Trent Gaugler

1.8k citations
28 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Statistical Methods and Bayesian Inference (3 papers)Nutritional Studies and Diet (3 papers)Attachment and Relationship Dynamics (3 papers)
Journals
Nature GeneticsSHILAP Revista de lepidopterologíaJournal of the American Statistical Association

In The Last Decade

Trent Gaugler

26 papers receiving 1.1k citations

Hit Papers

Most genetic risk for autism resides with common variation20142026201820222014250500750

Peers

Trent Gaugler
Comparison fields: 5 of 131
  • Cognitive Neuroscience 589
  • Genetics 520
  • Molecular Biology 292
  • Public Health, Environmental and Occupational Health 161
  • Psychiatry and Mental health 102
Replace Paola Visconti with:
Paola Visconti Italy
Yolanda de Diego‐Otero Spain
Harry A. Mackay United States
Judith Logel United States
Kaori Matsumoto Japan
Kulbir Kaur India
Lijie Wu China
Lanxin Ji United States
Marie Tippett United States
Olivia J. Veatch United States
Trent Gaugler relative to Paola Visconti Italy Paola Visconti's profile →
Citations per field
00.5×4.6×
Paola Visconti · 1×
Citations per year

Countries citing papers authored by Trent Gaugler

Since Specialization
Citations

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

Fields of papers citing papers by Trent Gaugler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trent Gaugler

This figure shows the co-authorship network connecting the top 25 collaborators of Trent Gaugler. A scholar is included among the top collaborators of Trent Gaugler 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 Trent Gaugler. Trent Gaugler 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
#WorkIndexed citations
1 6
2 0
3 21
4 8
5 2
6 4
7 20
8 10
9 27
10 22
11 28
12 43
13 43
14
Most genetic risk for autism resides with common variationbreakdown →
774
15 1
16 1
17 2
18 7
19 99
20 4

About Trent Gaugler

Trent Gaugler is a scholar working on Speech and Hearing, Statistics and Probability and Health, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Nutritional Studies and Diet (3 papers) and Attachment and Relationship Dynamics (3 papers). The work is most often cited by research in Cognitive Neuroscience (589 citations), Genetics (520 citations) and Biochemistry (46 citations). Trent Gaugler has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Yudi Pawitan, Pamela Sklar, Christina M. Hultman, Joseph D. Buxbaum, Milind Mahajan, Jennifer Reichert, Sven Sandin, Abraham Reichenberg, Lambertus Klei and Oscar Svantesson. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

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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