Carlos Fernández‐Hernando
- Molecular Biology top 0.5%
- Cancer Research top 0.05%
- Surgery top 1%
- Immunology top 1%
- Epidemiology top 2%
- Co-authors
- Yajaira SuárezWilliam C. SessaLeigh GoedekeKathryn J. MooreNoemí RotllánCristina M. RamírezKatey J. RaynerAlberto Dávalos
- Topics
- MicroRNA in disease regulation (82 papers)Cancer-related molecular mechanisms research (55 papers)Circular RNAs in diseases (41 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Carlos Fernández‐Hernando
163 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 8.6k
- Cancer Research 7.8k
- Surgery 2.5k
- Immunology 2.0k
- Epidemiology 1.5k
Countries citing papers authored by Carlos Fernández‐Hernando
This map shows the geographic impact of Carlos Fernández‐Hernando'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 Carlos Fernández‐Hernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Fernández‐Hernando more than expected).
Fields of papers citing papers by Carlos Fernández‐Hernando
This network shows the impact of papers produced by Carlos Fernández‐Hernando. 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 Carlos Fernández‐Hernando. The network helps show where Carlos Fernández‐Hernando may publish in the future.
Co-authorship network of co-authors of Carlos Fernández‐Hernando
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Fernández‐Hernando. A scholar is included among the top collaborators of Carlos Fernández‐Hernando 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 Carlos Fernández‐Hernando. Carlos Fernández‐Hernando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | 66 | |
| 6 | 75 | |
| 7 | 28 | |
| 8 | 36 | |
| 9 | 20 | |
| 10 | 89 | |
| 11 | 16 | |
| 12 | 85 | |
| 13 | 25 | |
| 14 | 166 | |
| 15 | 97 | |
| 16 | 102 | |
| 17 | 142 | |
| 18 | 41 | |
| 19 | 44 | |
| 20 | MiR-33 Contributes to the Regulation of Cholesterol Homeostasisbreakdown → | 990 |
About Carlos Fernández‐Hernando
Carlos Fernández‐Hernando is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 165 papers that have together received 14.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (82 papers), Cancer-related molecular mechanisms research (55 papers) and Circular RNAs in diseases (41 papers). The work is most often cited by research in Cancer Research (7.8k citations), Molecular Biology (8.6k citations) and Immunology (2.0k citations). Carlos Fernández‐Hernando has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Yajaira Suárez, William C. Sessa, Leigh Goedeke, Kathryn J. Moore, Noemí Rotllán, Cristina M. Ramírez, Katey J. Rayner, Alberto Dávalos, Edward A. Fisher and Jordan S. Pober. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.