Ene Ette

3.0k total citations
68 papers, 2.1k citations indexed

About

Ene Ette is a scholar working on Statistics and Probability, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ene Ette has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 20 papers in Pharmacology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ene Ette's work include Statistical Methods in Clinical Trials (29 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers) and Statistical Methods and Bayesian Inference (14 papers). Ene Ette is often cited by papers focused on Statistical Methods in Clinical Trials (29 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers) and Statistical Methods and Bayesian Inference (14 papers). Ene Ette collaborates with scholars based in United States, Nigeria and Uganda. Ene Ette's co-authors include Paul J. Williams, Thomas M. Ludden, James R. Lane, He Sun, B. Whiting, Edmund V. Capparelli, Yong Ho Kim, Leonard C. Onyiah, Emmanuel E. Essien and Matthew W. Harding and has published in prestigious journals such as Blood, Neurology and Nature Reviews Drug Discovery.

In The Last Decade

Ene Ette

65 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ene Ette United States	24	436	423	411	375	321	68	2.1k
Emmanuelle Comets France	26	556 1.3×	420 1.0×	398 1.0×	447 1.2×	285 0.9×	84	2.8k
Martin Bergstrand Sweden	17	487 1.1×	376 0.9×	425 1.0×	175 0.5×	311 1.0×	38	2.5k
Thomas Kerbusch Netherlands	22	239 0.5×	239 0.6×	347 0.8×	165 0.4×	411 1.3×	47	1.9k
Andrew C. Hooker Sweden	21	741 1.7×	531 1.3×	543 1.3×	568 1.5×	559 1.7×	109	3.8k
Yaning Wang United States	29	380 0.9×	559 1.3×	591 1.4×	533 1.4×	769 2.4×	117	3.4k
Kayode Ogungbenro United Kingdom	24	280 0.6×	360 0.9×	363 0.9×	306 0.8×	271 0.8×	93	1.7k
B. Whiting United Kingdom	28	492 1.1×	460 1.1×	251 0.6×	301 0.8×	243 0.8×	100	2.3k
Jean‐Baptiste Woillard France	28	291 0.7×	619 1.5×	301 0.7×	135 0.4×	205 0.6×	125	2.1k
Manfred Hauben United States	26	448 1.0×	265 0.6×	141 0.3×	297 0.8×	192 0.6×	77	2.4k
J. G. Coen van Hasselt Netherlands	29	599 1.4×	407 1.0×	643 1.6×	118 0.3×	509 1.6×	115	2.6k

Countries citing papers authored by Ene Ette

Since Specialization

Citations

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

Fields of papers citing papers by Ene Ette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ene Ette

This figure shows the co-authorship network connecting the top 25 collaborators of Ene Ette. A scholar is included among the top collaborators of Ene Ette 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 Ene Ette. Ene Ette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Verbeeck, Roger K., et al.. (2024). Confirming the Suitability of a Gentamicin Dosing Strategy in Neonates Using the Population Pharmacokinetic Approach with Truncated Sampling Duration. Children. 11(8). 898–898.

Pieper, Clarissa H., et al.. (2024). Predictors of gentamicin therapy failure in neonates with sepsis. Pharmacology Research & Perspectives. 12(4). e1250–e1250. 1 indexed citations

Ette, Ene, et al.. (2023). Plasma concentration and eGFR in preterm and term neonates receiving gentamicin or successive amikacin therapy. BMC Pediatrics. 23(1). 24–24. 3 indexed citations

Mukonzo, Jackson, et al.. (2023). A mechanistic assessment of the nature of pharmacodynamic drug-drug interaction in vivo and in vitro. In Silico Pharmacology. 11(1). 31–31. 1 indexed citations

Ette, Ene, et al.. (2023). The new big is small: Leveraging knowledge from small trials for rare disease drug development: Blarcamesine for Rett syndrome. British Journal of Clinical Pharmacology. 91(4). 1049–1063. 1 indexed citations

Tolbert, Dwain, Hui‐May Chu, & Ene Ette. (2018). Pharmacometrics of Clobazam in Pediatrics: Population PK Modeling to Predict Effective Clobazam Doses for Dravet Syndrome (P4.265). Neurology. 90(15_supplement). 1 indexed citations

Mukonzo, Jackson, et al.. (2016). Transition modeling of neuropsychiatric impairment in HIV. Computers in Biology and Medicine. 73. 141–146. 3 indexed citations

Orloff, John J., Frank L. Douglas, José Cirı́aco Pinheiro, et al.. (2009). The future of drug development: advancing clinical trial design. Nature Reviews Drug Discovery. 8(12). 949–957. 110 indexed citations

Ette, Ene & Paul J. Williams. (2007). Pharmacometrics : the science of quantitative pharmacology. John Wiley & Sons eBooks. 109 indexed citations

10.

Roy, Amit & Ene Ette. (2005). A pragmatic approach to the design of population pharmacokinetic studies. The AAPS Journal. 7(2). E408–E420. 19 indexed citations

11.

Rago, Randall, Albert Einstein, Richard M. Lush, et al.. (2003). Safety and efficacy of the MDR inhibitor Incel (biricodar, VX-710) in combination with mitoxantrone and prednisone in hormone-refractory prostate cancer. Cancer Chemotherapy and Pharmacology. 51(4). 297–305. 25 indexed citations

12.

Ette, Ene & Leonard C. Onyiah. (2002). Estimating inestimable standard errors in population pharmacokinetic studies: The bootstrap with winsorization. European Journal of Drug Metabolism and Pharmacokinetics. 27(3). 213–224. 39 indexed citations

13.

Fadiran, Emmanuel O., et al.. (2000). Designing population pharmacokinetic studies: Performance of mixed designs. European Journal of Drug Metabolism and Pharmacokinetics. 25(3-4). 231–239. 4 indexed citations

14.

Ette, Ene, et al.. (1998). On covariates and parameter estimation in population pharmacokinetic studies. Clinical Pharmacology & Therapeutics. 63(2). 202. 1 indexed citations

15.

Ette, Ene. (1997). Stability and Performance of a Population Pharmacokinetic Model. The Journal of Clinical Pharmacology. 37(6). 486–495. 295 indexed citations

16.

Sun, He, Ene Ette, & Thomas M. Ludden. (1996). On the recording of sample times and parameter estimation from repeated measures pharmacokinetic data. Journal of Pharmacokinetics and Biopharmaceutics. 24(6). 637–650. 19 indexed citations

17.

Ette, Ene, et al.. (1990). Ivermectin: A Long-Acting Microfilaricidal Agent. DICP. 24(4). 426–433. 19 indexed citations

18.

Essien, Emmanuel E., et al.. (1989). Determination of Saliva: Total Plasma Chloroquine Levels Relationship by High Performance Liquid Chromatography. The Journal of Clinical Pharmacology. 29(12). 1135–1139. 6 indexed citations

19.

Essien, Emmanuel E., et al.. (1988). Evaluation of the effect of co-administered paracetamol on the gastro-intestinal absorption and disposition of chloroquine. Journal of Pharmaceutical and Biomedical Analysis. 6(5). 521–526. 2 indexed citations

20.

Ette, Ene, et al.. (1987). Chloroquine Elimination in Humans: Effect of Low‐Dose Cimetidine. The Journal of Clinical Pharmacology. 27(10). 813–816. 29 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.

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