Eugene Laska

174 papers receiving 6.8k citations

Eugene Laska's Hit Papers

Prevalence of Autism Spectrum Disorders in a Total Population Sample 2011 · 1.0k citations
1.0k0+8+16Years since publication2505007501000

Peers

Eugene Laska
Comparison fields: 5 of 188
  • Psychiatry and Mental health 1.2k
  • Cognitive Neuroscience 1.5k
  • Statistics and Probability 555
  • Anesthesiology and Pain Medicine 258
  • Clinical Psychology 1.1k
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Countries citing papers authored by Eugene Laska

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Laska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eugene Laska, 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 Eugene Laska Line = papers co-authored together Eugene Laska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of Autism Spectrum Disorders in a Total Population Sample
Hit paper breakdown →
20111019
2
The prevalence and correlates of untreated serious mental illness.
Hit paper breakdown →
2001551
3 2003314
4 2007276
5 2006215
6 1986202
7 1984192
8 2019129
9
Mood disorders pharmacologic prevention of recurrences
1985127
10 1988126
11 1996121
12 2008102
13 1989102
14 199795
15 201894
16 200490
17 198390
18 201990
19 201587
20
Optimal crossover designs in the presence of carryover effects.
198384

About Eugene Laska

Eugene Laska is a scholar working on Statistics and Probability, Psychiatry and Mental health, Economics and Econometrics, Pharmacology and Cognitive Neuroscience, having authored 179 papers that have together received 7.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (20 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Anesthesia and Pain Management (13 papers), Schizophrenia research and treatment (12 papers), Pain Mechanisms and Treatments (11 papers), Advanced Statistical Methods and Models (11 papers), Pain Management and Placebo Effect (10 papers) and Optimal Experimental Design Methods (9 papers). The work is most often cited by research in Psychiatry and Mental health (1.2k citations), Cognitive Neuroscience (1.5k citations), Statistics and Probability (555 citations), Anesthesiology and Pain Medicine (258 citations) and Clinical Psychology (1.1k citations). Eugene Laska has collaborated with scholars based in United States, Puerto Rico and Switzerland. Frequent co-authors include Morris Meisner, Carole Siegel, Abraham Sunshine, Young S. Kim, Éric Fombonne, Soo‐Jeong Kim, Keun‐Ah Cheon, Nancy Z. Olson, Hyun-Kyung Lee and Dong‐Ho Song. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Journal of the American Statistical Association, Biometrics, Statistics in Medicine and The Journal of Clinical Pharmacology.

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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