Indrajit Saha

1.8k total citations
86 papers, 1.2k citations indexed

About

Indrajit Saha is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Indrajit Saha has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 26 papers in Artificial Intelligence and 21 papers in Infectious Diseases. Recurrent topics in Indrajit Saha's work include SARS-CoV-2 and COVID-19 Research (19 papers), Advanced Clustering Algorithms Research (17 papers) and Machine Learning in Bioinformatics (14 papers). Indrajit Saha is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), Advanced Clustering Algorithms Research (17 papers) and Machine Learning in Bioinformatics (14 papers). Indrajit Saha collaborates with scholars based in India, Poland and Italy. Indrajit Saha's co-authors include Ujjwal Maulik, Dariusz Plewczyński, Nimisha Ghosh, Sanghamitra Bandyopadhyay, Anasua Sarkar, Sandip Dey, Siddhartha Bhattacharyya, Subhadip Basu, Sanghamitra Bandyopadhyay and Kaushik Mitra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Indrajit Saha

84 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indrajit Saha India 20 451 395 267 161 152 86 1.2k
Rajat K. De India 18 343 0.8× 590 1.5× 182 0.7× 116 0.7× 67 0.4× 90 1.3k
Halima Bensmail Qatar 26 468 1.0× 702 1.8× 347 1.3× 103 0.6× 39 0.3× 85 2.0k
Michael L. Raymer United States 18 530 1.2× 660 1.7× 256 1.0× 154 1.0× 21 0.1× 67 1.7k
Zheng Rong Yang United Kingdom 19 253 0.6× 940 2.4× 66 0.2× 213 1.3× 114 0.8× 94 1.9k
Sriram Krishnan United States 22 212 0.5× 314 0.8× 200 0.7× 43 0.3× 41 0.3× 59 1.6k
Bo Liao China 29 253 0.6× 1.6k 3.9× 79 0.3× 216 1.3× 30 0.2× 111 2.1k
Guohui Lin Canada 24 342 0.8× 1.1k 2.9× 121 0.5× 248 1.5× 52 0.3× 171 2.6k
Mario Marchand Canada 20 607 1.3× 356 0.9× 175 0.7× 116 0.7× 42 0.3× 58 1.3k
Laurent Jacob France 16 314 0.7× 905 2.3× 166 0.6× 369 2.3× 42 0.3× 30 1.7k
Zhiqiang Ma China 20 106 0.2× 960 2.4× 90 0.3× 143 0.9× 42 0.3× 64 1.3k

Countries citing papers authored by Indrajit Saha

Since Specialization
Citations

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

Fields of papers citing papers by Indrajit Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indrajit Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Indrajit Saha. A scholar is included among the top collaborators of Indrajit Saha 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 Indrajit Saha. Indrajit Saha 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.
Saha, Indrajit, Michał Łaźniewski, Ayatullah Faruk Mollah, et al.. (2024). Unveiling the Molecular Mechanism of Trastuzumab Resistance in SKBR3 and BT474 Cell Lines for HER2 Positive Breast Cancer. Current Issues in Molecular Biology. 46(3). 2713–2740. 11 indexed citations
3.
4.
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
5.
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
6.
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
7.
Saha, Indrajit, et al.. (2021). Hotspot Mutations in SARS-CoV-2. Frontiers in Genetics. 12. 753440–753440. 10 indexed citations
8.
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
9.
Das, Arijit, Indrajit Saha, & Rafał Scherer. (2020). GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification. Sensors. 20(23). 6823–6823. 5 indexed citations
10.
Saha, Indrajit, et al.. (2020). Prevalence and determinants of geriatric malnutrition among rural populations: A Community based cross-sectional Study in Eastern India. SHILAP Revista de lepidopterología. 6. 2 indexed citations
11.
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
12.
Paul, Sushmita, et al.. (2019). Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. Journal of Biomedical Informatics. 97. 103254–103254. 6 indexed citations
13.
Saha, Indrajit, et al.. (2019). Identification of Breast Cancer Subtype Specific MicroRNAs Using Survival Analysis to Find Their Role in Transcriptomic Regulation. Frontiers in Genetics. 10. 1047–1047. 19 indexed citations
14.
Saha, Indrajit, et al.. (2014). Ensemble learning prediction of protein–protein interactions using proteins functional annotations. Molecular BioSystems. 10(4). 820–830. 40 indexed citations
15.
Saha, Indrajit, et al.. (2013). Improving Performance of Classifiers using Rotational Feature Selection Scheme. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations
16.
Plewczyński, Dariusz, Subhadip Basu, & Indrajit Saha. (2012). AMS 4.0: consensus prediction of post-translational modifications in protein sequences. Amino Acids. 43(2). 573–582. 32 indexed citations
17.
Saha, Indrajit, et al.. (2012). Consensus classification of human leukocyte antigen class II proteins. Immunogenetics. 65(2). 97–105. 10 indexed citations
18.
Saha, Indrajit, Ujjwal Maulik, & Dariusz Plewczyński. (2010). A new multi-objective technique for differential fuzzy clustering. Applied Soft Computing. 11(2). 2765–2776. 48 indexed citations
19.
Saha, Indrajit. (2007). Stability Analysis of the Ant System Dynamics with Non-uniform Pheromone Deposition Rules. Computational intelligence. 1. 28–32. 2 indexed citations
20.
Saha, Indrajit, et al.. (1999). Sentinel surveillance on poliomyelitis and neonatal tetanus: a report.. PubMed. 42(4). 120–5. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rajat K. De Breakdown of academic impact, for papers by Halima Bensmail Breakdown of academic impact, for papers by Michael L. Raymer Breakdown of academic impact, for papers by Zheng Rong Yang Breakdown of academic impact, for papers by Sriram Krishnan Breakdown of academic impact, for papers by Bo Liao Breakdown of academic impact, for papers by Guohui Lin Breakdown of academic impact, for papers by Mario Marchand Breakdown of academic impact, for papers by Laurent Jacob Breakdown of academic impact, for papers by Zhiqiang Ma
Rankless by CCL
2026