Deepak Kaushik

5.0k citations
157 papers · 3.3k indexed · h-index 35

Deepak Kaushik

147 papers receiving 3.2k citations

Peers

Deepak Kaushik
Comparison fields: 5 of 169
  • Pharmaceutical Science 396
  • Neurology 530
  • Biological Psychiatry 133
  • Molecular Medicine 139
  • Developmental Neuroscience 93
Replace Kiran Kalia with:
Kiran Kalia India
Thakur Gurjeet Singh India
Sukhbir Singh India
Sami I. Alzarea Saudi Arabia
Saurabh Bhatia India
Jiahong Lu China
Saurabh Kumar Jha India
Ying Huang United States
Qi Qi China
Mahbubur Rahman United States
Deepak Kaushik relative to Kiran Kalia India Kiran Kalia's profile →
Citations per field
00.5×6.2×
Kiran Kalia · 1×
Citations per year

Countries citing papers authored by Deepak Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202427
3 20240
4 20241
5 20231
6 202310
7 202310
8 20239
9 202211
10 20227
11 202213
12 202223
13 202217
14 202236
15 20218
16 20216
17 2021118
18 202149
19
Surgical management of atresia ani complicated with rectovaginal fistula in a sahiwal calf
20201
20 20200

About Deepak Kaushik

Deepak Kaushik is a scholar working on Pharmaceutical Science, Neurology and Biomaterials, having authored 157 papers that have together received 3.3k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (30 papers), Advanced Drug Delivery Systems (21 papers), Nanoparticle-Based Drug Delivery (16 papers), Advancements in Transdermal Drug Delivery (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Crystallization and Solubility Studies (9 papers), Natural Fiber Reinforced Composites (8 papers) and Essential Oils and Antimicrobial Activity (8 papers). The work is most often cited by research in Pharmaceutical Science (396 citations), Neurology (530 citations) and Biological Psychiatry (133 citations). Deepak Kaushik has collaborated with scholars based in India, Bangladesh and Saudi Arabia. Frequent co-authors include Anirban Basu, Ravinder Verma, Malvika Gupta, V. Wee Yong, Vineet Mittal, Menaka C. Thounaojam, Harish Dureja, Kanhaiya Lal Kumawat, Md. Habibur Rahman and Rokeya Akter. Their work appears in journals such as Recent Patents on Nanotechnology, Environmental Science and Pollution Research, Recent Patents on Drug Delivery & Formulation, Journal of Neuroinflammation and Polymer Composites.

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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