Simon P. Langdon
Impact in
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ovarian cancer diagnosis and treatment 28
- Oncology 68
- HER2/EGFR in Cancer Research 26
- Cytokine Signaling Pathways and Interactions 11
- Cancer-related Molecular Pathways 8
- Co-authors
- David J. HarrisonJohn F. SmythPeter MullenWilliam R. MillerCarol WardIn Hwa UmDana FaratianV. Anne Smith
- Journals
- British Journal of Cancer (13 papers)European Journal of Cancer (11 papers)Annals of Oncology (6 papers)Cancer Research (5 papers)Oncotarget (5 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Simon P. Langdon
175 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Reproductive Medicine 1.1k
- Cancer Research 1.3k
- Oncology 2.1k
- Molecular Biology 3.6k
- Obstetrics and Gynecology 303
Countries citing papers authored by Simon P. Langdon
This map shows the geographic impact of Simon P. Langdon'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 Simon P. Langdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon P. Langdon more than expected).
Fields of papers citing papers by Simon P. Langdon
This network shows the impact of papers produced by Simon P. Langdon. 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 Simon P. Langdon. The network helps show where Simon P. Langdon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon P. Langdon, 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 | 2018 | 53 | |
| 2 | 2015 | 41 | |
| 3 | 2014 | 32 | |
| 4 | 2012 | 38 | |
| 5 | 2011 | 41 | |
| 6 | 2011 | 44 | |
| 7 | 2010 | 60 | |
| 8 | FACTORS DETERMINING GONADOTROPHIN RELEASING HORMONE ANALOGUE SENSITIVITY | 2010 | 3 |
| 9 | 2009 | 242 | |
| 10 | 2009 | 126 | |
| 11 | 2005 | 7 | |
| 12 | 2005 | 128 | |
| 13 | 2005 | 44 | |
| 14 | 2004 | 23 | |
| 15 | 2002 | 66 | |
| 16 | 1999 | 16 | |
| 17 | 1996 | 181 | |
| 18 | 1996 | 17 | |
| 19 | 1994 | 13 | |
| 20 | 1985 | 26 |
About Simon P. Langdon
Simon P. Langdon is a scholar working on Reproductive Medicine, Oncology, Molecular Biology, Microbiology and Cancer Research, having authored 176 papers that have together received 6.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), Ovarian cancer diagnosis and treatment (28 papers), HER2/EGFR in Cancer Research (26 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), PI3K/AKT/mTOR signaling in cancer (14 papers), Cytokine Signaling Pathways and Interactions (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Cancer Research (1.3k citations), Oncology (2.1k citations), Molecular Biology (3.6k citations) and Obstetrics and Gynecology (303 citations). Simon P. Langdon has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David J. Harrison, John F. Smyth, Peter Mullen, William R. Miller, Carol Ward, In Hwa Um, Dana Faratian, V. Anne Smith, Antonis Koussounadis and Kenneth G. MacLeod. Their work appears in journals such as British Journal of Cancer, European Journal of Cancer, Annals of Oncology, Cancer Research and Oncotarget.
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.