Nina Singh

37 total papers · 815 total citations
23 papers, 473 citations indexed

About

Nina Singh is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nina Singh has authored 23 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Genetics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nina Singh's work include Evolution and Genetic Dynamics (5 papers), Mobile Health and mHealth Applications (3 papers) and Cardiovascular Disease and Adiposity (3 papers). Nina Singh is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Mobile Health and mHealth Applications (3 papers) and Cardiovascular Disease and Adiposity (3 papers). Nina Singh collaborates with scholars based in United States, Canada and United Kingdom. Nina Singh's co-authors include David Mann, Pamela J. Yeh, Oded Nov, Mauricio Cruz‐Loya, Van M. Savage, Elif Tekin, Katharine Lawrence, Robert Damoiseaux, Colin K. L. Phoon and Katherine M. Morrison and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nina Singh

19 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Nina Singh 109 63 62 51 50 23 473
Shemra Rizzo 43 0.4× 48 0.8× 43 0.7× 25 0.5× 35 0.7× 21 528
Julie Chi Chow 52 0.5× 47 0.7× 61 1.0× 23 0.5× 43 0.9× 51 546
Jae Min 57 0.5× 131 2.1× 52 0.8× 8 0.2× 54 1.1× 24 535
Abdel Qader Al Bawab 40 0.4× 15 0.2× 95 1.5× 11 0.2× 24 0.5× 36 496
Özkan Ufuk Nalbantoğlu 7 0.1× 96 1.5× 245 4.0× 11 0.2× 51 1.0× 37 475
Akshay Swaminathan 84 0.8× 81 1.3× 21 0.3× 49 1.0× 35 458
Ehsan Ullah 68 0.6× 68 1.1× 138 2.2× 46 0.9× 49 457
Mireya Martínez-García 18 0.2× 37 0.6× 90 1.5× 2 0.0× 21 0.4× 35 515
Wen‐Hui Fang 24 0.2× 50 0.8× 32 0.5× 40 0.8× 31 458
William Mitchell 132 1.2× 57 0.9× 28 0.5× 108 2.2× 22 410

Countries citing papers authored by Nina Singh

Since Specialization
Citations

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

Fields of papers citing papers by Nina Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Singh

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