Saubashya Sur

1.0k total citations
37 papers, 500 citations indexed

About

Saubashya Sur is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Saubashya Sur has authored 37 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Epidemiology and 11 papers in Plant Science. Recurrent topics in Saubashya Sur's work include Genomics and Phylogenetic Studies (11 papers), Mycobacterium research and diagnosis (8 papers) and Tuberculosis Research and Epidemiology (7 papers). Saubashya Sur is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Mycobacterium research and diagnosis (8 papers) and Tuberculosis Research and Epidemiology (7 papers). Saubashya Sur collaborates with scholars based in India, United States and Germany. Saubashya Sur's co-authors include G. S. Khush, Ranjit Singh, Arnab Sen, Ralf R. Schumann, Louis S. Tisa, Dagmar Heydeck, Polamarasetty Aparoy, Thomas Horn, Hartmut Kühn and Djin‐Ye Oh and has published in prestigious journals such as Immunity, Genetics and International Journal of Molecular Sciences.

In The Last Decade

Saubashya Sur

33 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saubashya Sur India 10 213 169 112 80 68 37 500
Minxiu Wang China 16 256 1.2× 140 0.8× 77 0.7× 173 2.2× 97 1.4× 28 619
Abdelaziz Benjouad Morocco 12 235 1.1× 98 0.6× 66 0.6× 43 0.5× 27 0.4× 35 541
Charlotte R. Kleiveland Norway 13 255 1.2× 56 0.3× 79 0.7× 46 0.6× 42 0.6× 35 594
Junbing Jiang China 13 170 0.8× 78 0.5× 91 0.8× 34 0.4× 53 0.8× 32 535
Hao Fan China 19 559 2.6× 156 0.9× 105 0.9× 52 0.7× 46 0.7× 41 987
Lin Cao China 17 414 1.9× 177 1.0× 99 0.9× 63 0.8× 167 2.5× 31 859
George T. Rasmussen United States 14 385 1.8× 95 0.6× 60 0.5× 40 0.5× 77 1.1× 19 682
Jiyun Liu China 12 319 1.5× 176 1.0× 59 0.5× 59 0.7× 103 1.5× 18 599
Isabel Pérez‐Arellano Spain 13 345 1.6× 83 0.5× 32 0.3× 58 0.7× 88 1.3× 16 537
Antonietta Cultrone France 13 503 2.4× 227 1.3× 43 0.4× 34 0.4× 50 0.7× 19 721

Countries citing papers authored by Saubashya Sur

Since Specialization
Citations

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

Fields of papers citing papers by Saubashya Sur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saubashya Sur

This figure shows the co-authorship network connecting the top 25 collaborators of Saubashya Sur. A scholar is included among the top collaborators of Saubashya Sur 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 Saubashya Sur. Saubashya Sur 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
2.
Sur, Saubashya, et al.. (2024). Understanding the bacteria in Mycobacterium avium complex (MAC) from a bioinformatic perspective – a review. Acta Biologica Szegediensis. 67(2). 203–220. 1 indexed citations
4.
Sur, Saubashya. (2023). The pangenome structure of human pathogen Mycobacterium kansasii. Acta Biologica Szegediensis. 66(2). 192–201. 2 indexed citations
5.
Sur, Saubashya, et al.. (2022). Comprehensive review of Mycobacterium ulcerans and Buruli ulcer from a bioinformatics perspective – what have we learnt?. Acta Biologica Szegediensis. 2(65). 233–245. 1 indexed citations
6.
Sur, Saubashya, et al.. (2022). Comprehensive review ofMycobacterium ulceransand Buruli ulcer from a bioinformatics perspective – what have we learnt?. Acta Biologica Szegediensis. 2(65). 233–245. 1 indexed citations
7.
Sur, Saubashya, et al.. (2022). Mycobacterium abscessus: insights from a bioinformatic perspective. Critical Reviews in Microbiology. 49(4). 499–514. 3 indexed citations
8.
Sur, Saubashya. (2021). Understanding the nature and dynamics of Mycobacterium ulcerans cytochrome P450 monooxygenases (CYPs) – a bioinformatics approach. Acta Biologica Szegediensis. 65(1). 93–103. 5 indexed citations
9.
Thada, Shruthi, Gábor Horváth, Mario M. Müller, et al.. (2021). Interaction of TLR4 and TLR8 in the Innate Immune Response against Mycobacterium Tuberculosis. International Journal of Molecular Sciences. 22(4). 1560–1560. 24 indexed citations
10.
Kumpf, Oliver, Saubashya Sur, Jana Eckert, et al.. (2021). A Genetic Variation of Lipopolysaccharide Binding Protein Affects the Inflammatory Response and Is Associated with Improved Outcome during Sepsis. ImmunoHorizons. 5(12). 972–982. 3 indexed citations
11.
Sur, Saubashya. (2020). In silico analysis reveals interrelation of enriched pathways and genes in type 1 diabetes. Immunogenetics. 72(8). 399–412. 5 indexed citations
12.
Thada, Shruthi, Abid Hussain, Saubashya Sur, et al.. (2019). A SNP upstream of the cyclic GMP-AMP synthase (cGAS) gene protects from relapse and extra-pulmonary TB and relates to BCG vaccination status in an Indian cohort. Genes and Immunity. 21(1). 13–26. 7 indexed citations
13.
Thada, Shruthi, Hortense Slevogt, Sumanlatha Gaddam, et al.. (2015). Toll-like receptor 1 variations influence susceptibility and immune response to Mycobacterium tuberculosis. Tuberculosis. 95(3). 328–335. 38 indexed citations
14.
Horn, Thomas, Ralf R. Schumann, Saubashya Sur, et al.. (2014). Evolutionary aspects of lipoxygenases and genetic diversity of human leukotriene signaling. Progress in Lipid Research. 57. 13–39. 76 indexed citations
15.
Sen, Arnab, et al.. (2011). Identification of TTA codon containing genes in Frankia and exploration of the role of tRNA in regulating these genes. Archives of Microbiology. 194(1). 35–45. 6 indexed citations
16.
Goyal, Arvind Kumar, et al.. (2010). EXPLORATION OF CODON USAGE PATTERNS IN SOME BRUCELLA GENOMES. International Journal of Pharma and Bio Sciences.
17.
Sen, Arnab, et al.. (2008). Comparative analysis of codon usage patterns and identification of predicted highly expressed genes in fiveSalmonellagenomes. Indian Journal of Medical Microbiology. 26(4). 313–313. 4 indexed citations
19.
Şen, Sedat, Saubashya Sur, & K. Sengupta. (1968). Genetical studies inCajanus cajan (L.) Millsp.. Theoretical and Applied Genetics. 38(3). 123–125. 3 indexed citations
20.
Jain, H. K., et al.. (1961). Mutation Studies in Annual Chrysanthemum—I. Radiation-Induced Variation in Flower Form. Indian Journal of Genetics and Plant Breeding (The). 21(1). 68–74. 6 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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