Robin Brown
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- interferon and immune responses
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
-
- Cell death mechanisms and regulation 5
- RNA Interference and Gene Delivery 3
- Fungal and yeast genetics research 2
- Epigenetics and DNA Methylation 2
-
- COVID-19 and Mental Health 3
- Co-authors
- Stuart Farrow (3 shared papers)Kwok‐Tao Pun (3 shared papers)Thomas Raven (3 shared papers)Jean‐Claude Martinou (1 shared paper)Julia H. White (1 shared paper)Isabelle Martinou (1 shared paper)Yingping Jiang (1 shared paper)David V. Goeddel (1 shared paper)
- Journals
- Applied Nursing Research (2 papers)Nature (2 papers)Cell Death and Differentiation (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robin Brown
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 130
- Immunology 364
- Cancer Research 187
- Molecular Biology 877
- Oncology 275
- Modeling and Simulation 41
Countries citing papers authored by Robin Brown
This map shows the geographic impact of Robin 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 Robin Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Brown more than expected).
Fields of papers citing papers by Robin Brown
This network shows the impact of papers produced by Robin 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 Robin Brown. The network helps show where Robin Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 457 | |
| 2 | 1996 | 305 | |
| 3 | 1996 | 231 | |
| 4 | 2020 | 99 | |
| 5 | 1999 | 89 | |
| 6 | 2018 | 85 | |
| 7 | 1997 | 64 | |
| 8 | 1999 | 42 | |
| 9 | 2021 | 36 | |
| 10 | 1997 | 33 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2000 | 4 | |
| 16 | 2001 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2001 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Robin Brown
Robin Brown is a scholar working on Molecular Biology, Clinical Psychology, General Health Professions, Oncology and Cancer Research, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related Molecular Pathways (3 papers), COVID-19 and Mental Health (3 papers), Fungal and yeast genetics research (2 papers), Epigenetics and DNA Methylation (2 papers), NF-κB Signaling Pathways (2 papers) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Immunology (364 citations), Cancer Research (187 citations), Molecular Biology (877 citations), Oncology (275 citations) and Modeling and Simulation (41 citations). Robin Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Stuart Farrow, Kwok‐Tao Pun, Thomas Raven, Jean‐Claude Martinou, Julia H. White, Isabelle Martinou, Yingping Jiang, David V. Goeddel, Jeremy Kitson and Howard Wey. Their work appears in journals such as Applied Nursing Research, Nature, Cell Death and Differentiation, MMWR Morbidity and Mortality Weekly Report and Blood.
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.