Payal Agarwal

963 citations
27 papers · 598 indexed · 1 hit paper · h-index 11
Topics
Virus-based gene therapy research (9 papers)Veterinary Oncology Research (7 papers)Cancer Research and Treatments (4 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Payal Agarwal

23 papers receiving 583 citations

Hit Papers

miRNAs: Potential as Biomarkers and Therapeutic Targets f...20232026202420252023255075100

Peers

Payal Agarwal
Comparison fields: 5 of 81
  • Molecular Biology 314
  • Plant Science 190
  • Cancer Research 107
  • Pulmonary and Respiratory Medicine 78
  • Oncology 73
Replace Patrícia Mesquita with:
Patrícia Mesquita Portugal
Shijie Ma China
Xiumei Yang China
Takafumi Kimoto Japan
Kee Hun South Korea
Magdalena Śmiech Poland
Jen-Wei Chiao United States
Xin Lian China
Yao Sun China
Payal Agarwal relative to Patrícia Mesquita Portugal Patrícia Mesquita's profile →
Citations per field
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Patrícia Mesquita · 1×
Citations per year

Countries citing papers authored by Payal Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Payal Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Agarwal. A scholar is included among the top collaborators of Payal Agarwal 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 Payal Agarwal. Payal Agarwal 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
#WorkIndexed citations
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miRNAs: Potential as Biomarkers and Therapeutic Targets for Cancerbreakdown →
115
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8 14
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Co-expression and in-silico interaction studies for inter-linking the activation of MAPK3 and LOX genes during pathogenesis of Alternaria brassicae in Brassica juncea
5
15 53
16 35
17 13
18 206
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ANTIMICROBIAL ACTIVITY OF PLANTS TRADITIONALLY USED AS MEDICINES AGAINST SOME PATHOGENS
4
20 19

About Payal Agarwal

Payal Agarwal is a scholar working on Biotechnology, Oncology and Genetics, having authored 27 papers that have together received 598 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Veterinary Oncology Research (7 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Pharmaceutical Science (54 citations), Cancer Research (107 citations) and Plant Science (190 citations). Payal Agarwal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Murray Grant, Gohar Taj, Anil Kumar, B. F. Smith, Daniel J. Patton, Patricia DeInnocentes, R. Curtis Bird, Jun Shao, Maninder Sandey and Woon‐Kai Low. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific Reports.

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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