Paresh Sharma

1.1k total citations
33 papers, 787 citations indexed

About

Paresh Sharma is a scholar working on Infectious Diseases, Parasitology and Molecular Biology. According to data from OpenAlex, Paresh Sharma has authored 33 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 13 papers in Parasitology and 12 papers in Molecular Biology. Recurrent topics in Paresh Sharma's work include Vector-borne infectious diseases (12 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Insect and Pesticide Research (6 papers). Paresh Sharma is often cited by papers focused on Vector-borne infectious diseases (12 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Insect and Pesticide Research (6 papers). Paresh Sharma collaborates with scholars based in India, United States and Australia. Paresh Sharma's co-authors include Vasundhra Bhandari, Sanjay A. Desai, Wang Nguitragool, Ajay D. Pillai, Kempaiah Rayavara, L. Aravind, Abdullah A. B. Bokhari, Hiral Mistry, R. Saravanan and Sanjay Singh and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Paresh Sharma

32 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paresh Sharma India 16 296 250 210 198 108 33 787
Yun Young Go United States 21 229 0.8× 213 0.9× 762 3.6× 40 0.2× 36 0.3× 67 1.5k
Cheryl I. Murphy United States 16 82 0.3× 497 2.0× 177 0.8× 173 0.9× 48 0.4× 22 1.0k
Easwaran Sreekumar India 20 698 2.4× 290 1.2× 597 2.8× 37 0.2× 99 0.9× 52 1.3k
Julio Alonso-Padilla Spain 21 523 1.8× 273 1.1× 232 1.1× 108 0.5× 37 0.3× 59 994
Clotilde Silvia Cabassi Italy 18 73 0.2× 152 0.6× 99 0.5× 78 0.4× 12 0.1× 53 736
Alejandro Castellanos-González United States 23 161 0.5× 295 1.2× 502 2.4× 740 3.7× 26 0.2× 44 1.3k
Jingliang Su China 19 498 1.7× 311 1.2× 572 2.7× 52 0.3× 13 0.1× 38 1.3k
Juliana Felipetto Cargnelutti Brazil 17 86 0.3× 127 0.5× 138 0.7× 89 0.4× 14 0.1× 118 963
Manidipa Banerjee India 20 100 0.3× 409 1.6× 254 1.2× 31 0.2× 26 0.2× 56 1.0k
Saumya Bhaduri United States 25 148 0.5× 532 2.1× 259 1.2× 65 0.3× 35 0.3× 64 1.4k

Countries citing papers authored by Paresh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Paresh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paresh Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Paresh Sharma. A scholar is included among the top collaborators of Paresh 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 Paresh Sharma. Paresh 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.
Bhandari, Vasundhra, et al.. (2025). Theileria annulata Hijacks Host Signaling: Integrated Phosphoproteomics and Transcriptomics Unveils ERK1/2 as a Central Regulator of Host Transcription Factors. Molecular & Cellular Proteomics. 24(6). 100992–100992. 1 indexed citations
2.
Bhandari, Vasundhra, et al.. (2023). Artemisinin derivatives induce oxidative stress leading to DNA damage and caspase-mediated apoptosis in Theileria annulata-transformed cells. Cell Communication and Signaling. 21(1). 78–78. 11 indexed citations
3.
Bhandari, Vasundhra, et al.. (2023). Multiplex ddPCR: A Promising Diagnostic Assay for Early Detection and Drug Monitoring in Bovine Theileriosis. Pathogens. 12(2). 296–296. 6 indexed citations
4.
Qayum, Arem, et al.. (2022). Synergistic combination of PMBA and 5-fluorouracil (5-FU) in targeting mutant KRAS in 2D and 3D colorectal cancer cells. Heliyon. 8(4). e09103–e09103. 7 indexed citations
5.
Kumar, Pankaj, et al.. (2021). Development of Novel Multiplex PCR for Diagnosis of Co-infected Hemo-parasites in Cattle. Indian Journal of Animal Research.
6.
Bhandari, Vasundhra, et al.. (2021). Population Genetic Analysis of the Theileria annulata Parasites Identified Limited Diversity and Multiplicity of Infection in the Vaccine From India. Frontiers in Microbiology. 11. 579929–579929. 15 indexed citations
7.
Bhandari, Vasundhra, et al.. (2021). Antitheilerial Activity of the Anticancer Histone Deacetylase Inhibitors. Frontiers in Microbiology. 12. 759817–759817. 6 indexed citations
8.
Sharma, Paresh, et al.. (2019). Decreased expression of femXAB genes and fnbp mediated biofilm pathways in OS-MRSA clinical isolates. Scientific Reports. 9(1). 16028–16028. 19 indexed citations
9.
Tripathy, Suryasnata, Vasundhra Bhandari, Paresh Sharma, Siva Rama Krishna Vanjari, & Shiv Govind Singh. (2019). Chemiresistive DNA hybridization sensor with electrospun nanofibers: A method to minimize inter-device variability. Biosensors and Bioelectronics. 133. 24–31. 30 indexed citations
10.
Bhandari, Vasundhra, et al.. (2018). A Real-Time PCR based assay for determining parasite to host ratio and parasitaemia in the clinical samples of Bovine Theileriosis. Scientific Reports. 8(1). 15441–15441. 20 indexed citations
11.
12.
Mistry, Hiral, et al.. (2017). Potential Sabotage of Host Cell Physiology by Apicomplexan Parasites for Their Survival Benefits. Frontiers in Immunology. 8. 1261–1261. 34 indexed citations
13.
14.
Sharma, Paresh, et al.. (2016). Assessment of immune response to a lyophilized peste-des-petitsruminants virus vaccine in three different breeds of goats. Veterinary World. 9(6). 568–571. 8 indexed citations
15.
Bhandari, Vasundhra, et al.. (2016). Phylogenetic relationship and genotypic variability in Anaplasma marginale strains causing anaplasmosis in India. Infection Genetics and Evolution. 48. 71–75. 17 indexed citations
16.
Sharma, Paresh, et al.. (2016). Seroprevalence of Peste Des Petits Ruminants in Goats in Assam, India. Asian Journal of Animal and Veterinary Advances. 11(3). 210–212. 8 indexed citations
17.
Bhandari, Vasundhra, et al.. (2015). Emergence of new genotype and diversity of Theileria orientalis parasites from bovines in India. Infection Genetics and Evolution. 36. 27–34. 13 indexed citations
18.
Bhandari, Vasundhra, et al.. (2015). Molecular and Phylogenetic analysis revealed new genotypes of Theileria annulata parasites from India. Parasites & Vectors. 8(1). 468–468. 37 indexed citations
19.
Sharma, Paresh, Kurt Wollenberg, Morgan M. Sellers, et al.. (2013). An Epigenetic Antimalarial Resistance Mechanism Involving Parasite Genes Linked to Nutrient Uptake. Journal of Biological Chemistry. 288(27). 19429–19440. 68 indexed citations
20.
Nguitragool, Wang, Abdullah A. B. Bokhari, Ajay D. Pillai, et al.. (2011). Malaria Parasite clag3 Genes Determine Channel-Mediated Nutrient Uptake by Infected Red Blood Cells. Cell. 145(5). 665–677. 190 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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