Kaushik Thanki

3.3k citations
56 papers · 2.6k indexed · h-index 30

Kaushik Thanki

56 papers receiving 2.6k citations

Peers

Kaushik Thanki
Comparison fields: 5 of 120
  • Pharmaceutical Science 1.0k
  • Biomaterials 784
  • Molecular Medicine 161
  • Pharmacology 119
  • Molecular Biology 936
Replace Varun Kushwah with:
Varun Kushwah India
Cinzia Anna Ventura Italy
Soo‐Jeong Lim South Korea
Simin Dadashzadeh Iran
Thao T.D. Tran Vietnam
Young Wook Choi South Korea
Jaber Emami Iran
Parvin Zakeri‐Milani Iran
Rania M. Hathout Egypt
Padma V. Devarajan India
Kaushik Thanki relative to Varun Kushwah India Varun Kushwah's profile →
Citations per field
00.5×5.1×
Varun Kushwah · 1×
Citations per year

Countries citing papers authored by Kaushik Thanki

Since Specialization
Citations

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

Fields of papers citing papers by Kaushik Thanki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kaushik Thanki, 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 Kaushik Thanki Line = papers co-authored together Kaushik Thanki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202129
2 202114
3 202023
4 201956
5 201916
6 201827
7 201830
8 201734
9 201744
10 201421
11 201440
12
Characterization of Psyllium (Plantago ovata) Polysaccharide and its use as a Binder in Tablets
20138
13 2013397
14 201369
15 2013102
16 201327
17 2012155
18
Design, Evaluation and Comparative Study of Pulsatile Release from Tablet and Capsule Dosage Forms
20093
19 200924
20 200923

About Kaushik Thanki

Kaushik Thanki is a scholar working on Pharmaceutical Science, Biomaterials and Toxicology, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (16 papers), Nanoparticle-Based Drug Delivery (15 papers), RNA Interference and Gene Delivery (13 papers), Advanced Drug Delivery Systems (11 papers), Analytical Methods in Pharmaceuticals (5 papers), Inhalation and Respiratory Drug Delivery (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Coenzyme Q10 studies and effects (4 papers). The work is most often cited by research in Pharmaceutical Science (1.0k citations), Biomaterials (784 citations) and Molecular Medicine (161 citations). Kaushik Thanki has collaborated with scholars based in India, Denmark and Portugal. Frequent co-authors include Sanyog Jain, Amit Jain, Nitin K. Swarnakar, Rahul P. Gangwal, Abhay T. Sangamwar, Ashish Kumar Agrawal, Camilla Foged, Dinesh Kumar, Varun Kushwah and Harshad Harde. Their work appears in journals such as Biomaterials, Free Radical Biology and Medicine and Journal of Controlled Release.

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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