Arun T. Patil

783 citations
24 papers · 631 indexed · h-index 13

Arun T. Patil

24 papers receiving 590 citations

Peers

Arun T. Patil
Comparison fields: 5 of 87
  • Pharmaceutical Science 152
  • Biochemistry 87
  • Pharmacology 85
  • Molecular Medicine 40
  • Complementary and alternative medicine 56
Replace Suresh G. Killedar with:
Suresh G. Killedar India
Mangesh A. Bhutkar India
Shahid Husain Ansari India
Pravin Wakte India
Xiaoai Zhu China
Vijayan Venugopal India
D. M. Sakarkar India
Shahid Jamil Saudi Arabia
Muhammad Naeem Qaisar Pakistan
Ehab M. Elzayat Saudi Arabia
Arun T. Patil relative to Suresh G. Killedar India Suresh G. Killedar's profile →
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Citations per year

Countries citing papers authored by Arun T. Patil

Since Specialization
Citations

This map shows the geographic impact of Arun T. Patil'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 Arun T. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun T. Patil more than expected).

Fields of papers citing papers by Arun T. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun T. Patil. 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 Arun T. Patil. The network helps show where Arun T. Patil may publish in the future.

Co-authorship network

The 18 scholars most cited alongside Arun T. Patil, 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 Arun T. Patil Line = papers co-authored together Arun T. Patil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Glucosamine HCl-based solid dispersions to enhance the biopharmaceutical properties of acyclovir
20199
2 201947
3 201922
4 20177
5
Kaempferol-Phospholipid Complex: Formulation, and Evaluation of Improved Solubility, In Vivo Bioavailability, and Antioxidant Potential of Kaempferol
201632
6 2016219
7 20161
8 20153
9
DEVELOPMENT OF THERMOSENSITIVE GEL OF FLUCONAZOLE FOR VAGINAL CANDIDIASIS
20159
10 201418
11
EVALUATION OF HOT MELT COATING AS TASTE MASKI NG TOOL
201113
12 201180
13 200910
14
Antimicrobial Activity of Butea Monosperma Lam. Gum
200815
15 200813
16 200811
17 200811
18 200723
19 200714
20
Antimicrobial Activity Of Cassia Alata
199814

About Arun T. Patil

Arun T. Patil is a scholar working on Pharmaceutical Science, Pharmacology and Analytical Chemistry, having authored 24 papers that have together received 631 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (8 papers), Drug Solubulity and Delivery Systems (7 papers), Advancements in Transdermal Drug Delivery (4 papers), Plant-based Medicinal Research (4 papers), Analytical Chemistry and Chromatography (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Ethnobotanical and Medicinal Plants Studies (2 papers). The work is most often cited by research in Pharmaceutical Science (152 citations), Biochemistry (87 citations) and Pharmacology (85 citations). Arun T. Patil has collaborated with scholars based in India and United States. Frequent co-authors include Darshan R. Telange, Anil M. Pethe, Vivek S. Dave, Sridhar Anand, S. B. Joshi, Prakash R. Itankar, Prashant Verma, Milind Umekar, Sumit Arora and Shailendra Gurav. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and European Journal of Pharmaceutical Sciences.

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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