Joseph A. Grillo

2.6k total citations · 1 hit paper
28 papers, 2.0k citations indexed

About

Joseph A. Grillo is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Statistics and Probability. According to data from OpenAlex, Joseph A. Grillo has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 9 papers in Pediatrics, Perinatology and Child Health and 6 papers in Statistics and Probability. Recurrent topics in Joseph A. Grillo's work include Pharmacogenetics and Drug Metabolism (9 papers), Pharmaceutical studies and practices (8 papers) and Statistical Methods in Clinical Trials (6 papers). Joseph A. Grillo is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Pharmaceutical studies and practices (8 papers) and Statistical Methods in Clinical Trials (6 papers). Joseph A. Grillo collaborates with scholars based in United States, Sweden and Canada. Joseph A. Grillo's co-authors include Kenneth C. Schoendorf, Tracey J. Woodruff, Ping Zhao, Shiew‐Mei Huang, Manuela Grimstein, Yaning Wang, Xinyuan Zhang, Yuching Yang, Vikram Sinha and Vicky Hsu and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Environmental Health Perspectives.

In The Last Decade

Joseph A. Grillo

27 papers receiving 1.9k citations

Hit Papers

Physiologically Based Pharmacokinetic Modeling in Regulat... 2018 2026 2020 2023 2018 50 100 150 200

Peers

Joseph A. Grillo
Comparison fields: 5 of 138
  • Pharmacology 619
  • Oncology 459
  • Pediatrics, Perinatology and Child Health 404
  • Molecular Biology 311
  • Health, Toxicology and Mutagenesis 302
Replace Issam Zineh with:
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Thomas F. Kalhorn United States
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Citations per field, relative to Joseph A. Grillo
Joseph A. Grillo · 1×
Citations per year, relative to Joseph A. Grillo
Joseph A. Grillo · 1×

Countries citing papers authored by Joseph A. Grillo

Since Specialization
Citations

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

Fields of papers citing papers by Joseph A. Grillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph A. Grillo

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph A. Grillo. A scholar is included among the top collaborators of Joseph A. Grillo 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 Joseph A. Grillo. Joseph A. Grillo 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 0
2 2
3 138
4
Physiologically Based Pharmacokinetic Modeling in Regulatory Science: An Update From the U.S. Food and Drug Administration’s Office of Clinical Pharmacology breakdown →
241
5 2
6 22
7 39
8 217
9 119
10 32
11 80
12 107
13 402
14 2
15 35
16 6
17 304
18 13
19 2
20 46

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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