Lisa T. Eyler

16.1k citations
198 papers · 7.7k indexed · 1 hit paper · h-index 47
Topics
Functional Brain Connectivity Studies (73 papers)Bipolar Disorder and Treatment (53 papers)Advanced Neuroimaging Techniques and Applications (32 papers)

In The Last Decade

Lisa T. Eyler

192 papers receiving 7.6k citations

Hit Papers

Distinct Genetic Influences on Cortical Surface Area and ...20092026201420202009250500750

Peers

Lisa T. Eyler
Comparison fields: 5 of 148
  • Cognitive Neuroscience 4.2k
  • Psychiatry and Mental health 2.4k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Experimental and Cognitive Psychology 958
  • Genetics 785
Replace David J. Schretlen with:
David J. Schretlen United States
Matthew J. Hoptman United States
Nikolaos Koutsouleris Germany
Warren D. Taylor United States
Christine Fennema‐Notestine United States
Matthias L. Schroeter Germany
Mitul A. Mehta United Kingdom
Fabio Sambataro Italy
Kristen M. Kennedy United States
Philippe Fossati France
Lisa T. Eyler relative to David J. Schretlen United States David J. Schretlen's profile →
Citations per field
00.5×6.8×
David J. Schretlen · 1×
Citations per year

Countries citing papers authored by Lisa T. Eyler

Since Specialization
Citations

This map shows the geographic impact of Lisa T. Eyler'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 Lisa T. Eyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa T. Eyler more than expected).

Fields of papers citing papers by Lisa T. Eyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa T. Eyler. 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 Lisa T. Eyler. The network helps show where Lisa T. Eyler may publish in the future.

Co-authorship network of co-authors of Lisa T. Eyler

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa T. Eyler. A scholar is included among the top collaborators of Lisa T. Eyler 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 Lisa T. Eyler. Lisa T. Eyler 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 1
2 0
3 0
4 2
5 1
6 1
7 3
8 10
9 5
10 1
11 2
12 4
13 11
14 34
15 4
16 4
17 71
18 11
19 20
20 195

About Lisa T. Eyler

Lisa T. Eyler is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Cognitive Neuroscience, having authored 198 papers that have together received 7.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (73 papers), Bipolar Disorder and Treatment (53 papers) and Advanced Neuroimaging Techniques and Applications (32 papers). The work is most often cited by research in Cognitive Neuroscience (4.2k citations), Biological Psychiatry (548 citations) and Psychiatry and Mental health (2.4k citations). Lisa T. Eyler has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Dilip V. Jeste, William S. Kremen, Anders M. Dale, Carol E. Franz, Christine Fennema‐Notestine, Matthew S. Panizzon, Michael J. Lyons, Eric Courchesne, Karen Pierce and Michael C. Neale. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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