Neeta Sarkar-Roy

757 total citations
7 papers, 253 citations indexed

About

Neeta Sarkar-Roy is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Neeta Sarkar-Roy has authored 7 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Immunology and 1 paper in Molecular Biology. Recurrent topics in Neeta Sarkar-Roy's work include Immune Response and Inflammation (2 papers), Influenza Virus Research Studies (1 paper) and Genetic Associations and Epidemiology (1 paper). Neeta Sarkar-Roy is often cited by papers focused on Immune Response and Inflammation (2 papers), Influenza Virus Research Studies (1 paper) and Genetic Associations and Epidemiology (1 paper). Neeta Sarkar-Roy collaborates with scholars based in India, United States and Canada. Neeta Sarkar-Roy's co-authors include Partha P. Majumder, Analabha Basu, Diane K. Wagener, Souvik Mukherjee, A Chatterjee, Herman F. Staats, Duraisamy Kalpana, Abhijit Chowdhury, Kausik Das and P. Basu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and European Journal of Human Genetics.

In The Last Decade

Neeta Sarkar-Roy

7 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Neeta Sarkar-Roy India 6 115 61 58 31 21 7 253
Matthieu Deschamps France 5 104 0.9× 71 1.2× 124 2.1× 34 1.1× 37 1.8× 5 282
Da Di Switzerland 9 87 0.8× 182 3.0× 84 1.4× 13 0.4× 75 3.6× 16 322
Shuyi Han China 11 38 0.3× 54 0.9× 59 1.0× 21 0.7× 29 1.4× 28 219
A. G. Romaschenko Russia 13 122 1.1× 106 1.7× 189 3.3× 51 1.6× 117 5.6× 30 570
BW Koons United States 9 358 3.1× 51 0.8× 369 6.4× 20 0.6× 8 0.4× 11 604
J. Longás Valién Spain 10 82 0.7× 342 5.6× 72 1.2× 38 1.2× 5 0.2× 29 496
Miguel Alvarez Spain 10 57 0.5× 268 4.4× 56 1.0× 14 0.5× 5 0.2× 12 348
M. González‐Hevilla Spain 8 63 0.5× 340 5.6× 68 1.2× 32 1.0× 4 0.2× 12 433
Carla Cristina Squaiella‐Baptistão Brazil 13 141 1.2× 97 1.6× 98 1.7× 53 1.7× 21 1.0× 23 374
Andy Chan Hong Kong 9 57 0.5× 34 0.6× 114 2.0× 84 2.7× 59 2.8× 13 281

Countries citing papers authored by Neeta Sarkar-Roy

Since Specialization
Citations

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

Fields of papers citing papers by Neeta Sarkar-Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeta Sarkar-Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Neeta Sarkar-Roy. A scholar is included among the top collaborators of Neeta Sarkar-Roy 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 Sarkar-Roy. Neeta Sarkar-Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Basu, Analabha, Neeta Sarkar-Roy, & Partha P. Majumder. (2016). Genomic reconstruction of the history of extant populations of India reveals five distinct ancestral components and a complex structure. Proceedings of the National Academy of Sciences. 113(6). 1594–1599. 110 indexed citations
2.
Chatterjee, A, Analabha Basu, Abhijit Chowdhury, et al.. (2015). Comparative analyses of genetic risk prediction methods reveal extreme diversity of genetic predisposition to nonalcoholic fatty liver disease (NAFLD) among ethnic populations of India. Journal of Genetics. 94(1). 105–113. 11 indexed citations
3.
Biswas, Nidhan K., Vikas Chandra, Neeta Sarkar-Roy, et al.. (2015). Variant allele frequency enrichment analysis in vitro reveals sonic hedgehog pathway to impede sustained temozolomide response in GBM. Scientific Reports. 5(1). 7915–7915. 14 indexed citations
4.
Sarkar-Roy, Neeta, et al.. (2013). Polymorphisms of four pigmentation genes (SLC45A2, SLC24A5, MC1R and TYRP1) among eleven endogamous populations of India. Journal of Genetics. 92(1). 135–139. 11 indexed citations
5.
Majumder, Partha P., Neeta Sarkar-Roy, Herman F. Staats, et al.. (2012). Genomic correlates of variability in immune response to an oral cholera vaccine. European Journal of Human Genetics. 21(9). 1000–1006. 5 indexed citations
6.
Majumder, Partha P., et al.. (2009). Genetic determinants of immune-response to a polysaccharide vaccine for typhoid. PubMed. 3(1-4). 17–30. 11 indexed citations
7.
Mukherjee, Souvik, Neeta Sarkar-Roy, Diane K. Wagener, & Partha P. Majumder. (2009). Signatures of natural selection are not uniform across genes of innate immune system, but purifying selection is the dominant signature. Proceedings of the National Academy of Sciences. 106(17). 7073–7078. 91 indexed citations

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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