Vidya Perera

1.4k citations
48 papers · 1.1k indexed · h-index 15

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 12
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 11

Vidya Perera

42 papers receiving 1.0k citations

Peers

Vidya Perera
Comparison fields: 5 of 109
  • Geriatrics and Gerontology 212
  • Pharmacology 177
  • Internal Medicine 66
  • Genetics 182
  • Cardiology and Cardiovascular Medicine 328
Replace S. Harder with:
S. Harder Germany
Alberto M. Borobia Spain
Rickard E. Malmström Sweden
Éric Pautas France
Jesús Frías Spain
Victoria Rollason Switzerland
Masayuki Hashiguchi Japan
Mitsutaka Takada Japan
Deborah Layton United Kingdom
Barry E. Gidal United States
Vidya Perera relative to S. Harder Germany S. Harder's profile →
Citations per field
00.5×10.7×
S. Harder · 1×
Citations per year

Countries citing papers authored by Vidya Perera

Since Specialization
Citations

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

Fields of papers citing papers by Vidya Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20242
5 20237
6 20235
7 20235
8 20236
9 20226
10 202218
11 202225
12 202232
13 202213
14 20211
15 202013
16 20202
17 201813
18 201413
19 201332
20 2008165

About Vidya Perera

Vidya Perera is a scholar working on Pharmacology, Genetics, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (11 papers), Vitamin K Research Studies (7 papers), Atrial Fibrillation Management and Outcomes (4 papers), Schizophrenia research and treatment (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (212 citations), Pharmacology (177 citations), Internal Medicine (66 citations), Genetics (182 citations) and Cardiology and Cardiovascular Medicine (328 citations). Vidya Perera has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Andrew J. McLachlan, Annette S. Gross, Beata Bajorek, Sarah N. Hilmer, Slade Matthews, Bridin Murnion, Eleanor Mitchell, Darryl Rolfson, Zhaoqing Wang and Mary M. DeSouza. Their work appears in journals such as Scientific Reports, CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics and European Heart Journal.

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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