P. Daisy

2.0k citations
32 papers · 1.6k · h-index 21

Impact in

Papers in

P. Daisy

32 papers receiving 1.3k citations

Peers

P. Daisy
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 669
  • Biochemistry 212
  • Complementary and alternative medicine 270
  • Pharmacology 178
  • Drug Discovery 3
Replace Pandurangan Subash‐Babu with:
Pandurangan Subash‐Babu Saudi Arabia
Savarimuthu Ignacimuthu India
Upal Kanti Mazumder India
J. M. A. Hannan Bangladesh
K.V. Pugalendi India
M C Sabu India
M. Rajani India
I Ketut Adnyana Indonesia
Vipin Kumar India
Item Justin Atangwho Nigeria
P. Daisy relative to Pandurangan Subash‐Babu Saudi Arabia Pandurangan Subash‐Babu's profile →
Citations per field
00.5×1.5×2.2×
Pandurangan Subash‐Babu · 1×
Citations per year

Countries citing papers authored by P. Daisy

Since Specialization
Citations

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

Fields of papers citing papers by P. Daisy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside P. Daisy, 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. Daisy Line = papers co-authored together P. Daisy 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 2010202
2 2009168
3 2012157
4 2009117
5 2008105
6 200996
7 201095
8 200992
9 200871
10 200851
11 200951
12 200840
13 201234
14 200930
15 201330
16
Antihyperglycemic and antihyperlipidemic effects of Clitoria ternatea Linn. in alloxan-induced diabetic rats
200927
17 201124
18 201023
19 200722
20 200722

About P. Daisy

P. Daisy is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine, Molecular Biology, Computational Theory and Mathematics and Biochemistry, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (23 papers), Computational Drug Discovery Methods (5 papers), Phytochemicals and Medicinal Plants (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Medicinal Plants and Neuroprotection (3 papers), Diet, Metabolism, and Disease (3 papers), Cancer therapeutics and mechanisms (3 papers) and Sesquiterpenes and Asteraceae Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (669 citations), Biochemistry (212 citations), Complementary and alternative medicine (270 citations), Pharmacology (178 citations) and Drug Discovery (3 citations). P. Daisy has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include J. Eliza, Savarimuthu Ignacimuthu, Veeramuthu Duraipandiyan, Manikkam Rajalakshmi, S. Ignacimuthu, M. Rajalakshmi, K. Balasubramanian, Eagambaram Murugan, Periyasamy Vijayalakshmi and Sanjeev Kumar Singh. Their work appears in journals such as Chemico-Biological Interactions, Medicinal Chemistry Research, Phytomedicine, Research Journal of Medicinal Plant and Journal of Biomolecular Structure and Dynamics.

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