NEIL J. RISCH
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Forensic and Genetic Research
- Race, Genetics, and Society
- Psychiatry and Mental health top 0.2%
- Schizophrenia research and treatment
Papers in
- Genetics 194
- Genetic Associations and Epidemiology 130
- Forensic and Genetic Research 36
- Genomics and Rare Diseases 14
- Race, Genetics, and Society 14
- BRCA gene mutations in cancer 12
-
- Bipolar Disorder and Treatment 14
- Co-authors
- Kathleen Ries Merikangas (13 shared papers)W. Douglas Thompson (11 shared papers)Elizabeth B. Claus (10 shared papers)Bernie Devlin (16 shared papers)David Botstein (5 shared papers)Hua Tang (28 shared papers)George C. Ebers (16 shared papers)Adele Dessa Sadovnick (15 shared papers)
- Journals
- The American Journal of Human Genetics (28 papers)Nature Genetics (27 papers)Science (18 papers)Genetic Epidemiology (18 papers)Neurology (12 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
NEIL J. RISCH
358 papers receiving 50.7k citations
NEIL J. RISCH's Hit Papers
Peers
Comparison fields: 5 of 202
- Genetics 21.2k
- Psychiatry and Mental health 5.4k
- Neurology 3.7k
- Pathology and Forensic Medicine 3.4k
- Hematology 2.6k
Countries citing papers authored by NEIL J. RISCH
This map shows the geographic impact of NEIL J. RISCH'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 NEIL J. RISCH with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NEIL J. RISCH more than expected).
Fields of papers citing papers by NEIL J. RISCH
This network shows the impact of papers produced by NEIL J. RISCH. 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 NEIL J. RISCH. The network helps show where NEIL J. RISCH may publish in the future.
Co-authors
The 25 scholars most cited alongside NEIL J. RISCH, 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 366 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Future of Genetic Studies of Complex Human Diseases Hit paper breakdown → | 1996 | 4234 |
| 2 | A novel MHC class I–like gene is mutated in patients with hereditary haemochromatosis Hit paper breakdown → | 1996 | 3106 |
| 3 | Protective effect of apolipoprotein E type 2 allele for late onset Alzheimer disease Hit paper breakdown → | 1994 | 1596 |
| 4 | Searching for genetic determinants in the new millennium Hit paper breakdown → | 2000 | 1456 |
| 5 | Interaction Between the Serotonin Transporter Gene (5-HTTLPR), Stressful Life Events, and Risk of Depression Hit paper breakdown → | 2009 | 1331 |
| 6 | Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease Hit paper breakdown → | 2003 | 1153 |
| 7 | Linkage strategies for genetically complex traits. I. Multilocus models. Hit paper breakdown → | 1990 | 1121 |
| 8 | Genetic Susceptibility to Death from Coronary Heart Disease in a Study of Twins Hit paper breakdown → | 1994 | 1008 |
| 9 | The Importance of Race and Ethnic Background in Biomedical Research and Clinical Practice Hit paper breakdown → | 2003 | 887 |
| 10 | A Comparison of Linkage Disequilibrium Measures for Fine-Scale Mapping Hit paper breakdown → | 1995 | 877 |
| 11 | The early-onset torsion dystonia gene (DYT1) encodes an ATP-binding protein Hit paper breakdown → | 1997 | 855 |
| 12 | Candidate-gene approaches for studying complex genetic traits: practical considerations Hit paper breakdown → | 2002 | 792 |
| 13 | Autosomal dominant inheritance of early-onset breast cancer. Implications for risk prediction Hit paper breakdown → | 1994 | 777 |
| 14 | Genetic analysis of breast cancer in the cancer and steroid hormone study. Hit paper breakdown → | 1991 | 776 |
| 15 | Positional Cloning of the Human Quantitative Trait Locus Underlying Taste Sensitivity to Phenylthiocarbamide Hit paper breakdown → | 2003 | 750 |
| 16 | Linkage strategies for genetically complex traits. II. The power of affected relative pairs. Hit paper breakdown → | 1990 | 742 |
| 17 | 1988 | 618 | |
| 18 | 1996 | 607 | |
| 19 | 2002 | 599 | |
| 20 | 2002 | 597 |
About NEIL J. RISCH
NEIL J. RISCH is a scholar working on Genetics, Psychiatry and Mental health, Neurology, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 366 papers that have together received 53.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (130 papers), Forensic and Genetic Research (36 papers), Neurological disorders and treatments (30 papers), Multiple Sclerosis Research Studies (19 papers), Genomics and Rare Diseases (14 papers), Race, Genetics, and Society (14 papers), Bipolar Disorder and Treatment (14 papers) and BRCA gene mutations in cancer (12 papers). The work is most often cited by research in Genetics (21.2k citations), Psychiatry and Mental health (5.4k citations), Neurology (3.7k citations), Pathology and Forensic Medicine (3.4k citations) and Hematology (2.6k citations). NEIL J. RISCH has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kathleen Ries Merikangas, W. Douglas Thompson, Elizabeth B. Claus, Bernie Devlin, David Botstein, Hua Tang, George C. Ebers, Adele Dessa Sadovnick, Richard M. Myers and Susan Bressman. Their work appears in journals such as The American Journal of Human Genetics, Nature Genetics, Science, Genetic Epidemiology and Neurology.
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.