J Vénulet

575 citations
53 papers · 436 · h-index 12

Impact in

Papers in

J Vénulet

47 papers receiving 358 citations

Peers

J Vénulet
Comparison fields: 5 of 95
  • Toxicology 200
  • Geriatrics and Gerontology 61
  • Pharmacology 59
  • Statistics and Probability 51
  • Family Practice 8
Replace Fred H.P. De Koning with:
Fred H.P. De Koning Netherlands
Syed Rizwanuddin Ahmad United States
Cecilia Biriell Sweden
Muaed Jamal Alomar United Arab Emirates
LF Gram Denmark
Boris Kerzner United States
Taofikat B. Agbabiaka United Kingdom
Allen C. Rossi United States
H Albín France
N A Kshirsagar India
J Vénulet relative to Fred H.P. De Koning Netherlands Fred H.P. De Koning's profile →
Citations per field
00.5×
Fred H.P. De Koning · 1×
Citations per year

Countries citing papers authored by J Vénulet

Since Specialization
Citations

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

Fields of papers citing papers by J Vénulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside J Vénulet, 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 J Vénulet Line = papers co-authored together J Vénulet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198241
2
Updating of a method for causality assessment of adverse drug reactions.
198638
3
Methods for monitoring and documenting adverse drug reactions.
199633
4
Standardized assessment of drug-adverse reaction associations--rationale and experience.
198033
5 198523
6 197421
7 201018
8
Core data for epidemiological studies of nonmedical drug use.
198018
9 199217
10 198415
11 195113
12 195211
13 199810
14
Assessing causes of adverse drug reactions with special reference to standardized methods
19829
15 19729
16
From experimental to social pharmacology. Natural history of pharmacology.
19748
17 19607
18
The economics of adverse reactions to drugs.
19757
19 19647
20 19777

About J Vénulet

J Vénulet is a scholar working on Toxicology, Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health, Pharmacology and Statistics and Probability, having authored 53 papers that have together received 436 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (21 papers), Computational Drug Discovery Methods (18 papers), Statistical Methods in Clinical Trials (7 papers), Pharmaceutical studies and practices (7 papers), Pharmaceutical Economics and Policy (5 papers), Pharmaceutical Practices and Patient Outcomes (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Toxicology (200 citations), Geriatrics and Gerontology (61 citations), Pharmacology (59 citations), Statistics and Probability (51 citations) and Family Practice (8 citations). J Vénulet has collaborated with scholars based in Switzerland, Poland and Syria. Frequent co-authors include Russell J. Blattner, Jacob Bülow, T. Urbański, B. Royall, Z. Bankowski, Irving Rootman, Robert L. Van Etten, Heikki Hakkarainen, Yongqi Wu and János Pórszász. Their work appears in journals such as Drug Information Journal, Nature, Methods of Information in Medicine, Drug Safety and Cellular and Molecular Life Sciences.

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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