Martín A. Rivas
- Oncology top 5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Patricia V. ElizaldeRoxana SchillaciWendy BéguelinCecilia J. ProiettiCinthia RosemblitEduardo H. CharreauLeandro VenturuttiMercedes Tkach
- Topics
- Cytokine Signaling Pathways and Interactions (10 papers)Genomics and Chromatin Dynamics (6 papers)HER2/EGFR in Cancer Research (5 papers)
- Cited by
- OncologyCancer ResearchGenetics
- Journals
- Nature CommunicationsThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- ArgentinaUnited StatesIsrael
In The Last Decade
Martín A. Rivas
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Oncology 845
- Molecular Biology 761
- Pulmonary and Respiratory Medicine 477
- Cancer Research 397
- Immunology 246
Countries citing papers authored by Martín A. Rivas
This map shows the geographic impact of Martín A. Rivas'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 Martín A. Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín A. Rivas more than expected).
Fields of papers citing papers by Martín A. Rivas
This network shows the impact of papers produced by Martín A. Rivas. 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 Martín A. Rivas. The network helps show where Martín A. Rivas may publish in the future.
Co-authorship network of co-authors of Martín A. Rivas
This figure shows the co-authorship network connecting the top 25 collaborators of Martín A. Rivas. A scholar is included among the top collaborators of Martín A. Rivas 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 Martín A. Rivas. Martín A. Rivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 83 | |
| 5 | 6 | |
| 6 | 129 | |
| 7 | Early Adaptation and Acquired Resistance to CDK4/6 Inhibition in Estrogen Receptor–Positive Breast Cancerbreakdown → | 511 |
| 8 | 81 | |
| 9 | 74 | |
| 10 | 1 | |
| 11 | 77 | |
| 12 | 92 | |
| 13 | 38 | |
| 14 | 85 | |
| 15 | 23 | |
| 16 | 31 | |
| 17 | Stat3 enhances Progesterone Receptor (PR)-mediated transcriptional activity through Sp-1 in the p21 promoter in breast cancer cells. | 1 |
| 18 | 46 | |
| 19 | 133 | |
| 20 | 25 |
About Martín A. Rivas
Martín A. Rivas is a scholar working on Oncology, Cancer Research and Immunology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Genomics and Chromatin Dynamics (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Oncology (845 citations), Cancer Research (397 citations) and Genetics (173 citations). Martín A. Rivas has collaborated with scholars based in Argentina, United States and Israel. Frequent co-authors include Patricia V. Elizalde, Roxana Schillaci, Wendy Béguelin, Cecilia J. Proietti, Cinthia Rosemblit, Eduardo H. Charreau, Leandro Venturutti, Mercedes Tkach, Ari Melnick and Christopher J. Lord. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.