Fernando Ulloa‐Montoya
- Molecular Biology
- Genetics top 2%
- Surgery top 10%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Catherine M. VerfaillieValerie D. RoobrouckWei‐Shou HuLucas G. ChaseBart SpiessensBenjamin L. KidderBenjamin DizierJamila Louahed
- Topics
- Immunotherapy and Immune Responses (6 papers)Pluripotent Stem Cells Research (5 papers)Cancer Immunotherapy and Biomarkers (4 papers)
- Cited by
- GeneticsImmunologyOncology
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Fernando Ulloa‐Montoya
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 511
- Genetics 363
- Surgery 286
- Oncology 269
- Immunology 254
Countries citing papers authored by Fernando Ulloa‐Montoya
This map shows the geographic impact of Fernando Ulloa‐Montoya'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 Ulloa‐Montoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Ulloa‐Montoya more than expected).
Fields of papers citing papers by Fernando Ulloa‐Montoya
This network shows the impact of papers produced by Fernando Ulloa‐Montoya. 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 Ulloa‐Montoya. The network helps show where Fernando Ulloa‐Montoya may publish in the future.
Co-authorship network of co-authors of Fernando Ulloa‐Montoya
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Ulloa‐Montoya. A scholar is included among the top collaborators of Fernando Ulloa‐Montoya 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 Fernando Ulloa‐Montoya. Fernando Ulloa‐Montoya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 33 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 290 | |
| 9 | 132 | |
| 10 | 29 | |
| 11 | 27 | |
| 12 | Breast cancer resistance protein 1 (bcrp) and p-glycoprotein (mdr1) are key players in renal regeneration after ischemic injury | 1 |
| 13 | Clinical Activity Following the Administration of the MAGE-A3 Antigen-specific Cancer Immunotherapeutic in Both the Melanoma and NSCLC is Associated With Similar Predictive Biomarkers Present Prior Treatment | 2 |
| 14 | 0 | |
| 15 | 212 | |
| 16 | 105 | |
| 17 | 83 | |
| 18 | 113 |
About Fernando Ulloa‐Montoya
Fernando Ulloa‐Montoya is a scholar working on Immunology, Genetics and Virology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Pluripotent Stem Cells Research (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Genetics (363 citations), Immunology (254 citations) and Oncology (269 citations). Fernando Ulloa‐Montoya has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Catherine M. Verfaillie, Valerie D. Roobrouck, Wei‐Shou Hu, Lucas G. Chase, Bart Spiessens, Benjamin L. Kidder, Benjamin Dizier, Jamila Louahed, Frédéric Lehmann and Olivier Gruselle. Their work appears in journals such as Journal of Clinical Oncology, Nature Biotechnology and Diabetes.
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.