Shailesh Sharma

1.2k total citations
35 papers, 755 citations indexed

About

Shailesh Sharma is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Shailesh Sharma has authored 35 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Plant Science and 11 papers in Cancer Research. Recurrent topics in Shailesh Sharma's work include Cancer-related molecular mechanisms research (10 papers), Genomics and Phylogenetic Studies (8 papers) and Plant and Fungal Interactions Research (5 papers). Shailesh Sharma is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Genomics and Phylogenetic Studies (8 papers) and Plant and Fungal Interactions Research (5 papers). Shailesh Sharma collaborates with scholars based in India, United States and Italy. Shailesh Sharma's co-authors include Santosh Kumar Upadhyay, Kashmir Singh, Shumayla, Garima Bhatia, Mehak Taneja, Shivi Tyagi, Antonio Rosato, Gabriele Cavallaro, Rohit Kumar and Ajay Kumar Pandey and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Shailesh Sharma

30 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailesh Sharma India 17 420 352 123 112 72 35 755
Jinliang Liu China 18 632 1.5× 441 1.3× 61 0.5× 33 0.3× 38 0.5× 65 997
Shuli Fan China 29 1.6k 3.9× 952 2.7× 199 1.6× 29 0.3× 27 0.4× 70 2.0k
Wànkuí Gǒng China 22 1.1k 2.6× 418 1.2× 114 0.9× 14 0.1× 45 0.6× 65 1.4k
Jingwen Li China 20 697 1.7× 481 1.4× 28 0.2× 40 0.4× 32 0.4× 111 1.2k
Xiaoyang Ge China 27 1.8k 4.3× 1.1k 3.2× 73 0.6× 15 0.1× 53 0.7× 83 2.1k
Xinxin Yang China 15 251 0.6× 264 0.8× 24 0.2× 10 0.1× 56 0.8× 30 555
Jinjin Jiang China 24 701 1.7× 751 2.1× 20 0.2× 18 0.2× 104 1.4× 79 1.4k
Vikash Kumar Yadav India 15 449 1.1× 281 0.8× 13 0.1× 21 0.2× 51 0.7× 63 805

Countries citing papers authored by Shailesh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shailesh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailesh Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shailesh Sharma. A scholar is included among the top collaborators of Shailesh 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 Shailesh Sharma. Shailesh 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.
Garg, Priyanka, et al.. (2024). In-silico analysis of cattle blood transcriptome to identify lncRNAs and their role during bovine tuberculosis. Scientific Reports. 14(1). 16537–16537. 1 indexed citations
2.
Kannaki, T. R., et al.. (2024). Breed and timepoint-based analysis of chicken harderian gland transcriptome during Newcastle disease virus challenge. Frontiers in Molecular Biosciences. 11. 1365888–1365888. 2 indexed citations
3.
Kannaki, T. R., et al.. (2024). Integrative study of chicken lung transcriptome to understand the host immune response during Newcastle disease virus challenge. Frontiers in Cellular and Infection Microbiology. 14. 1368887–1368887.
4.
Sharma, Rahul, et al.. (2023). Citrus Genus and its Pharmacological Activities: A Review. 11(1). 39–48. 1 indexed citations
5.
Sharma, Shailesh, et al.. (2023). Integrated analysis of genes and long non-coding RNAs in trachea transcriptome to decipher the host response during Newcastle disease challenge in different breeds of chicken. International Journal of Biological Macromolecules. 253(Pt 5). 127183–127183. 6 indexed citations
6.
Garg, Priyanka, et al.. (2022). Identification and differential expression of long non-coding RNAs and their association with XIST gene during early embryonic developmental stages of Bos taurus. International Journal of Biological Macromolecules. 229. 896–908. 2 indexed citations
8.
Garg, Priyanka, et al.. (2021). Transcriptomic analysis to infer key molecular players involved during host response to NDV challenge in Gallus gallus (Leghorn & Fayoumi). Scientific Reports. 11(1). 8486–8486. 7 indexed citations
9.
Razazan, Atefeh, Prashantha Karunakar, Sidharth P. Mishra, et al.. (2021). Activation of Microbiota Sensing – Free Fatty Acid Receptor 2 Signaling Ameliorates Amyloid-β Induced Neurotoxicity by Modulating Proteolysis-Senescence Axis. Frontiers in Aging Neuroscience. 13. 735933–735933. 21 indexed citations
10.
Sharma, Shailesh, et al.. (2020). Comparative transcriptomics reveals candidate transcription factors involved in costunolide biosynthesis in medicinal plant-Saussurea lappa. International Journal of Biological Macromolecules. 150. 52–67. 16 indexed citations
11.
Sharma, Pushpender Kumar, et al.. (2019). Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil. Journal of Genetic Engineering and Biotechnology. 17(1). 6–6. 18 indexed citations
12.
Bhatia, Garima, et al.. (2019). Genome-wide characterization revealed role of NBS-LRR genes during powdery mildew infection in Vitis vinifera. Genomics. 112(1). 312–322. 52 indexed citations
13.
Tripathi, Neha, Shailesh Sharma, Kamalendra Yadav, et al.. (2017). Identification of Guanosine 5′-diphosphate as Potential Iron Mobilizer: Preventing the Hepcidin-Ferroportin Interaction and Modulating the Interleukin-6/Stat-3 Pathway. Scientific Reports. 7(1). 40097–40097. 20 indexed citations
14.
Shumayla, Shailesh Sharma, Rohit Kumar, et al.. (2016). Genomic Dissection and Expression Profiling Revealed Functional Divergence in Triticum aestivum Leucine Rich Repeat Receptor Like Kinases (TaLRRKs). Frontiers in Plant Science. 7. 1374–1374. 48 indexed citations
15.
Upadhyay, Santosh Kumar, Shailesh Sharma, Harpal Singh, et al.. (2015). Whitefly Genome Expression Reveals Host-Symbiont Interaction in Amino Acid Biosynthesis. PLoS ONE. 10(5). e0126751–e0126751. 24 indexed citations
16.
Upadhyay, Santosh Kumar, Sameer Dixit, Shailesh Sharma, et al.. (2013). siRNA Machinery in Whitefly (Bemisia tabaci). PLoS ONE. 8(12). e83692–e83692. 36 indexed citations
17.
Sharma, Pramod Kumar, et al.. (2011). Hordeum Vulgare Hull in the Design of Fast Disintegrating Tablets. Journal of Young Pharmacists. 3(3). 211–215. 4 indexed citations
18.
Sharma, Shailesh, et al.. (2010). Optimization of promethazine theoclate fast dissolving tablet using pore forming technology by 3-factor, 3-level response surface-full factorial design. Archives of Pharmacal Research. 33(8). 1199–1207. 9 indexed citations
19.
Sharma, Shailesh, Gabriele Cavallaro, & Antonio Rosato. (2010). A systematic investigation of multiheme c-type cytochromes in prokaryotes. JBIC Journal of Biological Inorganic Chemistry. 15(4). 559–571. 63 indexed citations
20.
Sharma, Shailesh, et al.. (1997). An update on eicosanoids and inhibitors of cyclooxygenase enzyme systems.. PubMed. 35(10). 1025–31. 21 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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