D C Brown
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- K C Gatter (8 shared papers)Kevin C. Gatter (7 shared papers)P H Maddox (2 shared papers)Jeffrey Theaker (2 shared papers)Jian Ge (2 shared papers)Lucinda J. Steward (2 shared papers)Nicholas M. Barnes (2 shared papers)David Y. Mason (2 shared papers)
- Journals
- Histopathology (7 papers)Journal of Clinical Pathology (5 papers)British Journal of Pharmacology (2 papers)Cytopathology (2 papers)British Journal of Cancer (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
D C Brown
30 papers receiving 1.8k citations
D C Brown's Hit Papers
Peers
Comparison fields: 5 of 112
- Pathology and Forensic Medicine 291
- Oncology 414
- Dermatology 102
- Genetics 115
- Cancer Research 159
Countries citing papers authored by D C Brown
This map shows the geographic impact of D C 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 D C Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D C Brown more than expected).
Fields of papers citing papers by D C Brown
This network shows the impact of papers produced by D C 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 D C Brown. The network helps show where D C Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside D C 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Monoclonal antibody Ki‐67: its use in histopathology Hit paper breakdown → | 1990 | 566 |
| 2 | 2002 | 419 | |
| 3 | 1987 | 151 | |
| 4 | 1994 | 96 | |
| 5 | 1996 | 96 | |
| 6 | 1985 | 96 | |
| 7 | 1990 | 79 | |
| 8 | Diagnosis of myelomonocytic and macrophage neoplasms in routinely processed tissue biopsies with monoclonal antibody KP1. | 1989 | 78 |
| 9 | 1996 | 54 | |
| 10 | 1988 | 52 | |
| 11 | 1978 | 46 | |
| 12 | 1992 | 29 | |
| 13 | 2008 | 25 | |
| 14 | 1993 | 24 | |
| 15 | 1987 | 22 | |
| 16 | 1975 | 21 | |
| 17 | 1990 | 20 | |
| 18 | 1988 | 15 | |
| 19 | 1999 | 8 | |
| 20 | 1989 | 8 |
About D C Brown
D C Brown is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Surgery, Pharmacology and Oncology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and Retrovirus Studies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cervical Cancer and HPV Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Pharmaceutical studies and practices (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (291 citations), Oncology (414 citations), Dermatology (102 citations), Genetics (115 citations) and Cancer Research (159 citations). D C Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include K C Gatter, Kevin C. Gatter, P H Maddox, Jeffrey Theaker, Jian Ge, Lucinda J. Steward, Nicholas M. Barnes, David Y. Mason, David Y. Mason and Peter M. Banks. Their work appears in journals such as Histopathology, Journal of Clinical Pathology, British Journal of Pharmacology, Cytopathology and British Journal of Cancer.
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.