T.G. van Erp

1.7k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

T.G. van Erp is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, T.G. van Erp has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Molecular Biology. Recurrent topics in T.G. van Erp's work include Functional Brain Connectivity Studies (3 papers), Neural dynamics and brain function (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). T.G. van Erp is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Neural dynamics and brain function (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). T.G. van Erp collaborates with scholars based in United States, Finland and Netherlands. T.G. van Erp's co-authors include Steven G. Potkin, Vince D. Calhoun, Adrian Preda, Bryon A. Mueller, Ayşenil Belger, Daniel H. Mathalon, Eswar Damaraju, Godfrey D. Pearlson, Jessica A. Turner and Judith M. Ford and has published in prestigious journals such as Biological Psychiatry, Molecular Psychiatry and Schizophrenia Research.

In The Last Decade

T.G. van Erp

8 papers receiving 1.1k citations

Hit Papers

Dynamic functional connectivity analysis reveals transien... 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T.G. van Erp United States 7 836 429 177 163 132 8 1.1k
František Váša United Kingdom 13 993 1.2× 522 1.2× 177 1.0× 171 1.0× 105 0.8× 24 1.3k
Murat Demirtaş United States 7 797 1.0× 311 0.7× 132 0.7× 86 0.5× 51 0.4× 7 912
Ottavia Dipasquale United Kingdom 20 561 0.7× 231 0.5× 112 0.6× 80 0.5× 151 1.1× 55 979
Ibai Díez United States 22 754 0.9× 225 0.5× 171 1.0× 186 1.1× 355 2.7× 81 1.3k
Yuqi Cheng China 18 368 0.4× 194 0.5× 133 0.8× 73 0.4× 97 0.7× 51 773
Barnaly Rashid United States 13 941 1.1× 409 1.0× 262 1.5× 43 0.3× 153 1.2× 26 1.1k
Zhijiang Wang China 14 338 0.4× 170 0.4× 69 0.4× 160 1.0× 91 0.7× 29 839
Junjie Zheng China 13 584 0.7× 274 0.6× 141 0.8× 103 0.6× 165 1.3× 61 832
Xijia Xu China 13 492 0.6× 254 0.6× 121 0.7× 46 0.3× 98 0.7× 41 655
Laura E. Suárez Canada 6 853 1.0× 402 0.9× 84 0.5× 55 0.3× 56 0.4× 8 1.0k

Countries citing papers authored by T.G. van Erp

Since Specialization
Citations

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

Fields of papers citing papers by T.G. van Erp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.G. van Erp. 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 T.G. van Erp. The network helps show where T.G. van Erp may publish in the future.

Co-authorship network of co-authors of T.G. van Erp

This figure shows the co-authorship network connecting the top 25 collaborators of T.G. van Erp. A scholar is included among the top collaborators of T.G. van Erp 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 T.G. van Erp. T.G. van Erp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Belger, Ayşenil, Juan Bustillo, Ashkan Faghiri, et al.. (2023). A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data. Journal of Neuroscience Methods. 389. 109794–109794. 11 indexed citations
2.
Erp, T.G. van, et al.. (2020). Effect of brexpiprazole on control of impulsivity in schizophrenia: A randomized functional magnetic resonance imaging study. Psychiatry Research Neuroimaging. 301. 111085–111085. 11 indexed citations
3.
Damaraju, Eswar, Elena A. Allen, Ayşenil Belger, et al.. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage Clinical. 5. 298–308. 802 indexed citations breakdown →
4.
Orešič, Matej, Tuulikki Seppänen‐Laakso, Daqiang Sun, et al.. (2012). Phospholipids and insulin resistance in psychosis: A lipidomics study of twin pairs discordant for schizophrenia. eScholarship (California Digital Library). 140 indexed citations
5.
Haren, Neeltje E.M. van, Frühling Rijsdijk, Hugo G. Schnack, et al.. (2012). The Genetic and Environmental Determinants of the Association Between Brain Abnormalities and Schizophrenia: The Schizophrenia Twins and Relatives Consortium. Biological Psychiatry. 71(10). 915–921. 46 indexed citations
6.
Orešič, Matej, Tuulikki Seppänen‐Laakso, Daqiang Sun, et al.. (2012). Phospholipids and insulin resistance in psychosis: a lipidomics study of twin pairs discordant for schizophrenia. Genome Medicine. 4(1). 1–1. 3 indexed citations
7.
Lutkenhoff, Evan S., T.G. van Erp, M. Albert Thomas, et al.. (2008). Proton MRS in twin pairs discordant for schizophrenia. Molecular Psychiatry. 15(3). 308–318. 102 indexed citations
8.
Erp, T.G. van, Matti Huttunen, Jouko Lönnqvist, et al.. (2003). Hippocampal volumes in schizophrenic twins. Schizophrenia Research. 60(1). 210–210. 6 indexed citations

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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