Jane Brown
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
-
- Platelet Disorders and Treatments
Papers in
-
- Blood properties and coagulation 4
-
- Alzheimer's disease research and treatments 2
- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Jerome I. Rotter (2 shared papers)Craig H. Warden (2 shared papers)Richard J. Gray (2 shared papers)Peter J. Grant (4 shared papers)Kerrie A. Smith (3 shared papers)Richard J. Pease (4 shared papers)Paul A. Cordell (3 shared papers)Patricia J. Blanche (1 shared paper)
- Journals
- Blood (2 papers)Journal of Hospice and Palliative Nursing (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Journal of Investigative Dermatology (1 paper)The Lancet (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jane Brown
10 papers receiving 339 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 90
- Hematology 55
- Pulmonary and Respiratory Medicine 97
- Physiology 77
- Surgery 93
Countries citing papers authored by Jane Brown
This map shows the geographic impact of Jane Brown'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 Jane Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Brown more than expected).
Fields of papers citing papers by Jane Brown
This network shows the impact of papers produced by Jane Brown. 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 Jane Brown. The network helps show where Jane Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Multilocus genetic determinants of LDL particle size in coronary artery disease families. | 1996 | 76 |
| 2 | 1994 | 64 | |
| 3 | 2017 | 47 | |
| 4 | 2011 | 47 | |
| 5 | 2020 | 43 | |
| 6 | 2010 | 26 | |
| 7 | 2013 | 25 | |
| 8 | 2022 | 8 | |
| 9 | 2015 | 6 | |
| 10 | 2024 | 4 |
About Jane Brown
Jane Brown is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Blood properties and coagulation (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Genetic Associations and Epidemiology (2 papers), Alzheimer's disease research and treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Phagocytosis and Immune Regulation (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Systemic Sclerosis and Related Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (90 citations), Hematology (55 citations), Pulmonary and Respiratory Medicine (97 citations), Physiology (77 citations) and Surgery (93 citations). Jane Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jerome I. Rotter, Craig H. Warden, Richard J. Gray, Peter J. Grant, Kerrie A. Smith, Richard J. Pease, Paul A. Cordell, Patricia J. Blanche, Xiangdong Bu and Rita M. Cantor. Their work appears in journals such as Blood, Journal of Hospice and Palliative Nursing, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Investigative Dermatology 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.