Devasier Bennet

811 citations
22 papers · 510 · h-index 15

Impact in

Papers in

Devasier Bennet

22 papers receiving 493 citations

Peers

Devasier Bennet
Comparison fields: 5 of 99
  • Pharmaceutical Science 63
  • Biomaterials 85
  • Dermatology 39
  • Biomedical Engineering 184
  • Cellular and Molecular Neuroscience 67
Replace Sanghyo Kim with:
Sanghyo Kim South Korea
Kwanchanok Viravaidya‐Pasuwat Thailand
Zhipeng Yang China
Kwon-Jai Lee South Korea
Shallu Kutlehria United States
Arif Nadaf India
Tanya Chhibber United States
María Natalia Calienni Argentina
Jiahorng Liaw Taiwan
Katarzyna Wasilewska Poland
Devasier Bennet relative to Sanghyo Kim South Korea Sanghyo Kim's profile →
Citations per field
00.5×5.3×
Sanghyo Kim · 1×
Citations per year

Countries citing papers authored by Devasier Bennet

Since Specialization
Citations

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

Fields of papers citing papers by Devasier Bennet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201860
3
Comparison of the effects of hormones on DNA synthesis in cell cultures of nonneoplastic and neoplastic mammary epithelium from rats.
197746
4 201838
5 201435
6 201229
7 202128
8 201226
9 202123
10 201719
11 201119
12 201717
13 201317
14 201316
15 201315
16 202113
17 201512
18 201511
19 20148
20 20215

About Devasier Bennet

Devasier Bennet is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Dermatology and Pharmaceutical Science, having authored 22 papers that have together received 510 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Skin Protection and Aging (4 papers), 3D Printing in Biomedical Research (4 papers), Bee Products Chemical Analysis (3 papers), Advancements in Transdermal Drug Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Pharmaceutical Science (63 citations), Biomaterials (85 citations), Dermatology (39 citations), Biomedical Engineering (184 citations) and Cellular and Molecular Neuroscience (67 citations). Devasier Bennet has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Sanghyo Kim, Ted W. Reid, Jungkyu Kim, Sanghyo Kim, Rajarajan A. Thandavarayan, Rramaswamy Ravikumar, Sabarinathan Rangasamy, Vengadeshprabhu Karuppagounder, Rajendran JC Bose and Ramasamy Sakthivel. Their work appears in journals such as International Journal of Nanomedicine, Lab on a Chip, RSC Advances, Analytical Chemistry and Polymer Journal.

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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