Jayanthi Shastri

2.5k total citations
80 papers, 1.2k citations indexed

About

Jayanthi Shastri is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jayanthi Shastri has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Infectious Diseases, 26 papers in Epidemiology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jayanthi Shastri's work include SARS-CoV-2 and COVID-19 Research (16 papers), Mosquito-borne diseases and control (12 papers) and COVID-19 Clinical Research Studies (11 papers). Jayanthi Shastri is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (16 papers), Mosquito-borne diseases and control (12 papers) and COVID-19 Clinical Research Studies (11 papers). Jayanthi Shastri collaborates with scholars based in India, United States and United Kingdom. Jayanthi Shastri's co-authors include Sachee Agrawal, Ajita Mehta, Ajit Lalvani, Ansar A. Pathan, Katie Ewer, Katalin A. Wilkinson, Adrian V. S. Hill, Camilla Rodrigues, Punam Nagvenkar and Zarir Udwadia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Jayanthi Shastri

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayanthi Shastri India 18 763 385 218 180 179 80 1.2k
Nancy S. Miller United States 20 568 0.7× 411 1.1× 153 0.7× 56 0.3× 171 1.0× 43 1.1k
Chang Kyung Kang South Korea 23 1.1k 1.4× 218 0.6× 73 0.3× 92 0.5× 197 1.1× 95 1.7k
Gesham Magombedze United States 19 571 0.7× 550 1.4× 202 0.9× 109 0.6× 172 1.0× 52 1.1k
Daniel S. Chertow United States 20 955 1.3× 719 1.9× 170 0.8× 49 0.3× 337 1.9× 58 1.9k
Lelia H. Chaisson United States 17 723 0.9× 392 1.0× 498 2.3× 119 0.7× 158 0.9× 40 1.3k
Devendra Bansal Qatar 21 449 0.6× 266 0.7× 373 1.7× 202 1.1× 202 1.1× 70 1.3k
Bradly P. Nicholson United States 17 554 0.7× 681 1.8× 192 0.9× 86 0.5× 409 2.3× 36 1.4k
Taufiqur Rahman Bhuiyan Bangladesh 26 666 0.9× 305 0.8× 89 0.4× 109 0.6× 260 1.5× 108 1.8k
Thushan I. de Silva United Kingdom 23 1.3k 1.8× 497 1.3× 134 0.6× 49 0.3× 359 2.0× 91 2.2k
Benoît Visseaux France 24 1.3k 1.7× 685 1.8× 67 0.3× 75 0.4× 217 1.2× 122 1.9k

Countries citing papers authored by Jayanthi Shastri

Since Specialization
Citations

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

Fields of papers citing papers by Jayanthi Shastri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanthi Shastri

This figure shows the co-authorship network connecting the top 25 collaborators of Jayanthi Shastri. A scholar is included among the top collaborators of Jayanthi Shastri 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 Jayanthi Shastri. Jayanthi Shastri 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.
Singh, Mini P., Jayanthi Shastri, A. Phukan, et al.. (2024). Whole genome analysis of Human Mastadenovirus D causing Keratoconjunctivitis in India - A multicentre study. The Journal of Infection in Developing Countries. 18(3). 450–457. 1 indexed citations
3.
Singh, Arpita, et al.. (2023). Evidence of emerging sexually transmitted Mycoplasma genitalium infection among women detected using multiplex and uniplex PCR. Indian Journal of Dermatology Venereology and Leprology. 90. 210–214. 2 indexed citations
4.
Agrawal, Sachee, Jayanthi Shastri, Anirvan Chatterjee, et al.. (2022). Development of a PNA–DiSc2 based portable absorbance platform for the detection of pathogen nucleic acids. The Analyst. 147(23). 5306–5313. 2 indexed citations
5.
De, Anuradha, et al.. (2022). Unusual Violet Coloured Pigment Produced by Burkholderia cepacia Complex – A Report of Five Cases from a Tertiary Care Hospital in Mumbai. SHILAP Revista de lepidopterología. 8(2). 173–176. 2 indexed citations
6.
Agrawal, Sachee, Subash Chandra Sonkar, Bidhan Chandra Koner, et al.. (2022). SARS-CoV-2 variants: Impact on biological and clinical outcome. Frontiers in Medicine. 9. 995960–995960. 16 indexed citations
7.
Kumar, Saravanan, et al.. (2021). Metabolome and exposome profiling of the biospecimens from COVID-19 patients in India. SHILAP Revista de lepidopterología. 98(4). 397–415. 3 indexed citations
8.
Suvarna, Kruthi, et al.. (2021). A Multi-omics Longitudinal Study Reveals Alteration of the Leukocyte Activation Pathway in COVID-19 Patients. Journal of Proteome Research. 20(10). 4667–4680. 26 indexed citations
9.
Shastri, Jayanthi, Sachee Agrawal, Nirjhar Chatterjee, et al.. (2021). Clinical, Serological, Whole Genome Sequence Analyses to Confirm SARS-CoV-2 Reinfection in Patients From Mumbai, India. Frontiers in Medicine. 8. 631769–631769. 19 indexed citations
11.
Agrawal, Sachee, et al.. (2021). A novel ORF1a-based SARS-CoV-2 RT-PCR assay to resolve inconclusive samples. International Journal of Infectious Diseases. 106. 395–400. 3 indexed citations
12.
Shastri, Jayanthi, Pragya D. Yadav, Sachee Agrawal, et al.. (2021). Community transmission of SARS-CoV-2 with B.1.1.7 lineage in Mumbai, India. Journal of Microbiology Immunology and Infection. 55(6). 1116–1121. 2 indexed citations
13.
Parikh, Pathik, et al.. (2018). Prevalence of non A to E hepatitis in Mumbai, India.. PubMed. 38(1). 49–53. 1 indexed citations
14.
Patil, Prashant P., Samriti Midha, Vikas Gautam, et al.. (2017). Genomics Reveals a Unique Clone of Burkholderia cenocepacia Harboring an Actively Excising Novel Genomic Island. Frontiers in Microbiology. 8. 590–590. 11 indexed citations
15.
Agrawal, Sachee, et al.. (2016). Dengue and Chikungunya Virus Co-infections: The Inside Story.. PubMed. 64(3). 36–40. 30 indexed citations
16.
Gautam, Vikas, Sunil Kumar, Samriti Midha, et al.. (2016). Multilocus sequence analysis reveals high genetic diversity in clinical isolates of Burkholderia cepacia complex from India. Scientific Reports. 6(1). 35769–35769. 12 indexed citations
17.
Srivastava, Nishant, et al.. (2015). Adult Worms of Trichuris trichiura in an Anaemic Adult Patient. 68(1). 44–45.
19.
Munshi, Saif Ullah, et al.. (2011). Metabonomic analysis of hepatitis E patients shows deregulated metabolic cycles and abnormalities in amino acid metabolism. Journal of Viral Hepatitis. 18(10). e591–e602. 26 indexed citations
20.
Lalvani, Ajit, Punam Nagvenkar, Zarir Udwadia, et al.. (2001). Enumeration of T Cells Specific for RD1‐Encoded Antigens Suggests a High Prevalence of LatentMycobacterium tuberculosisInfection in Healthy Urban Indians. The Journal of Infectious Diseases. 183(3). 469–477. 298 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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