Martín E. Fernández-Zapico
- Molecular Biology top 1%
- Oncology top 0.5%
- Cancer Research top 1%
- Immunology top 2%
- Surgery top 5%
- Co-authors
- Raúl UrrutiaDaniel D. BilladeauMaite G. Fernández‐BarrenaAndrei V. OugolkovKenneth P. OliveCarmine F. PalermoLuciana L. AlmadaStephen A. Sastra
- Topics
- Hedgehog Signaling Pathway Studies (41 papers)Pancreatic and Hepatic Oncology Research (39 papers)Epigenetics and DNA Methylation (30 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Martín E. Fernández-Zapico
165 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 5.0k
- Oncology 3.0k
- Cancer Research 1.5k
- Immunology 1.2k
- Surgery 854
Countries citing papers authored by Martín E. Fernández-Zapico
This map shows the geographic impact of Martín E. Fernández-Zapico'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 E. Fernández-Zapico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín E. Fernández-Zapico more than expected).
Fields of papers citing papers by Martín E. Fernández-Zapico
This network shows the impact of papers produced by Martín E. Fernández-Zapico. 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 E. Fernández-Zapico. The network helps show where Martín E. Fernández-Zapico may publish in the future.
Co-authorship network of co-authors of Martín E. Fernández-Zapico
This figure shows the co-authorship network connecting the top 25 collaborators of Martín E. Fernández-Zapico. A scholar is included among the top collaborators of Martín E. Fernández-Zapico 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 E. Fernández-Zapico. Martín E. Fernández-Zapico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 109 | |
| 10 | 63 | |
| 11 | 53 | |
| 12 | 33 | |
| 13 | 36 | |
| 14 | 21 | |
| 15 | 93 | |
| 16 | 11 | |
| 17 | 19 | |
| 18 | 54 | |
| 19 | 38 | |
| 20 | 283 |
About Martín E. Fernández-Zapico
Martín E. Fernández-Zapico is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 172 papers that have together received 7.7k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (41 papers), Pancreatic and Hepatic Oncology Research (39 papers) and Epigenetics and DNA Methylation (30 papers). The work is most often cited by research in Oncology (3.0k citations), Cancer Research (1.5k citations) and Molecular Biology (5.0k citations). Martín E. Fernández-Zapico has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Raúl Urrutia, Daniel D. Billadeau, Maite G. Fernández‐Barrena, Andrei V. Ougolkov, Kenneth P. Olive, Carmine F. Palermo, Luciana L. Almada, Stephen A. Sastra, Ian Tattersall and Dafydd Thomas. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.