Geoff Hall
Impact in
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
- Oncology top 5%
- PARP inhibition in cancer therapy
- CAR-T cell therapy research
Papers in
- Oncology 20
- PARP inhibition in cancer therapy 8
-
- Ovarian cancer diagnosis and treatment 20
- Co-authors
- Owen Johnson (7 shared papers)David Hogg (4 shared papers)Angelina Prima Kurniati (4 shared papers)Timothy Perren (10 shared papers)Lucy Ziegler (2 shared papers)Alan Melcher (3 shared papers)Richard G. Vile (3 shared papers)Kevin J. Harrington (3 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Annals of Oncology (7 papers)British Journal of Cancer (7 papers)BMJ Open (4 papers)International Journal of Gynecological Cancer (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Geoff Hall
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Reproductive Medicine 220
- Oncology 508
- Management Information Systems 110
- Genetics 291
- Health Informatics 13
Countries citing papers authored by Geoff Hall
This map shows the geographic impact of Geoff Hall'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 Geoff Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Hall more than expected).
Fields of papers citing papers by Geoff Hall
This network shows the impact of papers produced by Geoff Hall. 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 Geoff Hall. The network helps show where Geoff Hall may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoff Hall, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 154 | |
| 2 | 2016 | 127 | |
| 3 | 2014 | 85 | |
| 4 | 2018 | 82 | |
| 5 | 2017 | 82 | |
| 6 | 2010 | 68 | |
| 7 | 2011 | 65 | |
| 8 | 2017 | 65 | |
| 9 | 2014 | 64 | |
| 10 | 2004 | 59 | |
| 11 | 2016 | 52 | |
| 12 | 2008 | 46 | |
| 13 | 2015 | 40 | |
| 14 | 2023 | 36 | |
| 15 | 2018 | 33 | |
| 16 | 2009 | 28 | |
| 17 | 2010 | 27 | |
| 18 | 2003 | 26 | |
| 19 | 2011 | 25 | |
| 20 | 2018 | 25 |
About Geoff Hall
Geoff Hall is a scholar working on Oncology, Reproductive Medicine, Genetics, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (20 papers), PARP inhibition in cancer therapy (8 papers), Lung Cancer Treatments and Mutations (6 papers), BRCA gene mutations in cancer (5 papers), Business Process Modeling and Analysis (4 papers), Virus-based gene therapy research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (220 citations), Oncology (508 citations), Management Information Systems (110 citations), Genetics (291 citations) and Health Informatics (13 citations). Geoff Hall has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Owen Johnson, David Hogg, Angelina Prima Kurniati, Timothy Perren, Lucy Ziegler, Alan Melcher, Richard G. Vile, Kevin J. Harrington, Peter J. Selby and John Chester. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, British Journal of Cancer, BMJ Open and International Journal of Gynecological 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.