Akash Nayak

27 total papers · 477 total citations
15 papers, 360 citations indexed

About

Akash Nayak is a scholar working on Nephrology, Emergency Medicine and Surgery. According to data from OpenAlex, Akash Nayak has authored 15 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 4 papers in Emergency Medicine and 2 papers in Surgery. Recurrent topics in Akash Nayak's work include Acute Kidney Injury Research (4 papers), Cardiac Arrest and Resuscitation (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Akash Nayak is often cited by papers focused on Acute Kidney Injury Research (4 papers), Cardiac Arrest and Resuscitation (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Akash Nayak collaborates with scholars based in India, Italy and United States. Akash Nayak's co-authors include Claudio Ronco, Mauro Neri, Nevin Katz, Huijuan Mao, Anna Giuliani, Grazia Maria Virzì, Elisa Scalzotto, Alessandra Brocca, Wassawon Ariyanon and Tommaso Hinna Danesi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Value in Health and International Journal of Technology Assessment in Health Care.

In The Last Decade

Akash Nayak

12 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Akash Nayak 201 139 105 82 66 15 360
Lukas Lannemyr 177 0.9× 139 1.0× 120 1.1× 139 1.7× 57 0.9× 21 351
Malene Kærslund Hansen 136 0.7× 143 1.0× 68 0.6× 113 1.4× 45 0.7× 20 340
G. Zanardo 211 1.0× 203 1.5× 64 0.6× 138 1.7× 38 0.6× 11 381
Concetta Rosica 168 0.8× 232 1.7× 67 0.6× 130 1.6× 53 0.8× 12 353
Masayuki Motohiro 204 1.0× 154 1.1× 37 0.4× 37 0.5× 43 0.7× 20 343
Carmelo Dominici 155 0.8× 204 1.5× 72 0.7× 149 1.8× 82 1.2× 23 378
Remo Luciani 159 0.8× 130 0.9× 38 0.4× 117 1.4× 38 0.6× 16 393
Alain Dardashti 211 1.0× 89 0.6× 57 0.5× 69 0.8× 64 1.0× 24 402
David Rodríguez-Castro 91 0.5× 175 1.3× 75 0.7× 134 1.6× 52 0.8× 11 331
Tommaso Aloisio 128 0.6× 188 1.4× 112 1.1× 131 1.6× 80 1.2× 15 362

Countries citing papers authored by Akash Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Akash Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akash Nayak

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