Lola Rahib
- Oncology top 0.2%
- Pancreatic and Hepatic Oncology Research 22
- Global Cancer Incidence and Screening 4
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 16
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- Renal cell carcinoma treatment 7
- Advanced Breast Cancer Therapies 2
- Surgery top 2%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 6
- Peroxisome Proliferator-Activated Receptors 5
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- Adipose Tissue and Metabolism 4
- Co-authors
- Lynn M. MatrisianJulie FleshmanBenjamin D. SmithAllison RosenzweigMackenzie R. WehnerKevin T. NeadAndrew HendifarMichael J. Pishvaian
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Lola Rahib
33 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Oncology 5.0k
- Cancer Research 2.2k
- Pulmonary and Respiratory Medicine 1.1k
- Surgery 1.4k
- Molecular Biology 2.1k
Countries citing papers authored by Lola Rahib
This map shows the geographic impact of Lola Rahib'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 Lola Rahib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lola Rahib more than expected).
Fields of papers citing papers by Lola Rahib
This network shows the impact of papers produced by Lola Rahib. 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 Lola Rahib. The network helps show where Lola Rahib may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lola Rahib, 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 | 2025 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 4 | |
| 6 | Overall survival in patients with pancreatic cancer receiving matched therapies following molecular profiling: a retrospective analysis of the Know Your Tumor registry trialbreakdown → | 2020 | 327 |
| 7 | 2020 | 3 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 149 | |
| 10 | 2018 | 114 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 49 | |
| 13 | 2016 | 2 | |
| 14 | 2014 | 12 | |
| 15 | 2013 | 48 | |
| 16 | 2009 | 16 | |
| 17 | 2009 | 27 | |
| 18 | 2007 | 32 | |
| 19 | 2007 | 51 | |
| 20 | 2005 | 29 |
About Lola Rahib
Lola Rahib is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 7.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (22 papers), Cancer Genomics and Diagnostics (16 papers), Renal cell carcinoma treatment (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Global Cancer Incidence and Screening (4 papers), Adipose Tissue and Metabolism (4 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (5.0k citations), Cancer Research (2.2k citations) and Pulmonary and Respiratory Medicine (1.1k citations). Lola Rahib has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lynn M. Matrisian, Julie Fleshman, Benjamin D. Smith, Allison Rosenzweig, Mackenzie R. Wehner, Kevin T. Nead, Andrew Hendifar, Michael J. Pishvaian, Jonathan R. Brody and Subha Madhavan. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.
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.