Pradeep R. Vavia

6.6k total citations
147 papers, 5.4k citations indexed

About

Pradeep R. Vavia is a scholar working on Pharmaceutical Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Pradeep R. Vavia has authored 147 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Pharmaceutical Science, 31 papers in Molecular Biology and 31 papers in Biomaterials. Recurrent topics in Pradeep R. Vavia's work include Drug Solubulity and Delivery Systems (61 papers), Advanced Drug Delivery Systems (56 papers) and Advancements in Transdermal Drug Delivery (30 papers). Pradeep R. Vavia is often cited by papers focused on Drug Solubulity and Delivery Systems (61 papers), Advanced Drug Delivery Systems (56 papers) and Advancements in Transdermal Drug Delivery (30 papers). Pradeep R. Vavia collaborates with scholars based in India, Italy and United Kingdom. Pradeep R. Vavia's co-authors include Roberta Cavalli, Francesco Trotta, Ashok R. Patel, Shankar Swaminathan, Khalid Ansari, Rohan Pai, Mahesh D. Chavanpatil, Lalitkumar K. Vora, Sapna Makhija and Paras Jain and has published in prestigious journals such as Journal of Controlled Release, International Journal of Pharmaceutics and Pharmaceutical Research.

In The Last Decade

Pradeep R. Vavia

147 papers receiving 5.0k citations

Peers

Pradeep R. Vavia
Comparison fields: 5 of 128
  • Pharmaceutical Science 3.4k
  • Biomaterials 1.3k
  • Molecular Biology 1.1k
  • Biomedical Engineering 587
  • Materials Chemistry 514
Replace Ramesh Panchagnula with:
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Francesca Maestrelli Italy
Kanchan Kohli India
Sarwar Beg India
Hadi Valizadeh Iran
Ramesh Panchagnula India View profile →
Citations per field, relative to Pradeep R. Vavia
Pradeep R. Vavia · 1×
Citations per year, relative to Pradeep R. Vavia
Pradeep R. Vavia · 1×

Countries citing papers authored by Pradeep R. Vavia

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep R. Vavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep R. Vavia. 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 Pradeep R. Vavia. The network helps show where Pradeep R. Vavia may publish in the future.

Co-authorship network of co-authors of Pradeep R. Vavia

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep R. Vavia. A scholar is included among the top collaborators of Pradeep R. Vavia 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 Pradeep R. Vavia. Pradeep R. Vavia 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
# Work Indexed citations
1 15
2 10
3 40
4 4
5 12
6 12
7 14
8 19
9 3
10 42
11 21
12
SMEDDS incorporated polymer matrix: a floating dosage form solution for drugs with poor gastric solubility
5
13 122
14 2
15
Antiproliferative Effect Of Aspirin And Its Inclusion Complex On Human MCF-7 And K-562 Cancer Cells In Vitro
1
16 16
17 7
18 46
19 11
20
Inclusion Complexation Of Ketoprofen With b-Cyclodextrins
2

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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