D C Brown
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 8
- Co-authors
- K C Gatter (8 shared papers)Kevin C. Gatter (7 shared papers)O Hudlická (1 shared paper)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)
- Journals
- Histopathology (7 papers)Journal of Clinical Pathology (5 papers)British Journal of Cancer (2 papers)Cytopathology (2 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
D C Brown
30 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 550
- Pathology and Forensic Medicine 345
- Dermatology 130
- Cancer Research 205
- Genetics 142
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 | 564 |
| 2 | 2002 | 419 | |
| 3 | 1987 | 151 | |
| 4 | 1996 | 96 | |
| 5 | 1985 | 96 | |
| 6 | 1994 | 96 | |
| 7 | 1990 | 79 | |
| 8 | Diagnosis of myelomonocytic and macrophage neoplasms in routinely processed tissue biopsies with monoclonal antibody KP1. | 1989 | 78 |
| 9 | 1996 | 73 | |
| 10 | 1996 | 54 | |
| 11 | 1988 | 52 | |
| 12 | 1978 | 46 | |
| 13 | 1992 | 29 | |
| 14 | 1993 | 24 | |
| 15 | 1987 | 21 | |
| 16 | 1975 | 21 | |
| 17 | 1990 | 20 | |
| 18 | 1988 | 14 | |
| 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 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Sarcoma Diagnosis and Treatment (3 papers), T-cell and Retrovirus Studies (3 papers), Viral-associated cancers and disorders (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Oncology (550 citations), Pathology and Forensic Medicine (345 citations), Dermatology (130 citations), Cancer Research (205 citations) and Genetics (142 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, O Hudlická, P H Maddox, Jeffrey Theaker, Jian Ge, Lucinda J. Steward, Nicholas M. Barnes, David Y. Mason and David Y. Mason. Their work appears in journals such as Histopathology, Journal of Clinical Pathology, British Journal of Cancer, Cytopathology and British Journal of Pharmacology.
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.