Bina Nayak

22 total papers · 441 total citations
18 papers, 335 citations indexed

About

Bina Nayak is a scholar working on Molecular Biology, Water Science and Technology and Ecology. According to data from OpenAlex, Bina Nayak has authored 18 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Water Science and Technology and 4 papers in Ecology. Recurrent topics in Bina Nayak's work include Fecal contamination and water quality (5 papers), Mycobacterium research and diagnosis (3 papers) and Gut microbiota and health (3 papers). Bina Nayak is often cited by papers focused on Fecal contamination and water quality (5 papers), Mycobacterium research and diagnosis (3 papers) and Gut microbiota and health (3 papers). Bina Nayak collaborates with scholars based in United States, India and Malaysia. Bina Nayak's co-authors include Valerie J. Harwood, Brian D. Badgley, Jennifer Weidhaas, Anna C. Llewellyn, Claressa E. Lucas, Ellen Brown, Jonas M. Winchell, Brian H. Raphael, Sarah Roberts and Alya Limayem and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Bina Nayak

17 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Bina Nayak 118 86 75 66 64 18 335
Patricia L. Seyfried 142 1.2× 94 1.1× 54 0.7× 28 0.4× 69 1.1× 17 345
M During 124 1.1× 71 0.8× 45 0.6× 42 0.6× 113 1.8× 11 335
Rajani Ghaju Shrestha 145 1.2× 42 0.5× 57 0.8× 43 0.7× 54 0.8× 24 395
A. W. Hoadley 78 0.7× 44 0.5× 52 0.7× 49 0.7× 54 0.8× 16 332
J. I. Oragui 194 1.6× 76 0.9× 51 0.7× 32 0.5× 32 0.5× 17 304
Christelle Schang 166 1.4× 76 0.9× 51 0.7× 39 0.6× 33 0.5× 24 371
Colin Fricker 84 0.7× 77 0.9× 71 0.9× 147 2.2× 66 1.0× 7 396
Gregory T. Kleinheinz 231 2.0× 79 0.9× 40 0.5× 25 0.4× 44 0.7× 21 392
G. Gregová 81 0.7× 34 0.4× 49 0.7× 109 1.7× 48 0.8× 27 375
Shannon L. Braithwaite 91 0.8× 33 0.4× 62 0.8× 54 0.8× 55 0.9× 9 342

Countries citing papers authored by Bina Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Bina Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bina Nayak

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