Naisarg Pujara

676 citations
11 papers · 553 indexed · h-index 8
Topics
Advanced Drug Delivery Systems (4 papers)Peptidase Inhibition and Analysis (2 papers)Drug Solubulity and Delivery Systems (2 papers)

In The Last Decade

Naisarg Pujara

10 papers receiving 548 citations

Peers

Naisarg Pujara
Comparison fields: 5 of 88
  • Molecular Biology 164
  • Biomaterials 159
  • Biomedical Engineering 112
  • Pharmaceutical Science 109
  • Food Science 108
Replace Kuan Yau Wong with:
Kuan Yau Wong Australia
Laura Ferreira Portugal
Roberta Balansin Rigon Brazil
Luciana Facco Dalmolin Brazil
Chandrasekar Ponnusamy India
M. Moshahid Alam Rizvi India
Jasjeet Kaur Narang India
Menka Khoobchandani United States
Elaheh Mirhadi Iran
Sadaf Saleem Pakistan
Naisarg Pujara relative to Kuan Yau Wong Australia Kuan Yau Wong's profile →
Citations per field
00.5×1.5×2.1×
Kuan Yau Wong · 1×
Citations per year

Countries citing papers authored by Naisarg Pujara

Since Specialization
Citations

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

Fields of papers citing papers by Naisarg Pujara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naisarg Pujara

This figure shows the co-authorship network connecting the top 25 collaborators of Naisarg Pujara. A scholar is included among the top collaborators of Naisarg Pujara 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 Naisarg Pujara. Naisarg Pujara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 38
2 53
3 75
4 52
5 20
6 49
7 143
8 115
9
Formulation and Evaluation of Bilayer Tablet
1
10
Formulation and Evaluation of Fast Dissolving Oral Film
0
11
Self Emulsifying Drug Delivery System
7

About Naisarg Pujara

Naisarg Pujara is a scholar working on Pharmaceutical Science, Geriatrics and Gerontology and Analytical Chemistry, having authored 11 papers that have together received 553 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (4 papers), Peptidase Inhibition and Analysis (2 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Pharmaceutical Science (109 citations), Geriatrics and Gerontology (56 citations) and Biomaterials (159 citations). Naisarg Pujara has collaborated with scholars based in Australia, India and United Kingdom. Frequent co-authors include Amirali Popat, Michael A. McGuckin, Siddharth Jambhrunkar, Kuan Yau Wong, Tushar Kumeria, Zhi Qu, Yonghua Sheng, Benjamin P. Ross, Muhammad Mustafa Abeer and Anand Kumar Meka. Their work appears in journals such as Journal of Colloid and Interface Science, Colloids and Surfaces B Biointerfaces and Molecular Pharmaceutics.

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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