Jim E. Riviere
About
Jim E. Riviere is a scholar working on Pharmacology, Small Animals and Food Science.
According to data from OpenAlex, Jim E. Riviere has authored 321 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Pharmacology, 56 papers in Small Animals and 56 papers in Food Science. Recurrent topics in Jim E. Riviere's work include Antibiotics Pharmacokinetics and Efficacy (89 papers), Pesticide Residue Analysis and Safety (37 papers) and Advancements in Transdermal Drug Delivery (33 papers). Jim E. Riviere is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (89 papers), Pesticide Residue Analysis and Safety (37 papers) and Advancements in Transdermal Drug Delivery (33 papers). Jim E. Riviere collaborates with scholars based in United States, China and Switzerland. Jim E. Riviere's co-authors include Nancy A. Monteiro‐Riviere, Ronald E. Baynes, Zhoumeng Lin, Jessica P. Ryman-Rasmussen, Alfred O. Inman, Ronette Gehring, Xin‐Rui Xia, Lisa A. Tell, Geoffrey Smith and R. J. Nemanich and has published in prestigious journals such as Journal of Clinical Oncology, Nano Letters and ACS Nano.
In The Last Decade
Jim E. Riviere
315 papers receiving 9.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Jim E. Riviere United States | 48 | 2.6k | 1.7k | 1.5k | 1.5k | 1.4k | 321 | 9.5k | ||
| Yves‐Jacques Schneider Belgium | 56 | 565 0.2× | 1.0k 0.6× | 337 0.2× | 2.9k 2.0× | 1.2k 0.9× | 168 | 9.7k | ||
| Celso Vataru Nakamura Brazil | 58 | 781 0.3× | 1.1k 0.6× | 737 0.5× | 3.4k 2.3× | 1.4k 1.0× | 522 | 14.4k | ||
| Claus‐Michael Lehr Germany | 81 | 1.8k 0.7× | 3.5k 2.0× | 312 0.2× | 6.1k 4.2× | 4.3k 3.1× | 417 | 22.0k | ||
| Richard H. Guy United States | 77 | 907 0.4× | 3.0k 1.7× | 337 0.2× | 3.4k 2.3× | 586 0.4× | 426 | 22.3k | ||
| Jayanta Kumar Patra South Korea | 51 | 3.0k 1.2× | 2.6k 1.5× | 883 0.6× | 3.4k 2.4× | 2.2k 1.6× | 183 | 13.8k | ||
| Mariana Carmen Chifiriuc Romania | 45 | 1.9k 0.7× | 1.9k 1.1× | 322 0.2× | 2.4k 1.7× | 1.0k 0.7× | 484 | 9.1k | ||
| Massimiliano Galdiero Italy | 47 | 2.6k 1.0× | 1.5k 0.9× | 288 0.2× | 2.9k 2.0× | 725 0.5× | 295 | 10.1k | ||
| Jia‐You Fang Taiwan | 61 | 720 0.3× | 1.4k 0.8× | 551 0.4× | 3.4k 2.3× | 1.6k 1.1× | 333 | 13.0k | ||
| Salette Reis Portugal | 63 | 881 0.3× | 1.4k 0.8× | 852 0.6× | 4.8k 3.3× | 1.9k 1.4× | 332 | 13.5k | ||
| Muhammad Raza Shah Pakistan | 46 | 2.5k 1.0× | 1.7k 0.9× | 510 0.3× | 2.4k 1.6× | 923 0.7× | 469 | 8.5k |
Countries citing papers authored by Jim E. Riviere
Since
Specialization
Citations
This map shows the geographic impact of Jim E. Riviere'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 Jim E. Riviere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim E. Riviere more than expected).
Fields of papers citing papers by Jim E. Riviere
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jim E. Riviere. 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 Jim E. Riviere. The network helps show where Jim E. Riviere may publish in the future.
Co-authorship network of co-authors of Jim E. Riviere
This figure shows the co-authorship network connecting the top 25 collaborators of Jim E. Riviere. A scholar is included among the top collaborators of Jim E. Riviere 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 Jim E. Riviere. Jim E. Riviere is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Lin, Zhoumeng, et al.. (2025). Applications of PBPK Models to Predict Tissue Residues and Extralabel Withdrawal Times of Drugs in Food Animals: Perspectives from the Food Animal Residue Avoidance Databank (FARAD) Program. The AAPS Journal. 27(6). 153–153.
2.
Canchola, Alexa, Kunpeng Chen, Chi‐Yun Chen, et al.. (2025). Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media. ACS Nano. 19(43). 37633–37650.
3.
Jaberi‐Douraki, Majid, Xuan Xu, Danai Dima, et al.. (2024). Global disparities in drug-related adverse events of patients with multiple myeloma: a pharmacovigilance study. Blood Cancer Journal. 14(1). 223–223.
4.
Xu, Xuan, Shahzad Raza, Jim E. Riviere, et al.. (2023). Identification of genes encoding targets associated with adverse events in multiple myeloma.. Journal of Clinical Oncology. 41(16_suppl). 1556–1556.
5.
Chou, Wei‐Chun, Yi‐Hsien Cheng, Jim E. Riviere, et al.. (2022). Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats. Particle and Fibre Toxicology. 19(1). 47–47.
6.
Li, Miao, Ronald E. Baynes, Lisa A. Tell, et al.. (2020). Physiological parameter values for physiologically based pharmacokinetic models in food‐producing animals. Part III: Sheep and goat. Journal of Veterinary Pharmacology and Therapeutics. 44(4). 456–477.
7.
Lin, Zhoumeng, Miao Li, Lisa A. Tell, et al.. (2020). Physiological parameter values for physiologically based pharmacokinetic models in food‐producing animals. Part I: Cattle and swine. Journal of Veterinary Pharmacology and Therapeutics. 43(5). 385–420.
8.
Li, Miao, Locke A. Karriker, Larry W. Wulf, et al.. (2019). An integrated experimental and physiologically based pharmacokinetic modeling study of penicillin G in heavy sows. Journal of Veterinary Pharmacology and Therapeutics. 42(4). 461–475.
9.
Cheng, Yi‐Hsien, Jim E. Riviere, Nancy A. Monteiro‐Riviere, & Zhoumeng Lin. (2018). Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling. Nanotoxicology. 12(5). 453–469.
10.
Toutain, Pierre‐Louis, Didier Concordet, Ronette Gehring, et al.. (2017). Mathematical modeling and simulation in animal health. Part III : Using nonlinear mixed‐effects to characterize and quantify variability in drug pharmacokinetics. Journal of Veterinary Pharmacology and Therapeutics. 41(2). 171–183.
11.
Lin, Sijie, Monika Mortimer, Ran Chen, et al.. (2017). NanoEHS beyond toxicity – focusing on biocorona. Environmental Science Nano. 4(7). 1433–1454.
12.
Lin, Zhoumeng, Joan D. Rowe, Mengjie Li, et al.. (2016). Estimation of tulathromycin depletion in plasma and milk after subcutaneous injection in lactating goats using a nonlinear mixed-effects pharmacokinetic modeling approach. BMC Veterinary Research. 12(1). 258–258.
13.
Monteiro‐Riviere, Nancy A., M. Teresa Ortega, Kyoungju Choi, et al.. (2015). Comparative In Vitro Cytotoxicity of 20 Potential Food Ingredients in Canine Liver, Kidney, Bone Marrow-Derived Mesenchymal Stem Cells, and Enterocyte-like Cells. 1(4). 276–288.
14.
Riviere, Jim E., et al.. (2010). Surfactant Effects on Skin Absorption of Model Organic Chemicals: Implications for Dermal Risk Assessment Studies. Journal of Toxicology and Environmental Health. 73(11). 725–737.
15.
Craigmill, Arthur L., et al.. (2004). Meta‐analysis of pharmacokinetic data of veterinary drugs using the Food Animal Residue Avoidance Databank: oxytetracycline and procaine penicillin G. Journal of Veterinary Pharmacology and Therapeutics. 27(5). 343–353.
16.
Riviere, Jim E., Alistair I. Webb, & Arthur L. Craigmill. (1998). Primer on estimating withdrawal times after extralabel drug use. Journal of the American Veterinary Medical Association. 213(7). 966–968.
17.
Craigmill, Arthur L., et al.. (1997). Extralabel use of tranquilizers and general anesthetics. Journal of the American Veterinary Medical Association. 211(3). 302–304.
18.
Page, Rodney L., Margaret C. McEntee, Patrick Williams, et al.. (1993). Pharmacokinetic and Phase I Evaluation of Carboplatin in Dogs. Journal of Veterinary Internal Medicine. 7(4). 235–240.
19.
Riviere, Jim E., et al.. (1990). Nonuniform alteration of cis-diamminedichloroplatinum(II) tissue distribution in dogs with whole body hyperthermia.. PubMed. 50(7). 2075–80.
20.
Vaden, Shelly L. & Jim E. Riviere. (1990). Pharmacokinetics, inhibition of lymphoblast transformation, and toxicity of cyclosporine in clinically normal pigs. American Journal of Veterinary Research. 51(3). 399–403.
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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