P Sham

1.1k citations
23 papers · 831 · h-index 12

Impact in

Papers in

    • Genetic Associations and Epidemiology 9
    • Genomics and Rare Diseases 5
    • Forensic and Genetic Research 1
    • Bipolar Disorder and Treatment 3
    • Schizophrenia research and treatment 2

P Sham

21 papers receiving 767 citations

Peers

P Sham
Comparison fields: 5 of 100
  • Psychiatry and Mental health 281
  • Biological Psychiatry 30
  • Experimental and Cognitive Psychology 103
  • Genetics 182
  • Cellular and Molecular Neuroscience 118
Replace Manuel Arrojo with:
Manuel Arrojo Spain
Paolo Valsecchi Italy
Erika L. Nurmi United States
K. Meszaros Austria
A Yakir Israel
Serafino G. Mancuso Australia
Siow‐Ann Chong Singapore
Richard L. O’Reilly Canada
Javier Vázquez-Bourgón Spain
E. Lenzinger Austria
P Sham relative to Manuel Arrojo Spain Manuel Arrojo's profile →
Citations per field
00.5×1.5×2.1×
Manuel Arrojo · 1×
Citations per year

Countries citing papers authored by P Sham

Since Specialization
Citations

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

Fields of papers citing papers by P Sham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P Sham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P Sham Line = papers co-authored together P Sham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995279
2 2001102
3 200398
4 200475
5 201366
6 200742
7 199440
8 200122
9 200021
10 199720
11 200212
12 199311
13 200610
14 19969
15 19969
16 20047
17 19992
18 20002
19
Association between brain structural endophenotypes of psychotic disorders and genotypic variation
20051
20 20031

About P Sham

P Sham is a scholar working on Genetics, Psychiatry and Mental health, Molecular Biology, Experimental and Cognitive Psychology and Pathology and Forensic Medicine, having authored 23 papers that have together received 831 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers), Bipolar Disorder and Treatment (3 papers), Schizophrenia research and treatment (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Forensic and Genetic Research (1 paper), 14-3-3 protein interactions (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Psychiatry and Mental health (281 citations), Biological Psychiatry (30 citations), Experimental and Cognitive Psychology (103 citations), Genetics (182 citations) and Cellular and Molecular Neuroscience (118 citations). P Sham has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include D. Lam, Dami A. Collier, Robert Kerwin, David Ball, G.W. Roberts, Monsheel Sodhi, M.J. Arranz, Grace Wong, David Curtis and Noelle B. Smith. Their work appears in journals such as Annals of Human Genetics, Psychological Medicine, Schizophrenia Research, Psychiatric Genetics and The Lancet.

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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