Oliver Pain

135 total papers · 1.6k total citations
40 papers, 740 citations indexed

About

Oliver Pain is a scholar working on Genetics, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Oliver Pain has authored 40 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 16 papers in Molecular Biology and 7 papers in Biological Psychiatry. Recurrent topics in Oliver Pain's work include Genetic Associations and Epidemiology (17 papers), Tryptophan and brain disorders (7 papers) and Stress Responses and Cortisol (5 papers). Oliver Pain is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Tryptophan and brain disorders (7 papers) and Stress Responses and Cortisol (5 papers). Oliver Pain collaborates with scholars based in United Kingdom, United States and Italy. Oliver Pain's co-authors include Cathryn M. Lewis, Angelica Ronald, Lasse Folkersen, Frank Dudbridge, Saskia P. Hagenaars, Karim Malki, Maria Grazia Tosto, Leonard C. Schalkwyk, Ebba Du Rietz and Jehannine Austin and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Oliver Pain

36 papers receiving 734 citations

Author Peers

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

Author Last Decade Papers Cites
Oliver Pain 347 233 133 94 82 40 740
Vihra Milanova 233 0.7× 211 0.9× 307 2.3× 124 1.3× 106 1.3× 28 817
Franziska Degenhardt 289 0.8× 318 1.4× 151 1.1× 78 0.8× 148 1.8× 58 829
Anna Scimone 260 0.7× 270 1.2× 190 1.4× 93 1.0× 108 1.3× 16 860
J. Scott Stiffler 294 0.8× 235 1.0× 206 1.5× 86 0.9× 63 0.8× 22 810
Lorna M. Lopez 340 1.0× 275 1.2× 86 0.6× 110 1.2× 77 0.9× 33 877
Jianzhong Yang 228 0.7× 268 1.2× 114 0.9× 65 0.7× 114 1.4× 50 763
Yaira Z. Nuñez 203 0.6× 174 0.7× 76 0.6× 81 0.9× 42 0.5× 21 659
Nick Craddock 282 0.8× 148 0.6× 260 2.0× 58 0.6× 69 0.8× 15 724
Raymond Crowe 183 0.5× 227 1.0× 129 1.0× 48 0.5× 72 0.9× 20 898
Yan Xia 199 0.6× 309 1.3× 106 0.8× 200 2.1× 46 0.6× 47 809

Countries citing papers authored by Oliver Pain

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Pain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Pain

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Pain. A scholar is included among the top collaborators of Oliver Pain 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 Oliver Pain. Oliver Pain 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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