Shweta Shukla

455 total citations
27 papers, 293 citations indexed

About

Shweta Shukla is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Shweta Shukla has authored 27 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Agronomy and Crop Science. Recurrent topics in Shweta Shukla's work include Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (5 papers) and Animal Disease Management and Epidemiology (5 papers). Shweta Shukla is often cited by papers focused on Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (5 papers) and Animal Disease Management and Epidemiology (5 papers). Shweta Shukla collaborates with scholars based in India, United States and United Kingdom. Shweta Shukla's co-authors include Amor Khachemoune, Manoj Kumar, Syevda Sirenko, Sushil Tripathi, Edward G. Lakatta, C. Tosh, H. V. Murugkar, S. Nagarajan, Magdalena Juhaszova and Jie Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and Emerging infectious diseases.

In The Last Decade

Shweta Shukla

25 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shweta Shukla India 10 110 76 68 60 38 27 293
T. Kobayashi Japan 11 122 1.1× 64 0.8× 53 0.8× 54 0.9× 20 0.5× 17 302
Yong Ling China 11 102 0.9× 54 0.7× 41 0.6× 64 1.1× 21 0.6× 21 321
Chunli Wu China 10 171 1.6× 111 1.5× 53 0.8× 54 0.9× 26 0.7× 39 335
Kan Xing Wu Singapore 12 67 0.6× 205 2.7× 20 0.3× 170 2.8× 134 3.5× 27 518
Lingshuang Sun China 11 134 1.2× 88 1.2× 66 1.0× 52 0.9× 7 0.2× 21 251
Zhenhong Wei China 13 93 0.8× 86 1.1× 9 0.1× 188 3.1× 37 1.0× 23 449
Li Yin China 10 73 0.7× 51 0.7× 14 0.2× 90 1.5× 12 0.3× 15 260
Jinling Li China 8 188 1.7× 73 1.0× 80 1.2× 52 0.9× 10 0.3× 16 328
Steven T. Laing United States 8 35 0.3× 18 0.2× 16 0.2× 70 1.2× 18 0.5× 19 212
Ana Carolina Soares de Oliveira Brazil 11 68 0.6× 100 1.3× 21 0.3× 72 1.2× 14 0.4× 17 482

Countries citing papers authored by Shweta Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Shweta Shukla. A scholar is included among the top collaborators of Shweta Shukla 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 Shweta Shukla. Shweta Shukla 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.
Seekings, Amanda H., Alexander M. P. Byrne, Shweta Shukla, et al.. (2024). Detection of SARS-CoV-2 Delta Variant (B.1.617.2) in Domestic Dogs and Zoo Tigers in England and Jersey during 2021. Viruses. 16(4). 617–617.
2.
Seekings, Amanda H., Alexander M. P. Byrne, Shweta Shukla, et al.. (2024). SARS-CoV-2 infection and transmission via the skin to oro-nasal route with the production of bioaerosols in the ferret model. Journal of General Virology. 105(9). 1 indexed citations
3.
Venkatesh, Govindarajulu, S. Nagarajan, Sandeep Bhatia, et al.. (2022). Immunogenicity and cross-protective efficacy of recombinant H5HA1 protein of clade 2.3.2.1a highly pathogenic H5N1 avian influenza virus expressed in E.coli. Microbial Pathogenesis. 168. 105605–105605. 2 indexed citations
4.
Folly, Arran J., Denise A. Marston, Shweta Shukla, et al.. (2021). Incursion of European Bat Lyssavirus 1 (EBLV-1) in Serotine Bats in the United Kingdom. Viruses. 13(10). 1979–1979. 3 indexed citations
5.
Shukla, Shweta, et al.. (2021). Assessment of effect of Murchana in Ark Taila on the basis of physiochemical parameters. SHILAP Revista de lepidopterología. 15(3). 189–189. 1 indexed citations
6.
Singh, Onkar, et al.. (2021). AN OBSERVATIONAL STUDY ON NIDANATMAKA ASPECT OF AMLAPITTA. Journal of Biological and Scientific Opinion. 9(1). 6–9. 1 indexed citations
7.
Shukla, Shweta & Amor Khachemoune. (2020). Reappraising basosquamous carcinoma: a summary of histologic features, diagnosis, and treatment. Archives of Dermatological Research. 312(9). 605–609. 20 indexed citations
8.
DeVience, Stephen J., et al.. (2020). Survey of musculoskeletal disorders among US ophthalmologists. PubMed. 26(4). 36–41. 24 indexed citations
9.
Singh, Shalini, et al.. (2019). Anatomico physiological aspects of siravedha W.S.R to neuromuscular disorders. Environment Conservation Journal. 20(Special Edition). 47–51. 1 indexed citations
10.
Kumar, Manoj, S. Nagarajan, H. V. Murugkar, et al.. (2018). Emergence of novel reassortant H6N2 avian influenza viruses in ducks in India. Infection Genetics and Evolution. 61. 20–23. 8 indexed citations
12.
Nagarajan, S., Manoj Kumar, H. V. Murugkar, et al.. (2017). Novel Reassortant Highly Pathogenic Avian Influenza (H5N8) Virus in Zoos, India. Emerging infectious diseases. 23(4). 717–719. 44 indexed citations
13.
Shukla, Shweta, Shaoli Das, Suman Ghosal, et al.. (2017). Correlation of altered expression of a long non-coding RNA, NEAT1, in peripheral blood mononuclear cells with dengue disease progression. Journal of Infection. 75(6). 541–554. 27 indexed citations
14.
Banerjee, Arup, Shweta Shukla, Bhaswati Bandyopadhyay, et al.. (2017). RNA-Seq analysis of peripheral blood mononuclear cells reveals unique transcriptional signatures associated with disease progression in dengue patients. Translational research. 186. 62–78.e9. 30 indexed citations
15.
Patel, Nupur, et al.. (2017). Oxymetazoline hydrochloride cream for facial erythema associated with rosacea. Expert Review of Clinical Pharmacology. 10(10). 1049–1054. 19 indexed citations
16.
Shukla, Shweta, et al.. (2016). Application of decision tree for understanding Indian educational scenario. 4367–4372. 1 indexed citations
17.
Tosh, C., S. Nagarajan, Manoj Kumar, et al.. (2016). Multiple introductions of a reassortant H5N1 avian influenza virus of clade 2.3.2.1c with PB2 gene of H9N2 subtype into Indian poultry. Infection Genetics and Evolution. 43. 173–178. 28 indexed citations
18.
Sirenko, Syevda, Shweta Shukla, Jie Liu, & Edward G. Lakatta. (2011). Age Associated Decrease in Intrinsic Action Potential (AP) Firing Rate in Sinoatrial Node Cells is Linked to Deficient Intrinsic cAMP-PKA-Ca2+ Signaling. Biophysical Journal. 100(3). 434a–434a. 3 indexed citations
19.
Liu, Jie, Syevda Sirenko, Magdalena Juhaszova, et al.. (2011). A full range of mouse sinoatrial node AP firing rates requires protein kinase A-dependent calcium signaling. Journal of Molecular and Cellular Cardiology. 51(5). 730–739. 22 indexed citations
20.
Shukla, Shweta, et al.. (2010). Effect of caffeine on radiation induced micronuclei in human lymphocytes. 33(4). 195. 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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