Nimisha Ghosh

606 total citations
42 papers, 383 citations indexed

About

Nimisha Ghosh is a scholar working on Molecular Biology, Infectious Diseases and Computer Networks and Communications. According to data from OpenAlex, Nimisha Ghosh has authored 42 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Infectious Diseases and 11 papers in Computer Networks and Communications. Recurrent topics in Nimisha Ghosh's work include SARS-CoV-2 and COVID-19 Research (18 papers), Energy Efficient Wireless Sensor Networks (9 papers) and vaccines and immunoinformatics approaches (8 papers). Nimisha Ghosh is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (18 papers), Energy Efficient Wireless Sensor Networks (9 papers) and vaccines and immunoinformatics approaches (8 papers). Nimisha Ghosh collaborates with scholars based in India, Poland and Italy. Nimisha Ghosh's co-authors include Indrajit Banerjee, Indrajit Saha, R. Simon Sherratt, Kaushik Mitra, Dariusz Plewczyński, Daniele Santoni, Amlan Chakrabarti, Prasant Mohapatra, Tuhina Samanta and Giovanni Felici and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Nimisha Ghosh

40 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nimisha Ghosh India 11 134 131 103 100 38 42 383
Swarnendu Kumar Chakraborty India 11 140 1.0× 108 0.8× 37 0.4× 81 0.8× 91 2.4× 60 444
Beata J. Wysocki Australia 12 195 1.5× 37 0.3× 95 0.9× 252 2.5× 28 0.7× 71 493
Bahareh Nikpour Iran 9 26 0.2× 161 1.2× 103 1.0× 68 0.7× 219 5.8× 18 538
Russell Higgs Ireland 11 85 0.6× 51 0.4× 26 0.3× 103 1.0× 89 2.3× 57 554
Ahmed Ibrahem Hafez Egypt 14 42 0.3× 206 1.6× 66 0.6× 47 0.5× 142 3.7× 32 561
Felipe Cabarcas Colombia 13 231 1.7× 60 0.5× 67 0.7× 78 0.8× 33 0.9× 34 449
Anthony J. Macula United States 9 59 0.4× 110 0.8× 187 1.8× 61 0.6× 113 3.0× 29 331
Yongguo Mei United States 12 106 0.8× 19 0.1× 120 1.2× 15 0.1× 37 1.0× 18 418

Countries citing papers authored by Nimisha Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Nimisha Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nimisha Ghosh

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

All Works

20 of 20 papers shown
1.
Dramiński, Michał, M Łapiński, Gabriela Adriana Filip, et al.. (2025). Unveiling Epigenetic Regulatory Elements Associated with Breast Cancer Development. International Journal of Molecular Sciences. 26(14). 6558–6558. 1 indexed citations
2.
Ghosh, Nimisha, Daniele Santoni, Indrajit Saha, & Giovanni Felici. (2025). A review on the applications of Transformer-based language models for nucleotide sequence analysis. Computational and Structural Biotechnology Journal. 27. 1244–1254. 1 indexed citations
3.
Ghosh, Nimisha, Daniele Santoni, Indrajit Saha, & Giovanni Felici. (2024). Predicting Transcription Factor Binding Sites with Deep Learning. International Journal of Molecular Sciences. 25(9). 4990–4990. 8 indexed citations
4.
Santoni, Daniele, et al.. (2023). Transcription Factor Driven Gene Regulation in COVID-19 Patients. Viruses. 15(5). 1188–1188. 1 indexed citations
5.
Ghosh, Nimisha, et al.. (2022). Phylogenetic analysis of 17271 Indian SARS-CoV-2 genomes to identify temporal and spatial hotspot mutations. PLoS ONE. 17(3). e0265579–e0265579. 4 indexed citations
6.
Ghosh, Nimisha, et al.. (2022). A review on evolution of emerging SARS-CoV-2 variants based on spike glycoprotein. International Immunopharmacology. 105. 108565–108565. 46 indexed citations
7.
Ghosh, Nimisha, et al.. (2022). Palindromic target site identification in SARS-CoV-2, MERS-CoV and SARS-CoV-1 by adopting CRISPR-Cas technique. Gene. 818. 146136–146136. 2 indexed citations
8.
Ghosh, Nimisha, et al.. (2021). Interactome of human and SARS-CoV-2 proteins to identify human hub proteins associated with comorbidities. Computers in Biology and Medicine. 138. 104889–104889. 9 indexed citations
9.
Ghosh, Nimisha, et al.. (2021). Genome-wide analysis of 10664 SARS-CoV-2 genomes to identify virus strains in 73 countries based on single nucleotide polymorphism. Virus Research. 298. 198401–198401. 3 indexed citations
10.
Saha, Indrajit, et al.. (2021). Hotspot Mutations in SARS-CoV-2. Frontiers in Genetics. 12. 753440–753440. 10 indexed citations
11.
Ghosh, Nimisha, et al.. (2021). Strategies for COVID-19 Epidemiological Surveillance in India: Overall Policies Till June 2021. Frontiers in Public Health. 9. 708224–708224. 1 indexed citations
12.
Ghosh, Nimisha, et al.. (2021). Characterisation of SARS-CoV-2 clades based on signature SNPs unveils continuous evolution. Methods. 203. 282–296. 5 indexed citations
13.
Ghosh, Nimisha, et al.. (2021). Immunogenicity and antigenicity based T-cell and B-cell epitopes identification from conserved regions of 10664 SARS-CoV-2 genomes. Infection Genetics and Evolution. 92. 104823–104823. 8 indexed citations
14.
Santoni, Daniele, Nimisha Ghosh, & Indrajit Saha. (2021). An entropy-based study on mutational trajectory of SARS-CoV-2 in India. Infection Genetics and Evolution. 97. 105154–105154. 6 indexed citations
15.
Saha, Indrajit, et al.. (2021). COVID-DeepPredictor: Recurrent Neural Network to Predict SARS-CoV-2 and Other Pathogenic Viruses. Frontiers in Genetics. 12. 569120–569120. 12 indexed citations
16.
Saha, Indrajit, et al.. (2020). Identification of miRNA Biomarkers for Diverse Cancer Types Using Statistical Learning Methods at the Whole-Genome Scale. Frontiers in Genetics. 11. 982–982. 5 indexed citations
17.
Saha, Indrajit, et al.. (2020). Inferring the genetic variability in Indian SARS-CoV-2 genomes using consensus of multiple sequence alignment techniques. Infection Genetics and Evolution. 85. 104522–104522. 12 indexed citations
18.
Saha, Indrajit, et al.. (2020). Genome-wide analysis of Indian SARS-CoV-2 genomes for the identification of genetic mutation and SNP. Infection Genetics and Evolution. 85. 104457–104457. 31 indexed citations
19.
Ghosh, Nimisha, et al.. (2019). Outlier Detection in Sensor Data Using Machine Learning Techniques for IoT Framework and Wireless Sensor Networks: A Brief Study. CINECA IRIS Institutial research information system (University of Pisa). 187–190. 20 indexed citations
20.
Ghosh, Nimisha, et al.. (2019). Differential Evolution and Mobile Sink Based On-Demand Clustering Protocol for Wireless Sensor Network. Wireless Personal Communications. 109(3). 1875–1895. 5 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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