R. Udayakumar

84 papers receiving 707 citations

Peers

R. Udayakumar
Comparison fields: 5 of 116
  • Complementary and alternative medicine 164
  • Biochemistry 54
  • Endocrinology, Diabetes and Metabolism 119
  • Pharmacology 50
  • Plant Science 218
Replace Sujuan Wang with:
Sujuan Wang China
Sarfraz Ahmad Nawaz Pakistan
Raj Kumar India
Hyun Woo Kim South Korea
Syed Muhammad Ali Shah Pakistan
Jamal Raiyn Israel
Sabbir Ahmed United Kingdom
Jeong-Oog Lee South Korea
Guanlin Chen China
N. Garg India
R. Udayakumar relative to Sujuan Wang China Sujuan Wang's profile →
Citations per field
00.5×2.8×
Sujuan Wang · 1×
Citations per year

Countries citing papers authored by R. Udayakumar

Since Specialization
Citations

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

Fields of papers citing papers by R. Udayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009145
2 201075
3 201748
4 201338
5 201724
6
Enicostemma littorale Blume — A potential hypolipidemic plant
200424
7 201923
8 201321
9 201721
10 202020
11 202019
12 200919
13 202313
14 201513
15 201313
16 201613
17 202112
18 201911
19 200811
20 201410

About R. Udayakumar

R. Udayakumar is a scholar working on Information Systems, Plant Science, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 110 papers that have together received 794 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (10 papers), Essential Oils and Antimicrobial Activity (10 papers), Phytochemicals and Medicinal Plants (6 papers), Plant tissue culture and regeneration (6 papers), Cloud Data Security Solutions (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Ethnobotanical and Medicinal Plants Studies (5 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Complementary and alternative medicine (164 citations), Biochemistry (54 citations), Endocrinology, Diabetes and Metabolism (119 citations), Pharmacology (50 citations) and Plant Science (218 citations). R. Udayakumar has collaborated with scholars based in India, South Korea and Iraq. Frequent co-authors include Andy Ganapathi, Chang Won Choi, Sei Chang Kim, Sampath Kasthurirengan, Thankaraj Salammal Mariashibu, V. Ramesh Anbazhagan, Vasudevan Ayyappan, A. Gnanamani, S. Sadulla and Markandan Manickavasagam. Their work appears in journals such as Indian Journal of Science and Technology, International Journal of Molecular Sciences, Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, Saudi Journal of Biological Sciences and PROTOPLASMA.

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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