J. Guillermo Paez
- Pulmonary and Respiratory Medicine top 0.2%
- Oncology top 0.2%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Matthew MeyersonWilliam R. SellersPasi A. JännePaula HermanJeffrey C. LeeTitus J. BoggonMichael J. EckStacey Gabriel
- Topics
- Cancer Genomics and Diagnostics (2 papers)Genomic variations and chromosomal abnormalities (2 papers)Lung Cancer Treatments and Mutations (2 papers)
- Journals
- ScienceNucleic Acids ResearchBlood
- Partner nations
- United States
In The Last Decade
J. Guillermo Paez
9 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Pulmonary and Respiratory Medicine 5.4k
- Oncology 4.7k
- Molecular Biology 3.6k
- Cancer Research 2.0k
- Pathology and Forensic Medicine 537
Countries citing papers authored by J. Guillermo Paez
This map shows the geographic impact of J. Guillermo Paez'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 J. Guillermo Paez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Guillermo Paez more than expected).
Fields of papers citing papers by J. Guillermo Paez
This network shows the impact of papers produced by J. Guillermo Paez. 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 J. Guillermo Paez. The network helps show where J. Guillermo Paez may publish in the future.
Co-authorship network of co-authors of J. Guillermo Paez
This figure shows the co-authorship network connecting the top 25 collaborators of J. Guillermo Paez. A scholar is included among the top collaborators of J. Guillermo Paez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Guillermo Paez. J. Guillermo Paez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapybreakdown → | 7539 |
| 3 | 401 | |
| 4 | Identification and characterization of a novel activating mutation of the FLT3 tyrosine kinase in AML | 3 |
| 5 | 238 | |
| 6 | 75 | |
| 7 | Partial depletion of intracellular ATP mediates the stress-survival function of the PCPH oncoprotein. | 13 |
| 8 | 278 | |
| 9 | 30 |
About J. Guillermo Paez
J. Guillermo Paez is a scholar working on Physiology, Cancer Research and Hepatology, having authored 9 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Oncology (4.7k citations), Pulmonary and Respiratory Medicine (5.4k citations) and Cancer Research (2.0k citations). J. Guillermo Paez has collaborated with scholars based in United States. Frequent co-authors include Matthew Meyerson, William R. Sellers, Pasi A. Jänne, Paula Herman, Jeffrey C. Lee, Titus J. Boggon, Michael J. Eck, Stacey Gabriel, Bruce E. Johnson and Neal I. Lindeman. Their work appears in journals such as Science, Nucleic Acids Research and Blood.
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.