Uttom Nandi

551 citations
21 papers · 396 · h-index 12

Impact in

    • Drug Solubulity and Delivery Systems
    • Advanced Drug Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Additive Manufacturing and 3D Printing Technologies

Papers in

Uttom Nandi

21 papers receiving 390 citations

Peers

Uttom Nandi
Comparison fields: 5 of 85
  • Pharmaceutical Science 123
  • Automotive Engineering 89
  • Biomaterials 77
  • Biomedical Engineering 171
  • Molecular Medicine 11
Replace Taís Gratieri with:
Taís Gratieri Brazil
Ana Santoveña-Estévez Spain
Bhupendra Raj Giri United States
Prashant Pingale India
Helga K. Ruiz Spain
Xingyou Ye United States
Ho-Wah Hui United States
Moutaz Y. Badr Saudi Arabia
Vimal Patel India
Abdul Muheem India
Uttom Nandi relative to Taís Gratieri Brazil Taís Gratieri's profile →
Citations per field
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Taís Gratieri · 1×
Citations per year

Countries citing papers authored by Uttom Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Uttom Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 202148
3 202131
4 202131
5 202130
6 201528
7 202125
8 202224
9 202120
10 201812
11 202112
12 202111
13 202110
14 20239
15 20167
16 20207
17 20206
18 20225
19 20205
20 20224

About Uttom Nandi

Uttom Nandi is a scholar working on Pharmaceutical Science, Biomaterials, Molecular Biology, Biomedical Engineering and Automotive Engineering, having authored 21 papers that have together received 396 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), RNA Interference and Gene Delivery (5 papers), Clay minerals and soil interactions (3 papers), Analytical Chemistry and Chromatography (3 papers), Nanoparticle-Based Drug Delivery (3 papers), 3D Printing in Biomedical Research (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Pharmaceutical Science (123 citations), Automotive Engineering (89 citations), Biomaterials (77 citations), Biomedical Engineering (171 citations) and Molecular Medicine (11 citations). Uttom Nandi has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Dennis Douroumis, Vivek Trivedi, Atabak Ghanizadeh Tabriz, Yuchuan Gong, Sumit Kumar, Ho-Wah Hui, Giulia Getti, Andrew P. Hurt, Shyam Karki and Mohammed Maniruzzaman. Their work appears in journals such as International Journal of Pharmaceutics, AAPS PharmSciTech, Journal of Drug Delivery Science and Technology, Journal of Pharmacy and Pharmacology and Pharmaceuticals.

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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