Carol Guy
Impact in
- Psychiatry and Mental health top 10%
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Schizophrenia research and treatment 3
- Bipolar Disorder and Treatment 3
-
- Acute Myeloid Leukemia Research 5
- Co-authors
- Michael C. O’Donovan (16 shared papers)Bastiaan Hoogendoorn (7 shared papers)Paul R. Buckland (8 shared papers)Sharon L. Coleman (7 shared papers)S. Kaye Smith (6 shared papers)Peter McGuffin (3 shared papers)Graham Speight (2 shared papers)Meena Upadhyaya (1 shared paper)
- Journals
- Blood (3 papers)Biological Psychiatry (2 papers)Human Mutation (2 papers)The Lancet (1 paper)Gene Expression (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Carol Guy
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 52
- Psychiatry and Mental health 149
- Hematology 79
- Genetics 142
- Cell Biology 47
- Pharmacology 31
Countries citing papers authored by Carol Guy
This map shows the geographic impact of Carol Guy'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 Carol Guy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Guy more than expected).
Fields of papers citing papers by Carol Guy
This network shows the impact of papers produced by Carol Guy. 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 Carol Guy. The network helps show where Carol Guy may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol Guy, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 284 | |
| 2 | 2009 | 100 | |
| 3 | 2005 | 91 | |
| 4 | 2005 | 63 | |
| 5 | 2004 | 60 | |
| 6 | 2005 | 55 | |
| 7 | 2000 | 46 | |
| 8 | 1999 | 44 | |
| 9 | 2004 | 42 | |
| 10 | 2011 | 42 | |
| 11 | 2003 | 41 | |
| 12 | 2003 | 36 | |
| 13 | 2004 | 32 | |
| 14 | 2003 | 21 | |
| 15 | 1997 | 20 | |
| 16 | 1997 | 19 | |
| 17 | 1999 | 16 | |
| 18 | 1996 | 11 | |
| 19 | 2005 | 7 | |
| 20 | 2025 | 7 |
About Carol Guy
Carol Guy is a scholar working on Psychiatry and Mental health, Hematology, Cellular and Molecular Neuroscience, Genetics and Cell Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Schizophrenia research and treatment (3 papers), Bipolar Disorder and Treatment (3 papers), Genetic Neurodegenerative Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Tuberous Sclerosis Complex Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Psychiatry and Mental health (149 citations), Hematology (79 citations), Genetics (142 citations), Cell Biology (47 citations) and Pharmacology (31 citations). Carol Guy has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael C. O’Donovan, Bastiaan Hoogendoorn, Paul R. Buckland, Sharon L. Coleman, S. Kaye Smith, Peter McGuffin, Graham Speight, Meena Upadhyaya, Jehannine Austin and Stacy C. Roberts. Their work appears in journals such as Blood, Biological Psychiatry, Human Mutation, The Lancet and Gene Expression.
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.