Padmini Devi

449 citations
21 papers · 331 · h-index 10

Impact in

Papers in

Padmini Devi

21 papers receiving 310 citations

Peers

Padmini Devi
Comparison fields: 5 of 69
  • Geriatrics and Gerontology 47
  • Toxicology 22
  • Applied Microbiology and Biotechnology 12
  • Cardiology and Cardiovascular Medicine 70
  • Family Practice 5
Replace William D. Linn with:
William D. Linn United States
M Kuželová Slovakia
Hanne Madsen Denmark
Toni L. Ripley United States
Jacqueline S. Marinac United States
I. Landrin France
Maria Beatrice Zazzara Italy
Kabaye Kumela Ethiopia
Encarnación Blanco‐Reina Spain
Keith Beard United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Padmini Devi

Since Specialization
Citations

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

Fields of papers citing papers by Padmini Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 201247
3 200935
4 201533
5 200819
6 201111
7 200710
8 201410
9 20119
10 20149
11 20118
12
Drug information needs of physicians treating diabetic nephropathy in a tertiary care hospital.
20087
13 20176
14 20045
15 20205
16 20134
17 20214
18 20162
19 20222
20 20132

About Padmini Devi

Padmini Devi is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Toxicology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 331 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (4 papers), Blood Pressure and Hypertension Studies (4 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Patient Safety and Medication Errors (2 papers), Sodium Intake and Health (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Potassium and Related Disorders (1 paper). The work is most often cited by research in Geriatrics and Gerontology (47 citations), Toxicology (22 citations), Applied Microbiology and Biotechnology (12 citations), Cardiology and Cardiovascular Medicine (70 citations) and Family Practice (5 citations). Padmini Devi has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include Lisha Jenny John, Alben Sigamani, Denis Xavier, Rajeev Gupta, Prafulla Kerkar, Shamanna S. Iyengar, Chanda Kulkarni, Prem Pais, Rajnish Joshi and Mangala Rao. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Indian Journal of Pharmaceutical Sciences, European Journal of Clinical Pharmacology, Blood Pressure and Journal of Human Hypertension.

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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