Ashok Sharma

3.0k total citations
58 papers, 1.9k citations indexed

About

Ashok Sharma is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Ashok Sharma has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Oncology. Recurrent topics in Ashok Sharma's work include Gut microbiota and health (14 papers), Genomics and Phylogenetic Studies (8 papers) and Computational Drug Discovery Methods (5 papers). Ashok Sharma is often cited by papers focused on Gut microbiota and health (14 papers), Genomics and Phylogenetic Studies (8 papers) and Computational Drug Discovery Methods (5 papers). Ashok Sharma collaborates with scholars based in India, United States and Czechia. Ashok Sharma's co-authors include Vineet K. Sharma, Umesh Gupta, Sudheer Gupta, Avinash Gothwal, Prashant Kesharwani, Darshan B. Dhakan, Andrés Gómez, Arun K. Iyer, Joy Scaria and Abhijit Maji and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ashok Sharma

57 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashok Sharma India 24 1.1k 180 175 150 141 58 1.9k
Chang‐Jer Wu Taiwan 31 1.1k 1.0× 201 1.1× 227 1.3× 158 1.1× 186 1.3× 99 2.9k
Subrata Majumdar India 34 1.2k 1.1× 220 1.2× 119 0.7× 90 0.6× 170 1.2× 107 3.1k
Alagiri Srinivasan India 25 744 0.6× 173 1.0× 77 0.4× 100 0.7× 176 1.2× 71 1.7k
Wasaporn Chanput Thailand 17 752 0.7× 325 1.8× 203 1.2× 125 0.8× 77 0.5× 29 2.1k
Kaeko Kamei Japan 25 838 0.7× 338 1.9× 168 1.0× 83 0.6× 240 1.7× 119 2.1k
Regina Leber Austria 23 1.3k 1.1× 131 0.7× 109 0.6× 86 0.6× 175 1.2× 29 1.8k
Wen‐Hsin Lin Taiwan 28 986 0.9× 225 1.3× 294 1.7× 211 1.4× 159 1.1× 83 2.1k
Nilanjan Roy India 23 930 0.8× 208 1.2× 119 0.7× 63 0.4× 100 0.7× 68 2.0k
Xudong Tang China 26 1.3k 1.1× 288 1.6× 116 0.7× 52 0.3× 75 0.5× 136 2.2k

Countries citing papers authored by Ashok Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Sharma. A scholar is included among the top collaborators of Ashok Sharma 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 Ashok Sharma. Ashok Sharma 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.
Cohen, Jennifer D., et al.. (2024). In vitro human ion channel assays predictive of drug-induced seizure. Toxicological Sciences. 203(2). 253–268. 2 indexed citations
3.
Neier, Kari, Noreene M. Shibata, Marie C. Heffern, et al.. (2023). The role of the intestine in metabolic dysregulation in murine Wilson disease. Hepatology Communications. 7(10). 6 indexed citations
4.
Şimşek, Şenay, et al.. (2023). Effect of red wheat, aleurone, and testa layers on colon cancer biomarkers, nitrosative stress, and gut microbiome composition in rats. Food & Function. 14(21). 9617–9634. 1 indexed citations
5.
Sharma, Ashok, Yue Guo, L. J. Johnston, et al.. (2023). Dietary Zinc Supplemented in Organic Form Affects the Expression of Inflammatory Molecules in Swine Intestine. Animals. 13(15). 2519–2519. 3 indexed citations
6.
Sharma, Ashok, et al.. (2022). Dietary zinc restriction affects the expression of genes related to immunity and stress response in the small intestine of pigs. Journal of Nutritional Science. 11. e104–e104. 5 indexed citations
7.
Saxena, Rituja, V. K., Sudheer Gupta, et al.. (2022). Assessing the Effect of Smokeless Tobacco Consumption on Oral Microbiome in Healthy and Oral Cancer Patients. Frontiers in Cellular and Infection Microbiology. 12. 841465–841465. 25 indexed citations
8.
Sharma, Ashok, et al.. (2020). Oral Microbiome Profiling in Smokers with and without Head and Neck Cancer Reveals Variations Between Health and Disease. Cancer Prevention Research. 13(5). 463–474. 23 indexed citations
9.
Sharma, Ashok, et al.. (2020). Molib: A machine learning based classification tool for the prediction of biofilm inhibitory molecules. Genomics. 112(4). 2823–2832. 22 indexed citations
10.
Gómez, Andrés, et al.. (2020). The Horse Gut Microbiome Responds in a Highly Individualized Manner to Forage Lignification. Journal of Equine Veterinary Science. 96. 103306–103306. 9 indexed citations
11.
Sharma, Ashok, Barbora Pafčo, Klára Vlčková, et al.. (2019). Mapping gastrointestinal gene expression patterns in wild primates and humans via fecal RNA-seq. BMC Genomics. 20(1). 493–493. 8 indexed citations
12.
Gupta, Sudheer, et al.. (2016). ProInflam: a webserver for the prediction of proinflammatory antigenicity of peptides and proteins. Journal of Translational Medicine. 14(1). 178–178. 49 indexed citations
13.
Sharma, Ashok, et al.. (2015). Blood brain barrier: An overview on strategies in drug delivery, realisticin vitromodeling andin vivolive tracking. Tissue Barriers. 4(1). e1129476–e1129476. 92 indexed citations
14.
Sharma, Ashok, Ankit Gupta, Sanjiv Kumar, Darshan B. Dhakan, & Vineet K. Sharma. (2015). Woods: A fast and accurate functional annotator and classifier of genomic and metagenomic sequences. Genomics. 106(1). 1–6. 29 indexed citations
15.
Chaudhary, Nikhil, Ashok Sharma, P. C. Agarwal, Ankit Gupta, & Vineet K. Sharma. (2015). 16S Classifier: A Tool for Fast and Accurate Taxonomic Classification of 16S rRNA Hypervariable Regions in Metagenomic Datasets. PLoS ONE. 10(2). e0116106–e0116106. 58 indexed citations
16.
Roy, Sudeep, et al.. (2011). In-silico approaches in comparative genomics, structure prediction and functional characterization of secondary metabolite proteins of Mentha sp.. Plant Omics. 4(7). 354–363. 4 indexed citations
17.
Roy, Sudeep, et al.. (2010). In 'Silico' SSR and FDM Analysis through EST Sequences in 'Ocimum Basilicum'. Plant Omics. 3(4). 121. 23 indexed citations
18.
Tripathi, Kumar Parijat, et al.. (2009). SSR polymorphism in Artemisia annua: Recognition of hotspots for dynamics mutation. Plant Omics. 2(6). 228–237. 4 indexed citations
19.
Sharma, Ashok, Ajay G. Namdeo, & K. R. Mahadik. (2008). Molecular Markers: New Prospects in Plant Genome Analysis. Pharmacognosy Reviews/Bioinformatics Trends/Pharmacognosy review. 2(3). 20 indexed citations
20.
Chawla, Raman, Rajesh Arora, Shikha Singh, et al.. (2007). Radioprotective and Antioxidant Activity of Fractionated Extracts of Berries of Hippophae rhamnoides. Journal of Medicinal Food. 10(1). 101–109. 54 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 Chang‐Jer Wu Breakdown of academic impact, for papers by Subrata Majumdar Breakdown of academic impact, for papers by Alagiri Srinivasan Breakdown of academic impact, for papers by Wasaporn Chanput Breakdown of academic impact, for papers by Kaeko Kamei Breakdown of academic impact, for papers by Regina Leber Breakdown of academic impact, for papers by Wen‐Hsin Lin Breakdown of academic impact, for papers by Nilanjan Roy Breakdown of academic impact, for papers by Xudong Tang
Rankless by CCL
2026