Christine M. Lovly
- Oncology top 0.5%
- Lung Cancer Research Studies 39
- Cancer Immunotherapy and Biomarkers 12
- Pancreatic and Hepatic Oncology Research 10
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 44
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations 89
- Molecular Biology top 2%
- Cancer therapeutics and mechanisms 20
- Melanoma and MAPK Pathways 10
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- Neuroendocrine Tumor Research Advances 11
- Co-authors
- Zhenfang DuAlice T. ShawDavid WestoverWade T. IamsWilliam PaoJ. ZugazagoitiaLuis Paz‐AresByoung Chul Cho
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Medicine (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Christine M. Lovly
136 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Oncology 3.7k
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 3.1k
- Molecular Biology 3.3k
- Pathology and Forensic Medicine 583
Countries citing papers authored by Christine M. Lovly
This map shows the geographic impact of Christine M. Lovly'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 Christine M. Lovly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine M. Lovly more than expected).
Fields of papers citing papers by Christine M. Lovly
This network shows the impact of papers produced by Christine M. Lovly. 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 Christine M. Lovly. The network helps show where Christine M. Lovly may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christine M. Lovly, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | Integrative Analysis of a Large Real-World Cohort of Small Cell Lung Cancer Identifies Distinct Genetic Subtypes and Insights into Histologic Transformationbreakdown → | 2023 | 75 |
| 5 | 2021 | 19 | |
| 6 | 2019 | 76 | |
| 7 | 2018 | 76 | |
| 8 | 2018 | 131 | |
| 9 | 2017 | 104 | |
| 10 | 2017 | 28 | |
| 11 | 2016 | 84 | |
| 12 | 2015 | 132 | |
| 13 | 2015 | 81 | |
| 14 | 2014 | 22 | |
| 15 | 2014 | 106 | |
| 16 | 2014 | 303 | |
| 17 | 2013 | 174 | |
| 18 | 2012 | 201 | |
| 19 | 2011 | 177 | |
| 20 | 2011 | 147 |
About Christine M. Lovly
Christine M. Lovly is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 143 papers that have together received 6.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (89 papers), Cancer Genomics and Diagnostics (44 papers), Lung Cancer Research Studies (39 papers), Cancer therapeutics and mechanisms (20 papers), Cancer Immunotherapy and Biomarkers (12 papers), Neuroendocrine Tumor Research Advances (11 papers), Melanoma and MAPK Pathways (10 papers) and Pancreatic and Hepatic Oncology Research (10 papers). The work is most often cited by research in Oncology (3.7k citations), Cancer Research (1.4k citations) and Pulmonary and Respiratory Medicine (3.1k citations). Christine M. Lovly has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Zhenfang Du, Alice T. Shaw, David Westover, Wade T. Iams, William Pao, J. Zugazagoitia, Luis Paz‐Ares, Byoung Chul Cho, Helen Piwnica‐Worms and Ryohei Katayama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.
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.