C. Tapia
Impact in
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Pulmonary Hypertension Research and Treatments
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- Cancer Genomics and Diagnostics
Papers in
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- Lung Cancer Treatments and Mutations 5
- Pulmonary Hypertension Research and Treatments 2
- Oncology 8
- HER2/EGFR in Cancer Research 3
- Lung Cancer Research Studies 3
- Co-authors
- Lukas Bubendorf (5 shared papers)Michel Bihl (4 shared papers)Inti Zlobec (3 shared papers)Luigi Terracciano (3 shared papers)J. Alberto San Román (6 shared papers)Ana Revilla (3 shared papers)Román Arnold (3 shared papers)Eduardo Villacorta (2 shared papers)
- Journals
- British Journal of Cancer (2 papers)Revista Española de Cardiología (English Edition) (2 papers)Annals of Oncology (2 papers)Urology (1 paper)iScience (1 paper)
- Partner nations
- SwitzerlandSpainUnited States
In The Last Decade
C. Tapia
17 papers receiving 323 citations
Peers
Comparison fields: 5 of 54
- Pulmonary and Respiratory Medicine 195
- Cancer Research 89
- Oncology 114
- Critical Care and Intensive Care Medicine 17
- Cardiology and Cardiovascular Medicine 64
Countries citing papers authored by C. Tapia
This map shows the geographic impact of C. Tapia'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 C. Tapia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Tapia more than expected).
Fields of papers citing papers by C. Tapia
This network shows the impact of papers produced by C. Tapia. 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 C. Tapia. The network helps show where C. Tapia may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Tapia, 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 | 2007 | 87 | |
| 2 | 2014 | 66 | |
| 3 | 2010 | 42 | |
| 4 | 2010 | 39 | |
| 5 | 2007 | 34 | |
| 6 | 2009 | 18 | |
| 7 | 2017 | 13 | |
| 8 | 2005 | 4 | |
| 9 | 2012 | 4 | |
| 10 | 2008 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2008 | 3 | |
| 13 | 2008 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2004 | 2 | |
| 16 | 2010 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2004 | 0 |
About C. Tapia
C. Tapia is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), HER2/EGFR in Cancer Research (3 papers), Cardiovascular Function and Risk Factors (3 papers), Lung Cancer Research Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Breast Cancer Treatment Studies (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (195 citations), Cancer Research (89 citations), Oncology (114 citations), Critical Care and Intensive Care Medicine (17 citations) and Cardiology and Cardiovascular Medicine (64 citations). C. Tapia has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Lukas Bubendorf, Michel Bihl, Inti Zlobec, Luigi Terracciano, J. Alberto San Román, Ana Revilla, Román Arnold, Eduardo Villacorta, Audrey Barascud and Itzíar Gómez. Their work appears in journals such as British Journal of Cancer, Revista Española de Cardiología (English Edition), Annals of Oncology, Urology and iScience.
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.