László Endrényi

148 papers receiving 3.7k citations

Peers

László Endrényi
Comparison fields: 5 of 159
  • Statistics and Probability 797
  • Pharmacology 729
  • Pediatrics, Perinatology and Child Health 486
  • Pharmaceutical Science 164
  • Pathology and Forensic Medicine 360
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Johan Gabrielsson Sweden
Donald R. Stanski United States
Thomas N. Tozer United States
Karthik Venkatakrishnan United States
Roberto Goméni Italy
Wayne A. Colburn United States
Harold Boxenbaum United States
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Citations per field
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Johan Gabrielsson · 1×
Citations per year

Countries citing papers authored by László Endrényi

Since Specialization
Citations

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

Fields of papers citing papers by László Endrényi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000339
2 1998245
3 1973200
4 1980184
5 1987143
6
Cmax/AUC is a clearer measure than Cmax for absorption rates in investigations of bioequivalence.
1991118
7 197578
8 198174
9 200970
10 197666
11 198162
12 198160
13 200359
14 197351
15 199149
16 200149
17 197548
18 198045
19 197643
20 197643

About László Endrényi

László Endrényi is a scholar working on Statistics and Probability, Molecular Biology, Immunology, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 152 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (57 papers), Biosimilars and Bioanalytical Methods (20 papers), Optimal Experimental Design Methods (16 papers), Pharmacogenetics and Drug Metabolism (15 papers), Computational Drug Discovery Methods (14 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Ion channel regulation and function (11 papers) and Pharmaceutical studies and practices (11 papers). The work is most often cited by research in Statistics and Probability (797 citations), Pharmacology (729 citations), Pediatrics, Perinatology and Child Health (486 citations), Pharmaceutical Science (164 citations) and Pathology and Forensic Medicine (360 citations). László Endrényi has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include László Tóthfalusi, W. Kalow, Weiyi Tang, Charles H. Tator, Vural Özdemir, Howard Cappell, A. E. LeBlanc, Beverley A. Britt, Bing-Kou Tang and Eugen J. Dolan. Their work appears in journals such as Pharmaceutical Research, Canadian Journal of Anesthesia/Journal canadien d anesthésie, Clinical Pharmacology & Therapeutics, Journal of Biopharmaceutical Statistics and OMICS A Journal of Integrative 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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