Sajib Chakraborty

1.4k total citations
60 papers, 992 citations indexed

About

Sajib Chakraborty is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Sajib Chakraborty has authored 60 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Infectious Diseases and 8 papers in Ecology. Recurrent topics in Sajib Chakraborty's work include SARS-CoV-2 and COVID-19 Research (7 papers), Vibrio bacteria research studies (6 papers) and CRISPR and Genetic Engineering (6 papers). Sajib Chakraborty is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Vibrio bacteria research studies (6 papers) and CRISPR and Genetic Engineering (6 papers). Sajib Chakraborty collaborates with scholars based in Bangladesh, Germany and United States. Sajib Chakraborty's co-authors include Musaddeque Ahmed, Taibur Rahman, Md. Ismail Hosen, Hossain Uddin Shekhar, Rajib Chakravorty, Geoffroy Andrieux, Rezaul Islam, Iffat Jahan, Aubhishek Zaman and Dipankar Chattopadhyay and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Nanotechnology.

In The Last Decade

Sajib Chakraborty

53 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sajib Chakraborty Bangladesh 16 525 165 102 98 92 60 992
Krishan Kumar India 18 667 1.3× 80 0.5× 138 1.4× 140 1.4× 65 0.7× 53 1.3k
Ming‐Yi Ho Taiwan 18 541 1.0× 101 0.6× 76 0.7× 120 1.2× 158 1.7× 28 976
Linhai Li China 23 592 1.1× 285 1.7× 229 2.2× 153 1.6× 115 1.3× 83 1.3k
Huanyu Tao China 12 995 1.9× 92 0.6× 246 2.4× 85 0.9× 86 0.9× 21 1.5k
Megan Garland United States 15 408 0.8× 76 0.5× 143 1.4× 126 1.3× 73 0.8× 21 899
Xin Hu China 20 551 1.0× 183 1.1× 42 0.4× 147 1.5× 174 1.9× 67 1.2k
James D. Chang United States 19 729 1.4× 51 0.3× 99 1.0× 117 1.2× 243 2.6× 55 1.7k
Jyoti Sharma India 19 663 1.3× 63 0.4× 97 1.0× 129 1.3× 140 1.5× 64 1.2k
Brian Webb United States 18 778 1.5× 73 0.4× 54 0.5× 62 0.6× 86 0.9× 35 1.2k

Countries citing papers authored by Sajib Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Sajib Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajib Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Sajib Chakraborty. A scholar is included among the top collaborators of Sajib Chakraborty 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 Sajib Chakraborty. Sajib Chakraborty 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.
Jain, Akhil, Haowei Wang, Sajib Chakraborty, et al.. (2024). EXTH-61. TOWARDS A QUANTUM THERAPY FOR GLIOBLASTOMA: A NEW THERAPEUTIC PARADIGM IN MEDICINE. Neuro-Oncology. 26(Supplement_8). viii250–viii250.
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3.
Jain, Akhil, Shao-Chuang Liu, Haowei Wang, et al.. (2023). Wireless electrical–molecular quantum signalling for cancer cell apoptosis. Nature Nanotechnology. 19(1). 106–114. 35 indexed citations
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5.
Andrieux, Geoffroy, Jakob Straehle, Simon Paine, et al.. (2023). Spatially resolved transcriptomic profiles reveal unique defining molecular features of infiltrative 5ALA-metabolizing cells associated with glioblastoma recurrence. Genome Medicine. 15(1). 48–48. 23 indexed citations
6.
Chakraborty, Sajib, et al.. (2023). The genotypes A/A and C/C of rs17878703 and rs3175105, respectively in HLA-DRB1 confers risk of COVID-19 severity in Bangladeshi population. Gene Reports. 33. 101820–101820. 2 indexed citations
7.
Chakraborty, Sajib, et al.. (2023). A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer. Heliyon. 9(10). e21058–e21058.
8.
Chakraborty, Sajib, et al.. (2022). Prediction of Putative Potential Sirnas for Inhibiting SARS-CoV-2 Strains, Including Variants of Concern and Interest. Future Microbiology. 17(6). 449–463. 4 indexed citations
9.
Abdelrazig, Salah, Catherine A. Ortori, Sean May, et al.. (2022). Lipoprotein Deprivation Reveals a Cholesterol-Dependent Therapeutic Vulnerability in Diffuse Glioma Metabolism. Cancers. 14(16). 3873–3873. 3 indexed citations
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Mukherjee, Tanmoy, et al.. (2022). Prevalence of Under Nutrition and Its Risk Factors among Children below Two Years of Age in a Tertiary Health Centre in West Bengal. SHILAP Revista de lepidopterología. 13(4). 253–258.
12.
Maiwald, Tim, Marcel Schilling, Annette Schneider, et al.. (2020). Identification of Interleukin1β as an Amplifier of Interferon alpha-induced Antiviral Responses. PLoS Pathogens. 16(10). e1008461–e1008461. 6 indexed citations
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Andrieux, Geoffroy, et al.. (2020). Alteration of Proteotranscriptomic Landscape Reveals the Transcriptional Regulatory Circuits Controlling Key-Signaling Pathways and Metabolic Reprogramming During Tumor Evolution. Frontiers in Cell and Developmental Biology. 8. 586479–586479. 8 indexed citations
15.
Chakraborty, Sajib, Geoffroy Andrieux, Musaddeque Ahmed, et al.. (2019). Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers. Scientific Reports. 9(1). 12322–12322. 17 indexed citations
16.
Chakraborty, Sajib, et al.. (2018). Evolutionary Divergence of Brain-specific Precursor miRNAs Drives Efficient Processing and Production of Mature miRNAs in Human. Neuroscience. 392. 141–159. 4 indexed citations
17.
Chakraborty, Sajib, Md. Ismail Hosen, Musaddeque Ahmed, & Hossain Uddin Shekhar. (2018). Onco-Multi-OMICS Approach: A New Frontier in Cancer Research. BioMed Research International. 2018. 1–14. 213 indexed citations
18.
Chakraborty, Sajib, Astrid von Mentzer, Yasmin Ara Begum, et al.. (2018). Phenotypic and genomic analyses of bacteriophages targeting environmental and clinical CS3-expressing enterotoxigenic Escherichia coli (ETEC) strains. PLoS ONE. 13(12). e0209357–e0209357. 10 indexed citations
19.
Chakraborty, Sajib & Taibur Rahman. (2016). ecancermedicalscience. ecancermedicalscience. 6. ed16–ed16. 139 indexed citations
20.
Chakraborty, Sajib, et al.. (2012). HLA Supertypes Contribute in HIV Type 1 Cytotoxic T Lymphocyte Epitope Clustering in Nef and Gag Proteins. AIDS Research and Human Retroviruses. 29(2). 270–278. 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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