S. Maya

1.6k citations
26 papers · 1.2k · h-index 19

Impact in

    • Nanoparticle-Based Drug Delivery
    • Nanocomposite Films for Food Packaging
    • Advanced Drug Delivery Systems
    • Advancements in Transdermal Drug Delivery

Papers in

    • Nanoparticle-Based Drug Delivery 12
    • Biopolymer Synthesis and Applications 3
    • RNA Interference and Gene Delivery 3

S. Maya

25 papers receiving 1.2k citations

Peers

S. Maya
Comparison fields: 5 of 106
  • Biomaterials 642
  • Pharmaceutical Science 298
  • Molecular Medicine 206
  • Biomedical Engineering 335
  • Microbiology 47
Replace Swati Gupta with:
Swati Gupta India
Rohidas Arote South Korea
N. Vishal Gupta India
İmran Vural Türkiye
Laura Thoma United States
Annabelle Gèze France
Ashwni Verma India
Tamer Güneri Türkiye
Vamshi Krishna Rapalli India
Sourav Thakur India
S. Maya relative to Swati Gupta India Swati Gupta's profile →
Citations per field
00.5×4.3×
Swati Gupta · 1×
Citations per year

Countries citing papers authored by S. Maya

Since Specialization
Citations

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

Fields of papers citing papers by S. Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013131
2 2012129
3 2015126
4 2012119
5 201183
6 201382
7 201065
8 201550
9 201846
10 201439
11 201539
12 201439
13 200935
14 201434
15 202031
16 201430
17 201727
18 201427
19 201723
20 202015

About S. Maya

S. Maya is a scholar working on Biomaterials, Molecular Biology, Biomedical Engineering, Pharmaceutical Science and Molecular Medicine, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (12 papers), Nanoplatforms for cancer theranostics (8 papers), Advanced Drug Delivery Systems (6 papers), Biopolymer Synthesis and Applications (3 papers), Graphene and Nanomaterials Applications (3 papers), Hydrogels: synthesis, properties, applications (3 papers), RNA Interference and Gene Delivery (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Biomaterials (642 citations), Pharmaceutical Science (298 citations), Molecular Medicine (206 citations), Biomedical Engineering (335 citations) and Microbiology (47 citations). S. Maya has collaborated with scholars based in India, Portugal and Switzerland. Frequent co-authors include R. Jayakumar, Shantikumar V. Nair, N. Sanoj Rejinold, Bruno Sarmento, Amal J. Sivaram, Deepthy Menon, A. Anitha, Rajitha Panonnummal, M. Sabitha and S. M. Sunoj. Their work appears in journals such as International Journal of Biological Macromolecules, Carbohydrate Polymers, Colloids and Surfaces B Biointerfaces, Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology and RSC Advances.

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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