L. Pepplinkhuizen

96 total papers · 1.7k total citations
65 papers, 1.3k citations indexed

About

L. Pepplinkhuizen is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, L. Pepplinkhuizen has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 12 papers in Experimental and Cognitive Psychology and 10 papers in Molecular Biology. Recurrent topics in L. Pepplinkhuizen's work include Amino Acid Enzymes and Metabolism (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Bipolar Disorder and Treatment (8 papers). L. Pepplinkhuizen is often cited by papers focused on Amino Acid Enzymes and Metabolism (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Bipolar Disorder and Treatment (8 papers). L. Pepplinkhuizen collaborates with scholars based in Netherlands, Australia and New Zealand. L. Pepplinkhuizen's co-authors include Durk Fekkes, Walter W. van den Broek, J.H.M. Tulen, Rose C. van der Mast, P. Moleman, J. Bruinvels, Jan A. Bruijn, J. Dik F. Habbema, Rocco Hoekstra and Paul Mulder and has published in prestigious journals such as The Lancet, American Journal of Psychiatry and Biological Psychiatry.

In The Last Decade

L. Pepplinkhuizen

60 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L. Pepplinkhuizen 309 232 195 164 158 65 1.3k
Padideh Ghaeli 418 1.4× 78 0.3× 74 0.4× 143 0.9× 131 0.8× 77 1.2k
Xiaodong Luo 304 1.0× 119 0.5× 251 1.3× 46 0.3× 205 1.3× 43 1.2k
Luca Cravello 425 1.4× 143 0.6× 52 0.3× 160 1.0× 126 0.8× 45 1.8k
P. Moleman 458 1.5× 275 1.2× 64 0.3× 120 0.7× 313 2.0× 68 1.8k
Jun Ishigooka 749 2.4× 152 0.7× 68 0.3× 162 1.0× 241 1.5× 123 1.6k
Chun-Hsin Chen 421 1.4× 44 0.2× 159 0.8× 209 1.3× 257 1.6× 53 1.2k
R. Amrein 594 1.9× 77 0.3× 100 0.5× 76 0.5× 143 0.9× 51 1.7k
Melanie Dani 252 0.8× 226 1.0× 161 0.8× 89 0.5× 175 1.1× 46 1.4k
Ta‐Chuan Yeh 388 1.3× 80 0.3× 96 0.5× 59 0.4× 66 0.4× 73 1.2k
Diego Quattrone 409 1.3× 187 0.8× 152 0.8× 40 0.2× 53 0.3× 53 1.2k

Countries citing papers authored by L. Pepplinkhuizen

Since Specialization
Citations

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

Fields of papers citing papers by L. Pepplinkhuizen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Pepplinkhuizen

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

All Works

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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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