P. N. Deepa

19 papers receiving 410 citations

Peers

P. N. Deepa
Comparison fields: 5 of 53
  • Electrochemistry 165
  • Bioengineering 130
  • Polymers and Plastics 78
  • Electrical and Electronic Engineering 279
  • Materials Chemistry 128
Replace Joanna Borowiec with:
Joanna Borowiec China
Shahriar Jahanbani Iran
R.O. Yathisha India
Subash Vetri Selvi Taiwan
Eva Alvárez de Eulate Australia
M.M. Vinay India
Minggang Zhao China
Povilas Genys Lithuania
Yintao Shi China
Rochdi Kherrat Algeria
P. N. Deepa relative to Joanna Borowiec China Joanna Borowiec's profile →
Citations per field
00.5×1.5×
Joanna Borowiec · 1×
Citations per year

Countries citing papers authored by P. N. Deepa

Since Specialization
Citations

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

Fields of papers citing papers by P. N. Deepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. N. Deepa. 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 P. N. Deepa. The network helps show where P. N. Deepa may publish in the future.

Co-authors

The 14 scholars most cited alongside P. N. Deepa, 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 P. N. Deepa Line = papers co-authored together P. N. Deepa links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2003134
2 200359
3 201948
4 201726
5 200426
6 201920
7 201916
8 202215
9 201815
10 201911
11 202011
12 201910
13 20109
14 20254
15 20234
16 20164
17
Method Development and Validation for the Determination of Purine Alkaloid Caffeine from Camellia sinensis by RP-HPLC Method
20193
18 20223
19 20241

About P. N. Deepa

P. N. Deepa is a scholar working on Electrical and Electronic Engineering, Electrochemistry, Polymers and Plastics, Materials Chemistry and Bioengineering, having authored 19 papers that have together received 419 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (10 papers), Electrochemical sensors and biosensors (10 papers), Conducting polymers and applications (6 papers), Analytical Chemistry and Sensors (5 papers), Mesoporous Materials and Catalysis (3 papers), Glass properties and applications (2 papers), Luminescence Properties of Advanced Materials (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Electrochemistry (165 citations), Bioengineering (130 citations), Polymers and Plastics (78 citations), Electrical and Electronic Engineering (279 citations) and Materials Chemistry (128 citations). P. N. Deepa has collaborated with scholars based in India and United States. Frequent co-authors include Maryanne M. Collinson, Mandakini Kanungo, S. Sriman Narayanan, R. Manikandan, Peter M. A. Sherwood, Nathan W. Moore, Meena Laad, Sangita Sangita, P. Philominathan and A. V. Anilkumar. Their work appears in journals such as Ionics, Journal of Solid State Electrochemistry, Journal of Materials Science Materials in Electronics, Materials Chemistry and Physics and Surfaces and Interfaces.

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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