Lee D. Mulligan

31 total papers · 675 total citations
23 papers, 479 citations indexed

About

Lee D. Mulligan is a scholar working on Clinical Psychology, Psychiatry and Mental health and Social Psychology. According to data from OpenAlex, Lee D. Mulligan has authored 23 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 9 papers in Psychiatry and Mental health and 6 papers in Social Psychology. Recurrent topics in Lee D. Mulligan's work include Schizophrenia research and treatment (7 papers), Healthcare Decision-Making and Restraints (5 papers) and Psychiatric care and mental health services (4 papers). Lee D. Mulligan is often cited by papers focused on Schizophrenia research and treatment (7 papers), Healthcare Decision-Making and Restraints (5 papers) and Psychiatric care and mental health services (4 papers). Lee D. Mulligan collaborates with scholars based in United Kingdom, United States and Czechia. Lee D. Mulligan's co-authors include Gillian Haddock, Simon D. Kyle, Anthony P. Morrison, Graham Dunn, Alison R. Yung, Steven Jones, Sandra T. Neil, Richard Emsley, Lynsey Gregg and Lesley‐Anne Carter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Abnormal Psychology and The British Journal of Psychiatry.

In The Last Decade

Lee D. Mulligan

19 papers receiving 473 citations

Author Peers

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

Author Last Decade Papers Cites
Lee D. Mulligan 266 250 156 152 68 23 479
Teruaki Tanaka 229 0.9× 93 0.4× 157 1.0× 69 0.5× 22 0.3× 30 488
Jannicke Fjæra Laskemoen 180 0.7× 105 0.4× 138 0.9× 58 0.4× 20 0.3× 14 410
K. Busby 123 0.5× 189 0.8× 71 0.5× 266 1.8× 22 0.3× 22 465
Katie Lewis 142 0.5× 134 0.5× 168 1.1× 70 0.5× 18 0.3× 24 429
Niklas Granö 172 0.6× 137 0.5× 213 1.4× 96 0.6× 15 0.2× 32 450
László Mayer 71 0.3× 190 0.8× 151 1.0× 112 0.7× 16 0.2× 20 439
Mariely Hernández 191 0.7× 97 0.4× 230 1.5× 59 0.4× 49 0.7× 17 452
Brioney Gee 92 0.3× 167 0.7× 254 1.6× 80 0.5× 38 0.6× 30 483
Argelinda Baroni 265 1.0× 103 0.4× 190 1.2× 127 0.8× 41 0.6× 41 468
Vanessa Milhiet 246 0.9× 172 0.7× 71 0.5× 65 0.4× 29 0.4× 14 451

Countries citing papers authored by Lee D. Mulligan

Since Specialization
Citations

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

Fields of papers citing papers by Lee D. Mulligan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee D. Mulligan. 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 Lee D. Mulligan. The network helps show where Lee D. Mulligan may publish in the future.

Co-authorship network of co-authors of Lee D. Mulligan

This figure shows the co-authorship network connecting the top 25 collaborators of Lee D. Mulligan. A scholar is included among the top collaborators of Lee D. Mulligan 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 Lee D. Mulligan. Lee D. Mulligan 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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