Shailesh S. Chalikwar

872 citations
53 papers · 612 · h-index 13

Impact in

Papers in

Shailesh S. Chalikwar

42 papers receiving 582 citations

Peers

Shailesh S. Chalikwar
Comparison fields: 5 of 103
  • Pharmaceutical Science 273
  • Analytical Chemistry 59
  • Drug Discovery 1
  • Molecular Medicine 24
  • Biomaterials 65
Replace Ebtessam Ahmed Essa with:
Ebtessam Ahmed Essa Egypt
Achint Jain India
Shin-ichiro Kimura Japan
Vaishali Tejas Thakkar India
Alenka Zvonar Pobirk Slovenia
Alireza Homayouni Iran
Anayatollah Salimi Iran
Marko Krstić Serbia
Gehan Fathy Balata Egypt
Bjad K. Almutairy Saudi Arabia
Shailesh S. Chalikwar relative to Ebtessam Ahmed Essa Egypt Ebtessam Ahmed Essa's profile →
Citations per field
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Ebtessam Ahmed Essa · 1×
Citations per year

Countries citing papers authored by Shailesh S. Chalikwar

Since Specialization
Citations

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

Fields of papers citing papers by Shailesh S. Chalikwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shailesh S. Chalikwar. 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 Shailesh S. Chalikwar. The network helps show where Shailesh S. Chalikwar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012128
2 202381
3 201354
4 201933
5 202130
6 202224
7 202021
8 202020
9 202118
10 202217
11 202117
12 202114
13 201213
14 202413
15 202312
16 202211
17 201110
18 20229
19 20189
20 20238

About Shailesh S. Chalikwar

Shailesh S. Chalikwar is a scholar working on Pharmaceutical Science, Analytical Chemistry, Spectroscopy, Food Science and Fluid Flow and Transfer Processes, having authored 53 papers that have together received 612 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (14 papers), Drug Solubulity and Delivery Systems (11 papers), Analytical Methods in Pharmaceuticals (10 papers), Advancements in Transdermal Drug Delivery (10 papers), Analytical Chemistry and Chromatography (6 papers), Lipid Membrane Structure and Behavior (5 papers), Computational Drug Discovery Methods (4 papers) and Granular flow and fluidized beds (3 papers). The work is most often cited by research in Pharmaceutical Science (273 citations), Analytical Chemistry (59 citations), Drug Discovery (1 citation), Molecular Medicine (24 citations) and Biomaterials (65 citations). Shailesh S. Chalikwar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Sanjay Javerilal Surana, VEENA BELGAMWAR, Pankaj Vijay Dangre, Kailas Kalicharan Moravkar, Devanshi S. Shah, Purnima Dhanraj Amin, Durgesh Kumar Jha, Amarjitsing Rajput, Chandrakantsing Vijaysing Pardeshi and Darshan R. Telange. Their work appears in journals such as Heliyon, Journal of Drug Delivery Science and Technology, AAPS PharmSciTech, Journal of Pharmaceutical Innovation and Polymer-Plastics Technology and Engineering.

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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