluripotent Stem Cells Research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Akshay Narkar is often cited by papers focused on Neuroscience and Neural Engineering (4 papers), Pluripotent Stem Cells Research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Akshay Narkar collaborates with scholars based in United States and Singapore. Akshay Narkar's co-authors include Rong Li, Chuankai Zhou, Melainia McClain, Brian D. Slaughter, Jay R. Unruh, Fengli Guo, Zulin Yu, Ksenia Blinova, Pei-Hsun Wu and Daniele M. Gilkes and has published in prestigious journals such as Cell, International Journal of Molecular Sciences and Science Advances.

In The Last Decade

Akshay Narkar

12 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Akshay Narkar 277 129 67 54 53 14 411
Taryn E. Gillies 256 0.9× 155 1.2× 44 0.7× 26 0.5× 47 0.9× 9 376
Fengbao Luo 287 1.0× 189 1.5× 23 0.3× 40 0.7× 13 0.2× 13 476
Michael F. Z. Wang 317 1.1× 81 0.6× 27 0.4× 16 0.3× 23 0.4× 9 424
Emanuele Martini 209 0.8× 208 1.6× 60 0.9× 19 0.4× 17 0.3× 12 441
Miranda V. Hunter 268 1.0× 128 1.0× 52 0.8× 19 0.4× 35 0.7× 13 406
Egor Zindy 201 0.7× 108 0.8× 51 0.8× 23 0.4× 15 0.3× 30 460
Rafael D. Fritz 308 1.1× 173 1.3× 37 0.6× 77 1.4× 62 1.2× 9 439
Teresa Bonello 260 0.9× 223 1.7× 28 0.4× 30 0.6× 26 0.5× 13 427
Ambre Petitalot 316 1.1× 244 1.9× 34 0.5× 35 0.6× 29 0.5× 15 478
Ariel Waisman 329 1.2× 31 0.2× 44 0.7× 21 0.4× 70 1.3× 21 476

Countries citing papers authored by Akshay Narkar

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Narkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Narkar

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