Daisy Arora

508 citations
21 papers · 366 · h-index 10

Impact in

Papers in

    • Advancements in Transdermal Drug Delivery 5
    • Advanced Drug Delivery Systems 2
    • Immunotherapy and Immune Responses 2
    • Psoriasis: Treatment and Pathogenesis 2

Daisy Arora

19 papers receiving 343 citations

Peers

Daisy Arora
Comparison fields: 5 of 84
  • Pharmaceutical Science 165
  • Dermatology 62
  • Drug Discovery 1
  • Geriatrics and Gerontology 13
  • Biomaterials 34
Replace Vikas Pandey with:
Vikas Pandey India
Rasha T.A. Abdel-Aziz Egypt
Harmanpreet Singh India
Asmaa Badawy Darwish Egypt
Denize Ainbinder Israel
Wedad Sakran Egypt
Sara H. Yousef Egypt
Eman A. Mazyed Egypt
Krishna Chaitanya Telaprolu Australia
Chahinez Houacine United Kingdom
Daisy Arora relative to Vikas Pandey India Vikas Pandey's profile →
Citations per field
00.5×2.7×
Vikas Pandey · 1×
Citations per year

Countries citing papers authored by Daisy Arora

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daisy Arora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisy Arora Line = papers co-authored together Daisy Arora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2 202053
3 200638
4 201028
5 201827
6 202024
7 202021
8 202013
9 201912
10 202311
11 20209
12 20208
13 20237
14 20187
15 20246
16 20206
17 20236
18 20106
19 20202
20 20231

About Daisy Arora

Daisy Arora is a scholar working on Pharmaceutical Science, Immunology, Insect Science, Molecular Biology and Computational Theory and Mathematics, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (5 papers), Bee Products Chemical Analysis (4 papers), RNA Interference and Gene Delivery (3 papers), Computational Drug Discovery Methods (3 papers), Immunotherapy and Immune Responses (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Advanced Drug Delivery Systems (2 papers) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Pharmaceutical Science (165 citations), Dermatology (62 citations), Drug Discovery (1 citation), Geriatrics and Gerontology (13 citations) and Biomaterials (34 citations). Daisy Arora has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Sanju Nanda, Raj Kumar Narang, N. B. Mathur, Amit K. Goyal, Suresh P. Vyas, Abhishek Budhiraja, Goutam Rath, Neeraj Mishra, Ghanshyam Das Gupta and Sumel Ashique. Their work appears in journals such as Current Pharmaceutical Design, Current Molecular Pharmacology, Pharmaceutical Development and Technology, Current Gene Therapy and Journal of Drug Delivery Science and Technology.

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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