Gregory G. Enas

2.2k total citations · 1 hit paper
25 papers, 1.6k citations indexed

About

Gregory G. Enas is a scholar working on Statistics and Probability, Neurology and Pharmacology. According to data from OpenAlex, Gregory G. Enas has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 6 papers in Neurology and 5 papers in Pharmacology. Recurrent topics in Gregory G. Enas's work include Statistical Methods in Clinical Trials (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Traumatic Brain Injury Research (5 papers). Gregory G. Enas is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Traumatic Brain Injury Research (5 papers). Gregory G. Enas collaborates with scholars based in United States. Gregory G. Enas's co-authors include Sung C. Choi, Donald P. Becker, Richard P. Greenberg, P. R. S. Kishore, Raj K. Narayan, H Lutz, Jonathan Denne, John B. Selhorst, Ilya Lipkovich and Alex Dmitrienko and has published in prestigious journals such as Journal of neurosurgery, Journal of Pharmacology and Experimental Therapeutics and Statistics in Medicine.

In The Last Decade

Gregory G. Enas

24 papers receiving 1.4k citations

Hit Papers

Improved confidence of outcome prediction in severe head ... 1981 2026 1996 2011 1981 100 200 300 400

Peers

Gregory G. Enas
Charles Bernick United States
Alan J. Wilensky United States
Barbara Gulanski United States
Elyse Katz United States
F. Piette France
Ronald Gieschke Switzerland
R. Eugene Ramsay United States
Jaap W. Mandema United States
Charles Bernick United States
Gregory G. Enas
Citations per year, relative to Gregory G. Enas Gregory G. Enas (= 1×) peers Charles Bernick

Countries citing papers authored by Gregory G. Enas

Since Specialization
Citations

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

Fields of papers citing papers by Gregory G. Enas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory G. Enas. 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 Gregory G. Enas. The network helps show where Gregory G. Enas may publish in the future.

Co-authorship network of co-authors of Gregory G. Enas

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory G. Enas. A scholar is included among the top collaborators of Gregory G. Enas 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 Gregory G. Enas. Gregory G. Enas 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
1.
Rockhold, Frank W. & Gregory G. Enas. (2011). 10 Years with ICH E10: Choice of Control Groups. Pharmaceutical Statistics. 10(5). 407–409. 3 indexed citations
2.
Enas, Gregory G. & John Sahl Andersen. (2001). Enhancing the value delivered by the statistician throughout drug discovery and development: putting statistical science into regulated pharmaceutical innovation. Statistics in Medicine. 20(17-18). 2697–2708. 5 indexed citations
3.
Huster, William J. & Gregory G. Enas. (1998). A framework establishing clear decision criteria for the assessment of drug efficacy. Statistics in Medicine. 17(15-16). 1829–1838. 4 indexed citations
4.
Enas, Gregory G. & D. Goldstein. (1995). DEFINING, MONITORING AND COMBINING SAFETY INFORMATION IN CLINICAL TRIALS. Statistics in Medicine. 14(9). 1099–1111. 11 indexed citations
5.
Tollefson, Gary D., Alvin H. Rampey, Charles M. Beasley, Gregory G. Enas, & Janet H. Potvin. (1994). Absence of a Relationship Between Adverse Events and Suicidality During Pharmacotherapy for Depression. Journal of Clinical Psychopharmacology. 14(3). 163???169–163???169. 44 indexed citations
6.
Rockhold, Frank W., Gregory G. Enas, Peter B. Meier, et al.. (1993). Discussion: Frank W Rockhold and G Enas, data monitoring and interim analyses in the pharmaceutical industry: Ethical and logistical considerations: George W Williams et al, monitoring of clinical trials and interim analyses from a drug sponsor's point of view. Statistics in Medicine. 12. 493–495. 1 indexed citations
7.
Rockhold, Frank W. & Gregory G. Enas. (1993). Data monitoring and interim analyses in the pharmaceutical industry: Ethical and logistical considerations. Statistics in Medicine. 12(5-6). 471–479. 10 indexed citations
8.
Tollefson, Gary D., Alvin H. Rampey, Gregory G. Enas, & Janet H. Potvin. (1993). Does pharmacotherapy induce paradoxical worsening in some patients?. 1(2). 105–107. 1 indexed citations
9.
Enas, Gregory G.. (1991). Making Decisions about Safety in Clinical Trials — The Case for Inferential Statistics. Drug Information Journal. 25(3). 439–446. 2 indexed citations
10.
Wilson, Michael G. & Gregory G. Enas. (1991). Reference values and analysis of routine clinical laboratory data in clinical trials. Controlled Clinical Trials. 12(5). 703–703.
11.
Enas, Gregory G., et al.. (1990). Baseline Comparability in Clinical Trials: Prevention of “Poststudy Anxiety”. Drug Information Journal. 24(3). 541–548. 19 indexed citations
12.
Enas, Gregory G., et al.. (1989). Monitoring versus interim analysis of clinical trials: A perspective from the pharmaceutical industry. Controlled Clinical Trials. 10(1). 57–70. 21 indexed citations
13.
Levine, Louise R., Gregory G. Enas, W. Leigh Thompson, et al.. (1989). Use of fluoxetine, a selective serotonin-uptake inhibitor, in the treatment of obesity: a dose-response study (with a commentary by Michael Weintraub).. PubMed. 13(5). 635–45. 62 indexed citations
14.
Enas, Gregory G. & Sung C. Choi. (1986). Choice of the smoothing parameter and efficiency of k-nearest neighbor classification. Computers & Mathematics with Applications. 12(2). 235–244. 49 indexed citations
15.
Lipper, Maurice H., et al.. (1985). Computed Tomography in the Prediction of Outcome in Head Injury. American Journal of Neuroradiology. 6(1). 7–10. 5 indexed citations
16.
Lemberger, Louis, R. F. Bergstrom, Robert L. Wolen, et al.. (1985). Fluoxetine: clinical pharmacology and physiologic disposition.. PubMed. 46(3 Pt 2). 14–9. 170 indexed citations
17.
Newlon, Pauline G., Richard P. Greenberg, Gregory G. Enas, & Donald P. Becker. (1983). Effects of Therapeutic Pentobarbital Coma on Multimodality Evoked Potentials Recorded from Severely Head-injured Patients. Neurosurgery. 12(6). 613–619. 43 indexed citations
18.
Narayan, Raj K., P. R. S. Kishore, Donald P. Becker, et al.. (1982). Intracranial pressure: to monitor or not to monitor?. Journal of neurosurgery. 56(5). 650–659. 382 indexed citations
19.
Newlon, Pauline G., et al.. (1982). The dynamics of neuronal dysfunction and recovery following severe head injury assessed with serial multimodality evoked potentials. Journal of neurosurgery. 57(2). 168–177. 44 indexed citations
20.
Narayan, Raj K., Richard P. Greenberg, J. D. Miller, et al.. (1981). Improved confidence of outcome prediction in severe head injury. Journal of neurosurgery. 54(6). 751–762. 419 indexed citations breakdown →

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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