Pramila Singh

91 total papers · 835 total citations
39 papers, 607 citations indexed

About

Pramila Singh is a scholar working on Molecular Biology, Infectious Diseases and Cancer Research. According to data from OpenAlex, Pramila Singh has authored 39 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Infectious Diseases and 6 papers in Cancer Research. Recurrent topics in Pramila Singh's work include Tuberculosis Research and Epidemiology (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Air Quality and Health Impacts (4 papers). Pramila Singh is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Air Quality and Health Impacts (4 papers). Pramila Singh collaborates with scholars based in United States, South Africa and India. Pramila Singh's co-authors include M. Ian Gilmour, David M. DeMarini, Takahiro Kobayashi, Colin A. J. Dick, Sarah H. Warren, Lance R. Brooks, Samuel M. Cohen, Elliot B. Gordon, Mary J. Daniels and D. Tabor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Pramila Singh

35 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Pramila Singh	334	125	79	78	55	39	607
Jaroslav Janos̆ek	322 1.0×	112 0.9×	65 0.8×	106 1.4×	14 0.3×	29	631
Miao‐Ching Chi	275 0.8×	47 0.4×	40 0.5×	148 1.9×	15 0.3×	28	558
B. Rey deCastro	280 0.8×	32 0.3×	69 0.9×	68 0.9×	20 0.4×	21	511
James T. Purdham	257 0.8×	45 0.4×	73 0.9×	50 0.6×	26 0.5×	43	691
Sinikka Vainiotalo	342 1.0×	40 0.3×	138 1.7×	40 0.5×	36 0.7×	32	605
Seung Do Yu	362 1.1×	107 0.9×	26 0.3×	24 0.3×	8 0.1×	29	518
Min‐Pei Ling	322 1.0×	195 1.6×	20 0.3×	47 0.6×	14 0.3×	39	676
M. Ariel Geer Wallace	230 0.7×	20 0.2×	26 0.3×	128 1.6×	33 0.6×	33	674
Greta Mastrangelo	236 0.7×	109 0.9×	98 1.2×	89 1.1×	7 0.1×	32	682
Lieyang Fan	290 0.9×	46 0.4×	63 0.8×	94 1.2×	9 0.2×	39	684

Countries citing papers authored by Pramila Singh

Since Specialization

Citations

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

Fields of papers citing papers by Pramila Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramila Singh

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