Minoli A. Perera

5.1k total citations · 1 hit paper
79 papers, 2.4k citations indexed

About

Minoli A. Perera is a scholar working on Pharmacology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Minoli A. Perera has authored 79 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pharmacology, 24 papers in Genetics and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Minoli A. Perera's work include Pharmacogenetics and Drug Metabolism (35 papers), Genetic Associations and Epidemiology (17 papers) and Hormonal Regulation and Hypertension (14 papers). Minoli A. Perera is often cited by papers focused on Pharmacogenetics and Drug Metabolism (35 papers), Genetic Associations and Epidemiology (17 papers) and Hormonal Regulation and Hypertension (14 papers). Minoli A. Perera collaborates with scholars based in United States, Japan and United Kingdom. Minoli A. Perera's co-authors include Larisa H. Cavallari, Basil J. Nikolau, Eric R. Gamazon, Libuse Brachova, Brent H. Shanks, Shitalben Patel, Teri E. Klein, Mia Wadelius, Li Gong and Brian F. Gage and has published in prestigious journals such as JAMA, Blood and The Journal of Immunology.

In The Last Decade

Minoli A. Perera

76 papers receiving 2.4k citations

Hit Papers

Clinical Pharmacogenetics Implementation Consortium (CPIC... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Minoli A. Perera
Comparison fields: 5 of 147
  • Pharmacology 878
  • Molecular Biology 787
  • Genetics 450
  • Plant Science 351
  • Endocrinology, Diabetes and Metabolism 298
Replace Koichi Ueno with:
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Ming Yu China
Beverly Lyn‐Cook United States
Changquan Ling China
Lifang Liu China
Yuan Li China
Noriyasu Hirasawa Japan
Yin Xiong United States
Susan Hester United States
Koichi Ueno Japan View profile →
Citations per field, relative to Minoli A. Perera
Minoli A. Perera · 1×
Citations per year, relative to Minoli A. Perera
Minoli A. Perera · 1×

Countries citing papers authored by Minoli A. Perera

Since Specialization
Citations

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

Fields of papers citing papers by Minoli A. Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minoli A. Perera

This figure shows the co-authorship network connecting the top 25 collaborators of Minoli A. Perera. A scholar is included among the top collaborators of Minoli A. Perera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minoli A. Perera. Minoli A. Perera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 8
5 2
6 16
7 9
8 24
9 14
10 14
11 3
12 71
13 6
14 6
15 82
16 77
17 36
18 148
19 82
20 85

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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