J. Guillermo Paez
- Oncology top 0.2%
- Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Treatments and Mutations 2
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 2
- Cancer, Hypoxia, and Metabolism 1
- Molecular Biology top 2%
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 2
- Chronic Lymphocytic Leukemia Research 1
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- Adenosine and Purinergic Signaling 1
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- Acute Myeloid Leukemia Research 1
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- Acute Lymphoblastic Leukemia research 1
- Co-authors
- Matthew MeyersonWilliam R. SellersPasi A. JännePaula HermanJeffrey C. LeeTitus J. BoggonMichael J. EckStacey Gabriel
- 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
- Oncology 4.7k
- Pulmonary and Respiratory Medicine 5.4k
- Cancer Research 2.0k
- Molecular Biology 3.6k
- Genetics 341
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
The 25 scholars most cited alongside J. Guillermo Paez, 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 | 2005 | 29 | |
| 2 | EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapybreakdown → | 2004 | 7539 |
| 3 | 2004 | 401 | |
| 4 | Identification and characterization of a novel activating mutation of the FLT3 tyrosine kinase in AML | 2004 | 3 |
| 5 | 2004 | 238 | |
| 6 | 2004 | 75 | |
| 7 | Partial depletion of intracellular ATP mediates the stress-survival function of the PCPH oncoprotein. | 2002 | 13 |
| 8 | 2001 | 278 | |
| 9 | 2001 | 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), Lung Cancer Treatments and Mutations (2 papers), Adenosine and Purinergic Signaling (1 paper), Acute Myeloid Leukemia Research (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). 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.