Geoff D. Hall
Impact in
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
- Oncology top 5%
- COVID-19 and healthcare impacts
- PARP inhibition in cancer therapy
Papers in
-
- Ovarian cancer diagnosis and treatment 16
- Oncology 11
- PARP inhibition in cancer therapy 6
- Co-authors
- Owen Ashby Johnson (10 shared papers)Angelina Prima Kurniati (7 shared papers)David Hogg (7 shared papers)Timothy John Perren (9 shared papers)Peter John Selby (5 shared papers)Alan A. Melcher (3 shared papers)Richard G. Vile (3 shared papers)Kevin Joseph Harrington (3 shared papers)
- Journals
- Annals of Oncology (8 papers)British Journal of Cancer (7 papers)BMJ Open (5 papers)ESMO Open (2 papers)Radiotherapy and Oncology (2 papers)
- Partner nations
- United KingdomUnited StatesIndonesia
In The Last Decade
Geoff D. Hall
79 papers receiving 2.5k citations
Geoff D. Hall's Hit Papers
Peers
Comparison fields: 5 of 85
- Reproductive Medicine 412
- Oncology 439
- Management Information Systems 157
- Genetics 233
- Cancer Research 93
Countries citing papers authored by Geoff D. Hall
This map shows the geographic impact of Geoff D. 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 D. 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 D. Hall more than expected).
Fields of papers citing papers by Geoff D. Hall
This network shows the impact of papers produced by Geoff D. 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 D. Hall. The network helps show where Geoff D. Hall may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoff D. 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 335 | |
| 2 | Copy number signatures and mutational processes in ovarian carcinoma Hit paper breakdown → | 2018 | 321 |
| 3 | 2012 | 167 | |
| 4 | 2016 | 140 | |
| 5 | 2014 | 96 | |
| 6 | 2017 | 93 | |
| 7 | 2018 | 85 | |
| 8 | 2017 | 84 | |
| 9 | 2010 | 76 | |
| 10 | 2019 | 75 | |
| 11 | 2014 | 72 | |
| 12 | 2011 | 66 | |
| 13 | 2004 | 64 | |
| 14 | 2016 | 64 | |
| 15 | 2017 | 54 | |
| 16 | 2008 | 47 | |
| 17 | 2023 | 47 | |
| 18 | 2018 | 46 | |
| 19 | 2015 | 44 | |
| 20 | 2023 | 38 |
About Geoff D. Hall
Geoff D. Hall is a scholar working on Reproductive Medicine, Oncology, Management Information Systems, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), Business Process Modeling and Analysis (7 papers), PARP inhibition in cancer therapy (6 papers), AI in cancer detection (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Virus-based gene therapy research (3 papers), Advances in Oncology and Radiotherapy (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Reproductive Medicine (412 citations), Oncology (439 citations), Management Information Systems (157 citations), Genetics (233 citations) and Cancer Research (93 citations). Geoff D. Hall has collaborated with scholars based in United Kingdom, United States and Indonesia. Frequent co-authors include Owen Ashby Johnson, Angelina Prima Kurniati, David Hogg, Timothy John Perren, Peter John Selby, Alan A. Melcher, Richard G. Vile, Kevin Joseph Harrington, Lucy E Ziegler and John David Chester. Their work appears in journals such as Annals of Oncology, British Journal of Cancer, BMJ Open, ESMO Open and Radiotherapy and Oncology.
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.