S. Archana

28 papers receiving 583 citations

Peers

S. Archana
Comparison fields: 5 of 82
  • Water Science and Technology 131
  • Molecular Medicine 36
  • Renewable Energy, Sustainability and the Environment 93
  • Polymers and Plastics 74
  • Materials Chemistry 237
Replace Mei Mei Peng with:
Mei Mei Peng South Korea
Álvaro de Jesús Ruíz-Baltazar Mexico
Bini George India
Aysha Bukhari Pakistan
P. A. Prashanth India
Daniel F. Cipriano Brazil
Soufian El Barkany Morocco
Iram Bibi Pakistan
Muhammad Farooq Pakistan
S. Archana relative to Mei Mei Peng South Korea Mei Mei Peng's profile →
Citations per field
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Mei Mei Peng · 1×
Citations per year

Countries citing papers authored by S. Archana

Since Specialization
Citations

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

Fields of papers citing papers by S. Archana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2
Comparative analysis of antimicrobial activity of leaf extracts from fresh green tea, commercial green tea and black tea on pathogens
201159
3 201859
4 201656
5 201848
6 201747
7 202334
8 202430
9 202128
10 202024
11 202123
12 201623
13 202121
14 202018
15 202315
16 201614
17 20168
18 20236
19 20245
20 20185

About S. Archana

S. Archana is a scholar working on Materials Chemistry, Organic Chemistry, Polymers and Plastics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 32 papers that have together received 605 indexed citations. Recurring topics across this work include Conducting polymers and applications (5 papers), Nanomaterials for catalytic reactions (5 papers), Adsorption and biosorption for pollutant removal (5 papers), Advanced Photocatalysis Techniques (5 papers), Supercapacitor Materials and Fabrication (4 papers), Analytical Chemistry and Sensors (4 papers), Electrochemical sensors and biosensors (3 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Water Science and Technology (131 citations), Molecular Medicine (36 citations), Renewable Energy, Sustainability and the Environment (93 citations), Polymers and Plastics (74 citations) and Materials Chemistry (237 citations). S. Archana has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include K. Yogesh Kumar, H. B. Muralidhara, Jayanthi Abraham, B.K. Jayanna, M.S. Raghu, Sharon Olivera, T.N. Vinuth Raj, M.K. Prashanth, H. Shanavaz and B.P. Prasanna. Their work appears in journals such as Environmental Nanotechnology Monitoring & Management, Journal of Science Advanced Materials and Devices, International Journal of Polymeric Materials, Surface Engineering and Applied Surface Science 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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