J. Jayapriya

16 papers receiving 456 citations

Peers

J. Jayapriya
Comparison fields: 5 of 91
  • Statistics, Probability and Uncertainty 102
  • Environmental Engineering 139
  • Electrochemistry 40
  • Radiological and Ultrasound Technology 28
  • Biotechnology 35
Replace Dorota Siuta with:
Dorota Siuta Poland
Haitao Fan China
Mohamed Nour El-Din Egypt
Vincenzo Luongo Italy
G. Swaminathan India
Terng‐Jou Wan Taiwan
Chung Hong Tan Malaysia
Melih Soner Çeliktaş Türkiye
Jitian Song China
G. Deerberg Germany
J. Jayapriya relative to Dorota Siuta Poland Dorota Siuta's profile →
Citations per field
00.5×10×20×30×40×
Dorota Siuta · 1×
Citations per year

Countries citing papers authored by J. Jayapriya

Since Specialization
Citations

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

Fields of papers citing papers by J. Jayapriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside J. Jayapriya, 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 J. Jayapriya Line = papers co-authored together J. Jayapriya links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2019166
2 201853
3 201250
4 201543
5 201829
6 202018
7 201118
8
Extraction and characterization of proteolytic enzymes from fish visceral waste: Potential applications as destainer and dehairing agent
201416
9 201615
10 201214
11 201312
12 201610
13 20228
14 20226
15 20154
16 20153

About J. Jayapriya

J. Jayapriya is a scholar working on Environmental Engineering, Electrical and Electronic Engineering, Biotechnology, Mechanical Engineering and Electrochemistry, having authored 16 papers that have together received 465 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (5 papers), Microbial Fuel Cells and Bioremediation (5 papers), Electrochemical Analysis and Applications (4 papers), Lubricants and Their Additives (3 papers), Enzyme Production and Characterization (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Biodiesel Production and Applications (2 papers) and Collagen: Extraction and Characterization (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (102 citations), Environmental Engineering (139 citations), Electrochemistry (40 citations), Radiological and Ultrasound Technology (28 citations) and Biotechnology (35 citations). J. Jayapriya has collaborated with scholars based in India. Frequent co-authors include V. Ramamurthy, Manoj Ravi, Hema Jagadeesan, R. Saranya, R. Aravindhan, A. Tamilselvi, Baldev Raj, U. Kamachi Mudali, Judy Gopal and Sahaya Beni Prathiba. Their work appears in journals such as Journal of Natural Gas Science and Engineering, International Journal of Biological Macromolecules, International Journal Of Recycling of Organic Waste in Agriculture, Process Safety and Environmental Protection and Chemical Engineering Communications.

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.

Explore authors with similar magnitude of impact