Samarendra Das

471 total citations
43 papers, 290 citations indexed

About

Samarendra Das is a scholar working on Molecular Biology, Agronomy and Crop Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Samarendra Das has authored 43 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Agronomy and Crop Science and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Samarendra Das's work include Gene expression and cancer classification (8 papers), Single-cell and spatial transcriptomics (6 papers) and Bioinformatics and Genomic Networks (6 papers). Samarendra Das is often cited by papers focused on Gene expression and cancer classification (8 papers), Single-cell and spatial transcriptomics (6 papers) and Bioinformatics and Genomic Networks (6 papers). Samarendra Das collaborates with scholars based in India, United States and United Kingdom. Samarendra Das's co-authors include N. Shesh, Anil Rai, Craig J. McClain, Prabina Kumar Meher, Dwijesh Chandra Mishra, Matthew C. Cave, Michael L. Merchant, Xiao‐An Fu, Jianmin Pan and Andrew Phillips and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Samarendra Das

35 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samarendra Das India 11 152 31 25 25 22 43 290
Akemi Ota Japan 9 178 1.2× 49 1.6× 23 0.9× 46 1.8× 31 1.4× 23 405
Yujun Chen China 11 96 0.6× 21 0.7× 23 0.9× 13 0.5× 74 3.4× 23 374
Gibraan Rahman United States 11 189 1.2× 18 0.6× 23 0.9× 14 0.6× 17 0.8× 13 422
Martina Reiter Germany 12 169 1.1× 46 1.5× 46 1.8× 39 1.6× 52 2.4× 18 355
Y Fujino Japan 12 121 0.8× 12 0.4× 26 1.0× 7 0.3× 37 1.7× 35 502
Nancy E. Witowski United States 10 293 1.9× 19 0.6× 6 0.2× 18 0.7× 59 2.7× 14 418
Yumi Ishii Japan 11 64 0.4× 10 0.3× 25 1.0× 8 0.3× 9 0.4× 43 356
Zelin Li China 9 136 0.9× 47 1.5× 11 0.4× 20 0.8× 14 0.6× 39 280
Lisa D’Amato United States 4 172 1.1× 9 0.3× 22 0.9× 6 0.2× 94 4.3× 8 253
Tomasz Suchocki Poland 10 48 0.3× 33 1.1× 24 1.0× 35 1.4× 169 7.7× 38 608

Countries citing papers authored by Samarendra Das

Since Specialization
Citations

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

Fields of papers citing papers by Samarendra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samarendra Das

This figure shows the co-authorship network connecting the top 25 collaborators of Samarendra Das. A scholar is included among the top collaborators of Samarendra Das 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 Samarendra Das. Samarendra Das 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.
2.
Das, Samarendra, et al.. (2024). Impact of triflumezopyrim (insecticide) on blood and serum biochemistry of freshwater fish, subadult Labeo rohita (Hamilton, 1822). Chemosphere. 367. 143554–143554. 2 indexed citations
3.
Biswal, Jitendra K., Samarendra Das, Jajati K. Mohapatra, et al.. (2024). A species-independent indirect-ELISA for detection of antibodies to the non-structural protein 2B of foot-and-mouth disease virus. Biologicals. 87. 101785–101785.
4.
5.
Das, Samarendra, Soumen Pal, Jajati K. Mohapatra, et al.. (2023). Estimation of foot-and-mouth disease virus sero-prevalence rates using novel computational approach for the susceptible bovine population in India during the period 2008–2021. Scientific Reports. 13(1). 22583–22583. 2 indexed citations
6.
Das, Samarendra, et al.. (2022). Five Years of Gene Networks Modeling in Single-cell RNA-sequencingStudies: Current Approaches and Outstanding Challenges. Current Bioinformatics. 17(10). 888–908. 5 indexed citations
7.
Das, Samarendra, Anil Rai, & N. Shesh. (2022). Differential Expression Analysis of Single-Cell RNA-Seq Data: Current Statistical Approaches and Outstanding Challenges. Entropy. 24(7). 995–995. 19 indexed citations
8.
Shesh, N., Samarendra Das, Jianmin Pan, Dwijesh Chandra Mishra, & Xiao‐An Fu. (2022). Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples. PLoS ONE. 17(11). e0277431–e0277431. 14 indexed citations
9.
Singh, Ruchi, et al.. (2022). Stature Estimation from Dimension of Hands and Hand Prints in Dehradun Population. Zenodo (CERN European Organization for Nuclear Research).
10.
Das, Samarendra, Anil Rai, Michael L. Merchant, Matthew C. Cave, & N. Shesh. (2021). A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies. Genes. 12(12). 1947–1947. 21 indexed citations
11.
Das, Samarendra, et al.. (2021). Analysis of Single-Cell RNA-Sequencing Data: A Step-by-Step Guide. BioMedInformatics. 2(1). 43–61. 4 indexed citations
12.
Das, Samarendra & N. Shesh. (2021). Statistical methods for analysis of single-cell RNA-sequencing data. MethodsX. 8. 101580–101580. 4 indexed citations
13.
Das, Samarendra & N. Shesh. (2021). SwarnSeq: An improved statistical approach for differential expression analysis of single-cell RNA-seq data. Genomics. 113(3). 1308–1324. 10 indexed citations
14.
Das, Samarendra & N. Shesh. (2020). Statistical Approach for Biologically Relevant Gene Selection from High-Throughput Gene Expression Data. Entropy. 22(11). 1205–1205. 7 indexed citations
15.
Das, Samarendra, et al.. (2018). Improving performance of cutting derived pomegranate plants using Arbuscular mycorrhizal Fungi. Journal of Pharmacognosy and Phytochemistry. 7. 204–209.
16.
Das, Samarendra, Anil Rai, Dwijesh Chandra Mishra, & N. Shesh. (2018). Statistical Approach for Gene Set Analysis with Trait Specific Quantitative Trait Loci. Scientific Reports. 8(1). 2391–2391. 7 indexed citations
17.
Das, Samarendra, Priyanka Pandey, Anil Rai, & Chinmayee Mohapatra. (2015). A computational system biology approach to construct gene regulatory networks for salinity response in rice (Oryza sativa). The Indian Journal of Agricultural Sciences. 85(12). 1546–1552. 2 indexed citations
18.
Das, Samarendra, et al.. (2014). Effect of systemic and local immunomodulation therapies on conception rate in endometritic cows. 10(2). 1–4. 2 indexed citations
19.
Das, Samarendra, et al.. (2013). Cerebral mass in HIV infection. BMJ. 347(oct24 2). f6314–f6314. 1 indexed citations
20.
Das, Samarendra, et al.. (1991). Mortality events amongst non insulin dependent diabetes mellitus patients in Orissa.. PubMed. 39(7). 519–20. 14 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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