M. Trixler
Impact in
- Biological Psychiatry top 5%
- Psychiatry and Mental health top 2%
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
Papers in
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- Schizophrenia research and treatment 6
- Bipolar Disorder and Treatment 3
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- Body Image and Dysmorphia Studies 4
- Co-authors
- Tamás Tényi (22 shared papers)Dieter B. Wildenauer (16 shared papers)Margot Albus (12 shared papers)Bernard Lerer (11 shared papers)Joachim Hallmayer (9 shared papers)Sibylle G. Schwab (9 shared papers)Marcella Rietschel (7 shared papers)R. Herold (4 shared papers)
In The Last Decade
M. Trixler
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Biological Psychiatry 102
- Psychiatry and Mental health 411
- Genetics 721
- Cellular and Molecular Neuroscience 286
- Cognitive Neuroscience 243
Countries citing papers authored by M. Trixler
This map shows the geographic impact of M. Trixler'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 M. Trixler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Trixler more than expected).
Fields of papers citing papers by M. Trixler
This network shows the impact of papers produced by M. Trixler. 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 M. Trixler. The network helps show where M. Trixler may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Trixler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 302 | |
| 2 | 2000 | 137 | |
| 3 | 2000 | 136 | |
| 4 | 2002 | 133 | |
| 5 | 2005 | 128 | |
| 6 | 1998 | 126 | |
| 7 | Further evidence for a susceptibility locus on chromosome 10p14-p11 in 72 families with schizophrenia by nonparametric linkage analysis. | 1998 | 92 |
| 8 | 1998 | 84 | |
| 9 | 2000 | 82 | |
| 10 | 2002 | 78 | |
| 11 | 2001 | 66 | |
| 12 | 1997 | 55 | |
| 13 | 1999 | 47 | |
| 14 | 2003 | 44 | |
| 15 | 2002 | 43 | |
| 16 | 2005 | 36 | |
| 17 | 2008 | 30 | |
| 18 | 2008 | 24 | |
| 19 | 2002 | 22 | |
| 20 | 1997 | 21 |
About M. Trixler
M. Trixler is a scholar working on Psychiatry and Mental health, Clinical Psychology, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Maternal Mental Health During Pregnancy and Postpartum (6 papers), Schizophrenia research and treatment (6 papers), Genomic variations and chromosomal abnormalities (5 papers), Mental Health and Psychiatry (5 papers), Body Image and Dysmorphia Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Bipolar Disorder and Treatment (3 papers). The work is most often cited by research in Biological Psychiatry (102 citations), Psychiatry and Mental health (411 citations), Genetics (721 citations), Cellular and Molecular Neuroscience (286 citations) and Cognitive Neuroscience (243 citations). M. Trixler has collaborated with scholars based in Hungary, Germany and Israel. Frequent co-authors include Tamás Tényi, Dieter B. Wildenauer, Margot Albus, Bernard Lerer, Joachim Hallmayer, Sibylle G. Schwab, Marcella Rietschel, R. Herold, Györgyi Csábí and Michael Knapp. Their work appears in journals such as Psychopathology, The American Journal of Human Genetics, Psychiatric Genetics, Schizophrenia Research and Pediatric Drugs.
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.