Jaime A. Escobedo
- Molecular Biology top 1%
- Oncology top 2%
- Cell Biology top 1%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- Lewis T. WilliamsHikaru UenoCarlie de VriesNapoleone FerraraKeith A. HouckChristoph W. TurckL T WilliamsShaun R. Coughlin
- Topics
- PI3K/AKT/mTOR signaling in cancer (11 papers)Protein Kinase Regulation and GTPase Signaling (10 papers)Virus-based gene therapy research (6 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Jaime A. Escobedo
38 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 5.4k
- Oncology 1.2k
- Cell Biology 998
- Cancer Research 814
- Immunology 771
Countries citing papers authored by Jaime A. Escobedo
This map shows the geographic impact of Jaime A. Escobedo'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 Jaime A. Escobedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime A. Escobedo more than expected).
Fields of papers citing papers by Jaime A. Escobedo
This network shows the impact of papers produced by Jaime A. Escobedo. 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 Jaime A. Escobedo. The network helps show where Jaime A. Escobedo may publish in the future.
Co-authorship network of co-authors of Jaime A. Escobedo
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime A. Escobedo. A scholar is included among the top collaborators of Jaime A. Escobedo 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 Jaime A. Escobedo. Jaime A. Escobedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 122 | |
| 3 | 65 | |
| 4 | 8 | |
| 5 | 164 | |
| 6 | 143 | |
| 7 | 81 | |
| 8 | 33 | |
| 9 | 34 | |
| 10 | 12 | |
| 11 | 20 | |
| 12 | 358 | |
| 13 | The fms -Like Tyrosine Kinase, a Receptor for Vascular Endothelial Growth Factorbreakdown → | 1748 |
| 14 | Distinct phosphotyrosines on a growth factor receptor bind to specific molecules that mediate different signaling pathwaysbreakdown → | 588 |
| 15 | 257 | |
| 16 | cDNA cloning of a Novel 85 kd protein that has SH2 domains and regulates binding of PI3-kinase to the PDGF β-receptorbreakdown → | 528 |
| 17 | 473 | |
| 18 | Role of Phosphatidylinositol Kinase in PDGF Receptor Signal Transductionbreakdown → | 467 |
| 19 | 171 | |
| 20 | 5 |
About Jaime A. Escobedo
Jaime A. Escobedo is a scholar working on Hematology, Molecular Biology and Genetics, having authored 38 papers that have together received 7.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Immunology and Allergy (748 citations), Molecular Biology (5.4k citations) and Cell Biology (998 citations). Jaime A. Escobedo has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Lewis T. Williams, Hikaru Ueno, Carlie de Vries, Napoleone Ferrara, Keith A. Houck, Christoph W. Turck, L T Williams, Shaun R. Coughlin, Wendy J. Fantl and David R. Kaplan. Their work appears in journals such as Nature, Science and Cell.
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.