Surajit Basak

795 total citations
45 papers, 564 citations indexed

About

Surajit Basak is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Surajit Basak has authored 45 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Infectious Diseases and 9 papers in Ecology. Recurrent topics in Surajit Basak's work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (16 papers) and Bacteriophages and microbial interactions (9 papers). Surajit Basak is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (16 papers) and Bacteriophages and microbial interactions (9 papers). Surajit Basak collaborates with scholars based in India, Ireland and United Kingdom. Surajit Basak's co-authors include Tapash Chandra Ghosh, Pamela Mukhopadhyay, Tania Das Banerjee, Tamoghna Ghosh, Bratati Kahali, Shanta Dutta, Ayan Roy, G. Balakrish Nair, Santasabuj Das and Bhabatosh Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Surajit Basak

41 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Surajit Basak India 13 323 101 92 89 89 45 564
L. Sun China 2 315 1.0× 168 1.7× 95 1.0× 78 0.9× 128 1.4× 4 557
Luís Carlos Guimarães Brazil 12 249 0.8× 86 0.9× 58 0.6× 52 0.6× 174 2.0× 35 519
Emily J. Richardson United Kingdom 10 305 0.9× 116 1.1× 97 1.1× 203 2.3× 81 0.9× 18 587
Simon Gladman Australia 10 219 0.7× 88 0.9× 61 0.7× 121 1.4× 39 0.4× 15 529
Lonneke Scheffer Norway 8 364 1.1× 91 0.9× 146 1.6× 121 1.4× 124 1.4× 16 731
M. Ohnishi Japan 14 182 0.6× 82 0.8× 81 0.9× 152 1.7× 183 2.1× 28 658
Greg Tram Australia 11 199 0.6× 91 0.9× 127 1.4× 56 0.6× 99 1.1× 18 403
Akiko Ishiwa Japan 13 168 0.5× 102 1.0× 58 0.6× 57 0.6× 136 1.5× 24 491
Anderson Rodrigues dos Santos Brazil 12 251 0.8× 54 0.5× 47 0.5× 73 0.8× 144 1.6× 35 512
Antonella Santona Italy 12 186 0.6× 67 0.7× 72 0.8× 105 1.2× 85 1.0× 30 536

Countries citing papers authored by Surajit Basak

Since Specialization
Citations

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

Fields of papers citing papers by Surajit Basak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surajit Basak

This figure shows the co-authorship network connecting the top 25 collaborators of Surajit Basak. A scholar is included among the top collaborators of Surajit Basak 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 Surajit Basak. Surajit Basak 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.
Sk, Roy, et al.. (2025). Quercetin combined with ciprofloxacin and gentamicin inhibits biofilm formation and virulence in Staphylococcus aureus. Microbial Pathogenesis. 200. 107297–107297. 6 indexed citations
2.
Basak, Surajit, Aditya Narayan Konwar, Aparup Patra, et al.. (2025). Phenotypic and molecular insights into a cypovirus isolated from Antheraea assamensis Helfer ( Lepidoptera: Saturniidae ) and modelling of its polyhedrin protein structure. Journal of Biomolecular Structure and Dynamics. 43(18). 11210–11224.
4.
Bhattacharjee, Surajit, et al.. (2024). Insights from Shigella bacteriophage genomes analysis. Bioinformation. 20(12). 2050–2061.
5.
Konwar, Aditya Narayan, et al.. (2024). Antimicrobial potential of Streptomyces sp. NP73 isolated from the forest soil of Northeast India against multi-drug resistant Escherichia coli. Letters in Applied Microbiology. 77(9). 1 indexed citations
6.
De, Rituparna, et al.. (2024). Emerging resistome diversity in clinical Vibrio cholerae strains revealing their role as potential reservoirs of antimicrobial resistance. Molecular Biology Reports. 51(1). 409–409. 1 indexed citations
8.
Basak, Surajit, et al.. (2023). Phylogeny and structural insights of lipase from Halopseudomonas maritima sp. nov., isolated from sea sand. International Microbiology. 26(4). 1021–1031. 1 indexed citations
9.
Jain, Priyanka, Goutam Chowdhury, Surajit Basak, et al.. (2020). Characterization of non-typhoidal Salmonella isolates from children with acute gastroenteritis, Kolkata, India, during 2000–2016. Brazilian Journal of Microbiology. 51(2). 613–627. 34 indexed citations
10.
Ghosh, Tapash Chandra, et al.. (2017). Systematic Analyses and Prediction of Human Drug Side Effect Associated Proteins from the Perspective of Protein Evolution. Genome Biology and Evolution. 9(2). 337–350. 7 indexed citations
11.
Roy, Ayan, et al.. (2017). HIV Progression Depends on Codon and Amino Acid Usage Profile of Envelope Protein and Associated Host-Genetic Influence. Frontiers in Microbiology. 8. 1083–1083. 10 indexed citations
12.
Roy, Ayan, et al.. (2015). Similarity of currently circulating H1N1 virus with the 2009 pandemic clone: Viability of an imminent pandemic. Infection Genetics and Evolution. 32. 107–112. 5 indexed citations
13.
Ghosh, Shubhamoy, Krishnendu Chakraborty, Surajit Basak, et al.. (2011). An adhesion protein of Salmonella enterica serovar Typhi is required for pathogenesis and potential target for vaccine development. Proceedings of the National Academy of Sciences. 108(8). 3348–3353. 55 indexed citations
14.
Mukhopadhyay, Pamela, Surajit Basak, & Tamoghna Ghosh. (2008). Differential Selective Constraints Shaping Codon Usage Pattern of Housekeeping and Tissue-specific Homologous Genes of Rice and Arabidopsis. DNA Research. 15(6). 347–356. 25 indexed citations
15.
Basak, Surajit, et al.. (2008). Unusual codon usage bias in low expression genes of Vibrio cholerae. Bioinformation. 3(5). 213–217. 7 indexed citations
16.
Mukhopadhyay, Pamela, Surajit Basak, & Tapash Chandra Ghosh. (2007). Synonymous codon usage in different protein secondary structural classes of human genes: Implication for increased non-randomness of GC3 rich genes towards protein stability. Journal of Biosciences. 32(S1). 947–963. 23 indexed citations
17.
Kahali, Bratati, Surajit Basak, & Tapash Chandra Ghosh. (2007). Reinvestigating the codon and amino acid usage of S. cerevisiae genome: A new insight from protein secondary structure analysis. Biochemical and Biophysical Research Communications. 354(3). 693–699. 38 indexed citations
18.
Basak, Surajit, Sujata Roy, & Tapash Chandra Ghosh. (2007). On the origin of synonymous codon usage divergence between thermophilic and mesophilic prokaryotes. FEBS Letters. 581(30). 5825–5830. 8 indexed citations
19.
Basak, Surajit, et al.. (2006). Compositional Correlations in Canine Genome Reflects Similarity with Human Genes. BMB Reports. 39(3). 240–246. 7 indexed citations
20.
Basak, Surajit, Syamsundar Mandal, & Tapash Chandra Ghosh. (2004). Correlations between genomic GC levels and optimal growth temperatures: some comments. Biochemical and Biophysical Research Communications. 327(4). 969–970. 12 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

Rankless by CCL
2026