Stanley E. Lazic

19.8k citations
64 papers · 2.4k indexed · h-index 25

Impact in

Papers in

Stanley E. Lazic

62 papers receiving 2.4k citations

Peers

Stanley E. Lazic
Comparison fields: 5 of 176
  • Developmental Neuroscience 323
  • Behavioral Neuroscience 209
  • Biological Psychiatry 81
  • Cellular and Molecular Neuroscience 542
  • Neurology 212
Replace Stephen M. Evans with:
Stephen M. Evans United Kingdom
Arne Möller Denmark
Elissa J. Chesler United States
Xia Yang United States
Matthew J. Huentelman United States
David A. Williams Australia
Carrolee Barlow United States
Yin Yao Shugart United States
Mercedes Fernández Italy
Mark L. Day United States
Stanley E. Lazic relative to Stephen M. Evans United Kingdom Stephen M. Evans's profile →
Citations per field
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Stephen M. Evans · 1×
Citations per year

Countries citing papers authored by Stanley E. Lazic

Since Specialization
Citations

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

Fields of papers citing papers by Stanley E. Lazic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanley E. Lazic. 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 Stanley E. Lazic. The network helps show where Stanley E. Lazic may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20238
3 20214
4 20205
5 202033
6 20205
7 202079
8 201985
9 201742
10 201522
11 201511
12 201429
13 20145
14 201214
15 201137
16 201124
17 201138
18 200922
19 2004131
20 200319

About Stanley E. Lazic

Stanley E. Lazic is a scholar working on Developmental Neuroscience, Statistics and Probability, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Statistics, Probability and Uncertainty, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (5 papers), Meta-analysis and systematic reviews (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pluripotent Stem Cells Research (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Developmental Neuroscience (323 citations), Behavioral Neuroscience (209 citations), Biological Psychiatry (81 citations), Cellular and Molecular Neuroscience (542 citations) and Neurology (212 citations). Stanley E. Lazic has collaborated with scholars based in United Kingdom, Switzerland and Australia. Frequent co-authors include Roger A. Barker, Marcus R. Munafò, Dominic P. Williams, Elizaveta Semenova, Robert D. Ogilvie, Colin Blakemore, Helen Grote, Anthony J. Hannan, Anton van Dellen and Anikó Kőrösi. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Scientific Reports, BMC Neuroscience, Laboratory Animals and Drug Metabolism and Disposition.

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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