Richard W. Brown
- Oncology top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Cancer Research top 2%
- Surgery top 5%
- Co-authors
- Gary M. ClarkMamoun YounesPhilip T. CagleMargaret GondoMark A. StephensonGary C. ChamnessD. Craig AllredRichard Elledge
- Topics
- Clinical Laboratory Practices and Quality Control (9 papers)Breast Cancer Treatment Studies (7 papers)Milk Quality and Mastitis in Dairy Cows (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Richard W. Brown
96 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Oncology 1.3k
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 1.0k
- Cancer Research 963
- Surgery 628
Countries citing papers authored by Richard W. Brown
This map shows the geographic impact of Richard W. 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 Richard W. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard W. Brown more than expected).
Fields of papers citing papers by Richard W. Brown
This network shows the impact of papers produced by Richard W. 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 Richard W. Brown. The network helps show where Richard W. Brown may publish in the future.
Co-authorship network of co-authors of Richard W. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Richard W. Brown. A scholar is included among the top collaborators of Richard W. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard W. Brown. Richard W. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 77 | |
| 6 | 53 | |
| 7 | 127 | |
| 8 | 333 | |
| 9 | 45 | |
| 10 | 45 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 33 | |
| 14 | 37 | |
| 15 | Association of p53 Protein Expression With Tumor Cell Proliferation Rate and Clinical Outcome in Node-Negative Breast Cancerbreakdown → | 683 |
| 16 | Animals : tracks, trails & signs | 7 |
| 17 | 25 | |
| 18 | 82 | |
| 19 | 10 | |
| 20 | 0 |
About Richard W. Brown
Richard W. Brown is a scholar working on Transplantation, Cancer Research and Oncology, having authored 103 papers that have together received 4.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Breast Cancer Treatment Studies (7 papers) and Milk Quality and Mastitis in Dairy Cows (7 papers). The work is most often cited by research in Cancer Research (963 citations), Oncology (1.3k citations) and Pulmonary and Respiratory Medicine (1.0k citations). Richard W. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gary M. Clark, Mamoun Younes, Philip T. Cagle, Margaret Gondo, Mark A. Stephenson, Gary C. Chamness, D. Craig Allred, Richard Elledge, William McGuire and Suzanne A.W. Fuqua. Their work appears in journals such as Science, Circulation and JNCI Journal of the National Cancer Institute.
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.