Lisa Browning
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Renal cell carcinoma treatment
- Sarcoma Diagnosis and Treatment
Papers in
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- Renal cell carcinoma treatment 5
- Prostate Cancer Diagnosis and Treatment 4
- Prostate Cancer Treatment and Research 4
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- Renal and related cancers 5
- DNA Repair Mechanisms 3
- Co-authors
- Clare Verrill (26 shared papers)Richard Colling (15 shared papers)Jens Rittscher (10 shared papers)Philip S. Macklin (5 shared papers)Emad A. Rakha (3 shared papers)Ian S D Roberts (4 shared papers)Korsuk Sirinukunwattana (4 shared papers)Olaf Ansorge (2 shared papers)
- Journals
- Journal of Clinical Pathology (7 papers)The Journal of Pathology Clinical Research (2 papers)Cell Reports (2 papers)Histopathology (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Lisa Browning
38 papers receiving 580 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 42
- Pulmonary and Respiratory Medicine 159
- Radiology, Nuclear Medicine and Imaging 105
- Artificial Intelligence 156
- Cancer Research 62
Countries citing papers authored by Lisa Browning
This map shows the geographic impact of Lisa Browning'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 Lisa Browning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Browning more than expected).
Fields of papers citing papers by Lisa Browning
This network shows the impact of papers produced by Lisa Browning. 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 Lisa Browning. The network helps show where Lisa Browning may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Browning, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2018 | 49 | |
| 3 | 2022 | 45 | |
| 4 | 2012 | 45 | |
| 5 | 2020 | 33 | |
| 6 | 2016 | 31 | |
| 7 | 2021 | 27 | |
| 8 | 2008 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2007 | 18 | |
| 15 | 2019 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2018 | 10 |
About Lisa Browning
Lisa Browning is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Artificial Intelligence, Surgery and Cancer Research, having authored 42 papers that have together received 596 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Renal cell carcinoma treatment (5 papers), Renal and related cancers (5 papers), Bladder and Urothelial Cancer Treatments (5 papers), Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Health Informatics (42 citations), Pulmonary and Respiratory Medicine (159 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Artificial Intelligence (156 citations) and Cancer Research (62 citations). Lisa Browning has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Clare Verrill, Richard Colling, Jens Rittscher, Philip S. Macklin, Emad A. Rakha, Ian S D Roberts, Korsuk Sirinukunwattana, Olaf Ansorge, Nasullah Khalid Alham and Kieron White. Their work appears in journals such as Journal of Clinical Pathology, The Journal of Pathology Clinical Research, Cell Reports, Histopathology and Scientific Reports.
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.