Fernando Salangsang
Impact in
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
-
- Melanoma and MAPK Pathways
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
Papers in
- Oncology 9
- CAR-T cell therapy research 5
- HER2/EGFR in Cancer Research 3
-
- Melanoma and MAPK Pathways 4
- Protein Degradation and Inhibitors 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Darrin D. Stuart (4 shared papers)Nancy Pryer (3 shared papers)William R. Sellers (2 shared papers)Meghna Das Thakur (2 shared papers)Martin McMahon (2 shared papers)Allison Landman (2 shared papers)Mitchell P. Levesque (1 shared paper)Reinhard Dummer (2 shared papers)
- Journals
- Blood (4 papers)Cancer Research (4 papers)Biochemical Pharmacology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Nature (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Fernando Salangsang
12 papers receiving 797 citations
Fernando Salangsang's Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 358
- Molecular Biology 602
- Cancer Research 104
- Modeling and Simulation 29
- Computational Theory and Mathematics 86
Countries citing papers authored by Fernando Salangsang
This map shows the geographic impact of Fernando Salangsang'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 Fernando Salangsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Salangsang more than expected).
Fields of papers citing papers by Fernando Salangsang
This network shows the impact of papers produced by Fernando Salangsang. 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 Fernando Salangsang. The network helps show where Fernando Salangsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Salangsang, 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 | Modelling vemurafenib resistance in melanoma reveals a strategy to forestall drug resistance Hit paper breakdown → | 2013 | 540 |
| 2 | Modular cytokine receptor-targeting chimeras for targeted degradation of cell surface and extracellular proteins Hit paper breakdown → | 2022 | 173 |
| 3 | 2012 | 41 | |
| 4 | 2023 | 18 | |
| 5 | CHIR-265, a novel inhibitor that targets B-Raf and VEGFR, shows efficacy in a broad range of preclinical models | 2006 | 10 |
| 6 | 2006 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2013 | 0 | |
| 14 | 2026 | 0 |
About Fernando Salangsang
Fernando Salangsang is a scholar working on Oncology, Molecular Biology, Immunology, Computational Theory and Mathematics and Organic Chemistry, having authored 14 papers that have together received 804 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Melanoma and MAPK Pathways (4 papers), HER2/EGFR in Cancer Research (3 papers), Protein Degradation and Inhibitors (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Computational Drug Discovery Methods (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (358 citations), Molecular Biology (602 citations), Cancer Research (104 citations), Modeling and Simulation (29 citations) and Computational Theory and Mathematics (86 citations). Fernando Salangsang has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Darrin D. Stuart, Nancy Pryer, William R. Sellers, Meghna Das Thakur, Martin McMahon, Allison Landman, Mitchell P. Levesque, Reinhard Dummer, Veronica Steri and Juan A. Cámara. Their work appears in journals such as Blood, Cancer Research, Biochemical Pharmacology, Journal for ImmunoTherapy of Cancer and Nature.
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.