Neeta Datta

24 total papers · 861 total citations
20 papers, 706 citations indexed

About

Neeta Datta is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Neeta Datta has authored 20 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Genetics. Recurrent topics in Neeta Datta's work include Genomics and Phylogenetic Studies (4 papers), Research on Leishmaniasis Studies (4 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). Neeta Datta is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Research on Leishmaniasis Studies (4 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). Neeta Datta collaborates with scholars based in Finland, India and Japan. Neeta Datta's co-authors include Pijush K. Das, J. R. Vedasiromoni, Anindita Ukil, Lopamudra Das, Subir Karmakar, S. Maity, Santu Bandyopadhyay, Snigdha Mukherjee, Sudipan Karmakar and Mikael Skurnik and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and Scientific Reports.

In The Last Decade

Neeta Datta

20 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Neeta Datta	236	149	130	130	113	20	706
Xuedong Ding	382 1.6×	184 1.2×	59 0.5×	180 1.4×	30 0.3×	29	827
Frank Notka	364 1.5×	102 0.7×	73 0.6×	110 0.8×	21 0.2×	22	820
Audrey Le Gouëllec	376 1.6×	165 1.1×	127 1.0×	124 1.0×	58 0.5×	40	787
Chi-Hong Chu	147 0.6×	63 0.4×	119 0.9×	83 0.6×	40 0.4×	27	638
Neeraj Khatri	374 1.6×	41 0.3×	48 0.4×	127 1.0×	26 0.2×	32	789
Lei Zhu	486 2.1×	126 0.8×	210 1.6×	95 0.7×	21 0.2×	22	783
Qing Pan	251 1.1×	93 0.6×	71 0.5×	68 0.5×	26 0.2×	47	623
Jung‐Min Kim	443 1.9×	42 0.3×	183 1.4×	61 0.5×	24 0.2×	41	857
Brian O. Ingram	298 1.3×	88 0.6×	57 0.4×	115 0.9×	29 0.3×	21	649
Abdelaziz Elgaml	327 1.4×	56 0.4×	85 0.7×	93 0.7×	25 0.2×	42	842

Countries citing papers authored by Neeta Datta

Since Specialization

Citations

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

Fields of papers citing papers by Neeta Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeta Datta

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