Philip Badman
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- Cancer Risks and Factors 1
-
- Ovarian cancer diagnosis and treatment 4
- Co-authors
- James Mackay (5 shared papers)Usha Menon (5 shared papers)Ian Jacobs (5 shared papers)Ranjit Manchanda (5 shared papers)Steven J. Skates (5 shared papers)Lindsay Fraser (5 shared papers)D. Gareth Evans (5 shared papers)Susan Philpott (4 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Obstetrical & Gynecological Survey (1 paper)Breast Cancer Research and Treatment (1 paper)The Lancet Oncology (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Philip Badman
8 papers receiving 264 citations
Peers
Comparison fields: 5 of 31
- Reproductive Medicine 148
- Obstetrics and Gynecology 34
- Genetics 112
- Cancer Research 55
- Oncology 52
Countries citing papers authored by Philip Badman
This map shows the geographic impact of Philip Badman'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 Philip Badman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Badman more than expected).
Fields of papers citing papers by Philip Badman
This network shows the impact of papers produced by Philip Badman. 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 Philip Badman. The network helps show where Philip Badman may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Badman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2012 | 96 | |
| 3 | 2023 | 14 | |
| 4 | 2017 | 14 | |
| 5 | 2013 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2017 | 4 | |
| 8 | 2024 | 3 | |
| 9 | RESULTS OF INTENSIVE ALGORITHM-BASED SCREENING IN THE UK FAMILIAL OVARIAN CANCER SCREENING STUDY (UK FOCSS PHASE 2) | 2013 | 1 |
| 10 | 2023 | 0 |
About Philip Badman
Philip Badman is a scholar working on Oncology, Reproductive Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Obstetrics and Gynecology, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer Research and Treatments (1 paper), Gut microbiota and health (1 paper), Cancer Genomics and Diagnostics (1 paper), BRCA gene mutations in cancer (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Reproductive Medicine (148 citations), Obstetrics and Gynecology (34 citations), Genetics (112 citations), Cancer Research (55 citations) and Oncology (52 citations). Philip Badman has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include James Mackay, Usha Menon, Ian Jacobs, Ranjit Manchanda, Steven J. Skates, Lindsay Fraser, D. Gareth Evans, Susan Philpott, Adam N. Rosenthal and Richard Hadwin. Their work appears in journals such as Journal of Clinical Oncology, Obstetrical & Gynecological Survey, Breast Cancer Research and Treatment, The Lancet Oncology 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.