Debaprasad Parai

75 total papers · 923 total citations
40 papers, 589 citations indexed

About

Debaprasad Parai is a scholar working on Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Debaprasad Parai has authored 40 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 14 papers in Molecular Biology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Debaprasad Parai's work include SARS-CoV-2 and COVID-19 Research (10 papers), Zoonotic diseases and public health (8 papers) and SARS-CoV-2 detection and testing (8 papers). Debaprasad Parai is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Zoonotic diseases and public health (8 papers) and SARS-CoV-2 detection and testing (8 papers). Debaprasad Parai collaborates with scholars based in India, United States and Russia. Debaprasad Parai's co-authors include Samir Kumar Mukherjee, Malabika Banerjee, Subrata Chattopadhyay, Sk Tofajjen Hossain, Ekramul Islam, Debdutta Bhattacharya, Sanghamitra Pati, Matrujyoti Pattnaik, Dheeraj K. Singh and Dhrubajyoti Majumdar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Debaprasad Parai

38 papers receiving 579 citations

Author Peers

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

Author						Papers	Cites
Debaprasad Parai	244	133	83	75	66	40	589
Subhomoi Borkotoky	377 1.5×	140 1.1×	75 0.9×	45 0.6×	73 1.1×	28	673
Yonglin Zhou	225 0.9×	125 0.9×	95 1.1×	36 0.5×	45 0.7×	45	661
Fahad Said Khan	171 0.7×	67 0.5×	92 1.1×	54 0.7×	115 1.7×	37	645
Tzar Mohd Nizam Khaithir	120 0.5×	134 1.0×	121 1.5×	24 0.3×	98 1.5×	40	630
Xuzheng Zhou	180 0.7×	79 0.6×	94 1.1×	36 0.5×	70 1.1×	37	616
Ahmed Al Saqr	231 0.9×	38 0.3×	65 0.8×	52 0.7×	37 0.6×	26	599
Bing Li	216 0.9×	47 0.4×	89 1.1×	30 0.4×	96 1.5×	41	622
Ramliza Ramli	171 0.7×	174 1.3×	123 1.5×	22 0.3×	91 1.4×	31	621
Maria Teresa V. Romanos	150 0.6×	84 0.6×	158 1.9×	66 0.9×	134 2.0×	20	610
Mariane Cajubá de Britto Lira Nogueira	179 0.7×	66 0.5×	62 0.7×	36 0.5×	45 0.7×	49	685

Countries citing papers authored by Debaprasad Parai

Since Specialization

Citations

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

Fields of papers citing papers by Debaprasad Parai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debaprasad Parai

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