P. Daisy

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

P. Daisy

32 papers receiving 1.3k citations

Peers

P. Daisy
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 752
  • Biochemistry 231
  • Complementary and alternative medicine 294
  • Pharmacology 198
  • Drug Discovery 3
Replace Pandurangan Subash‐Babu with:
Pandurangan Subash‐Babu Saudi Arabia
Savarimuthu Ignacimuthu India
Upal Kanti Mazumder India
Rajiv Gandhi Gopalsamy Brazil
J. M. A. Hannan Bangladesh
Fadia S. Youssef Egypt
M C Sabu India
I Ketut Adnyana Indonesia
M. Rajani 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-authorship network

The 17 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
#Work
1 20145
2 20133
3 201330
4 201233
5 2012155
6 201122
7 2010200
8 201023
9 20105
10 201096
11 2009116
12 200930
13
Antihyperglycemic and antihyperlipidemic effects of Clitoria ternatea Linn. in alloxan-induced diabetic rats
200927
14 200994
15 200991
16 2009168
17 2008107
18 200870
19 20078
20 200722

About P. Daisy

P. Daisy is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Biochemistry, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (24 papers), Phytochemicals and Medicinal Plants (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Computational Drug Discovery Methods (4 papers), Diet, Metabolism, and Disease (4 papers), Medicinal Plants and Neuroprotection (3 papers), Natural product bioactivities and synthesis (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (752 citations), Biochemistry (231 citations) and Complementary and alternative medicine (294 citations). P. Daisy has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include J. Eliza, Savarimuthu Ignacimuthu, Veeramuthu Duraipandiyan, Manikkam Rajalakshmi, S. Ignacimuthu, M. Rajalakshmi, K. Balasubramanian, Selvaraj Jayaraman, Eagambaram Murugan and Periyasamy Vijayalakshmi. Their work appears in journals such as Chemico-Biological Interactions, Medicinal Chemistry Research, Phytomedicine, Microbial Drug Resistance and Pharmaceutical Biology.

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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