Alfonso Martin‐Fontecha
- Immunology top 1%
- Oncology top 5%
- Molecular Biology
- Epidemiology
- Genetics
- Co-authors
- Antonio LanzavecchiaFederica SallustoMartin LippCraig GérardLindy L. ThomsenSara BrettMariagrazia UguccioniUta E. Höpken
- Topics
- T-cell and B-cell Immunology (19 papers)Immune Cell Function and Interaction (15 papers)Immunotherapy and Immune Responses (14 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Alfonso Martin‐Fontecha
25 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 2.4k
- Oncology 717
- Molecular Biology 446
- Epidemiology 197
- Genetics 125
Countries citing papers authored by Alfonso Martin‐Fontecha
This map shows the geographic impact of Alfonso Martin‐Fontecha'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 Alfonso Martin‐Fontecha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfonso Martin‐Fontecha more than expected).
Fields of papers citing papers by Alfonso Martin‐Fontecha
This network shows the impact of papers produced by Alfonso Martin‐Fontecha. 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 Alfonso Martin‐Fontecha. The network helps show where Alfonso Martin‐Fontecha may publish in the future.
Co-authorship network of co-authors of Alfonso Martin‐Fontecha
This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso Martin‐Fontecha. A scholar is included among the top collaborators of Alfonso Martin‐Fontecha 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 Alfonso Martin‐Fontecha. Alfonso Martin‐Fontecha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 102 | |
| 5 | 7 | |
| 6 | 64 | |
| 7 | 83 | |
| 8 | 1 | |
| 9 | 171 | |
| 10 | Induced recruitment of NK cells to lymph nodes provides IFN-γ for TH1 primingbreakdown → | 1069 |
| 11 | Regulation of Dendritic Cell Migration to the Draining Lymph Nodebreakdown → | 716 |
| 12 | 21 | |
| 13 | 64 | |
| 14 | 11 | |
| 15 | 91 | |
| 16 | 28 | |
| 17 | 45 | |
| 18 | 105 | |
| 19 | 14 | |
| 20 | 3 |
About Alfonso Martin‐Fontecha
Alfonso Martin‐Fontecha is a scholar working on Immunology, Immunology and Allergy and Behavioral Neuroscience, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers) and Immunotherapy and Immune Responses (14 papers). The work is most often cited by research in Immunology (2.4k citations), Oncology (717 citations) and Immunology and Allergy (114 citations). Alfonso Martin‐Fontecha has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Antonio Lanzavecchia, Federica Sallusto, Martin Lipp, Craig Gérard, Lindy L. Thomsen, Sara Brett, Mariagrazia Uguccioni, Uta E. Höpken, Silvia Sebastiani and Paolo Dellabona. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine 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.