Mona Parmar
Impact in
-
- Lung Cancer Research Studies
- Cancer Treatment and Pharmacology
-
- Cancer Mechanisms and Therapy
Papers in
- Oncology 12
- Colorectal Cancer Treatments and Studies 4
- Cancer Treatment and Pharmacology 3
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- Lung Cancer Treatments and Mutations 4
- Advanced Breast Cancer Therapies 3
- Co-authors
- Alison Turner (13 shared papers)Udai Banerji (16 shared papers)Nina Tunariu (9 shared papers)Johann S. de Bono (12 shared papers)Juanita Lopez (10 shared papers)Emma Hall (13 shared papers)S.J. Harris (2 shared papers)Holly Tovey (4 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Cancer Research (4 papers)Annals of Oncology (2 papers)Blood (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United KingdomAustraliaIndia
In The Last Decade
Mona Parmar
17 papers receiving 103 citations
Peers
Comparison fields: 5 of 48
- Oncology 50
- Pathology and Forensic Medicine 24
- Pulmonary and Respiratory Medicine 34
- Reproductive Medicine 7
- Molecular Biology 52
Countries citing papers authored by Mona Parmar
This map shows the geographic impact of Mona Parmar'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 Mona Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Parmar more than expected).
Fields of papers citing papers by Mona Parmar
This network shows the impact of papers produced by Mona Parmar. 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 Mona Parmar. The network helps show where Mona Parmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona Parmar, 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 | 23 | |
| 2 | 2017 | 13 | |
| 3 | 2018 | 12 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 8 | |
| 6 | 2019 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2016 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2014 | 1 | |
| 17 | Five fold increase in recruitment of cancer patients to NIHR Cancer Research Network portfolio studies between 2001-2011 | 2012 | 1 |
| 18 | 2015 | 1 | |
| 19 | 2023 | 0 |
About Mona Parmar
Mona Parmar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Reproductive Medicine and Cancer Research, having authored 19 papers that have together received 105 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Lung Cancer Treatments and Mutations (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer Mechanisms and Therapy (3 papers), Cancer Treatment and Pharmacology (3 papers), Advanced Breast Cancer Therapies (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (50 citations), Pathology and Forensic Medicine (24 citations), Pulmonary and Respiratory Medicine (34 citations), Reproductive Medicine (7 citations) and Molecular Biology (52 citations). Mona Parmar has collaborated with scholars based in United Kingdom, Australia and India. Frequent co-authors include Alison Turner, Udai Banerji, Nina Tunariu, Johann S. de Bono, Juanita Lopez, Emma Hall, S.J. Harris, Holly Tovey, Hitesh Solanki and Anna Minchom. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Annals of Oncology, Blood and Journal of Thoracic 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.