Perera Ga is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Pharmacology.
According to data from OpenAlex, Perera Ga has authored 6 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Pharmacology. Recurrent topics in Perera Ga's work include Neonatal Respiratory Health Research (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). Perera Ga is often cited by papers focused on Neonatal Respiratory Health Research (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). Perera Ga collaborates with scholars based in United States. Perera Ga's co-authors include Di Sant'agnese Pa, Eileen Shea, Darling Rc, William Goldring and E. H. Weiss and has published in prestigious journals such as PubMed.
In The Last Decade
Perera Ga
6 papers
receiving
316 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Citations per year, relative to Perera Ga Perera Ga (= 1×)
peers
Mavis Freeman
Countries citing papers authored by Perera Ga
Since
Specialization
Citations
This map shows the geographic impact of Perera Ga'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 Perera Ga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Perera Ga more than expected).
This network shows the impact of papers produced by Perera Ga. 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 Perera Ga. The network helps show where Perera Ga may publish in the future.
Co-authorship network of co-authors of Perera Ga
This figure shows the co-authorship network connecting the top 25 collaborators of Perera Ga.
A scholar is included among the top collaborators of Perera Ga 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 Perera Ga. Perera Ga is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
6 of 6 papers shown
1.
Ga, Perera, et al.. (1960). The family of hypertensive man.. PubMed. 72. 175–9.1 indexed citations
2.
Ga, Perera. (1958). The accelerated form of hypertension: a unique entity.. PubMed. 71. 62–8.10 indexed citations
3.
Ga, Perera. (1955). Edema and congestive failure related to administration of Rauwolfia serpentina.. PubMed. 159(5). 439–439.19 indexed citations
4.
Goldring, William, et al.. (1954). Hypertensive vascular disease; transcription of a panel meeting on therapeutics.. PubMed. 30(5). 376–98.2 indexed citations
Ga, Perera, et al.. (1952). Clinical characteristics of hypertension associated with unilateral renal disease.. PubMed. 65. 134–8.3 indexed citations
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.