Hugo López-Fernández
- Molecular Biology
- Oncology
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Spectroscopy top 10%
- Co-authors
- Miguel Reboiro‐JatoFlorentino Fdez‐RiverolaDaniel Glez‐PeñaJosé Luís CapeloAnália LourençoHugo M. SantosÁgueda IglesiasJoaquín Cubiella
- Topics
- Advanced Proteomics Techniques and Applications (15 papers)Genomics and Phylogenetic Studies (12 papers)Mass Spectrometry Techniques and Applications (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- SpainPortugalUnited States
In The Last Decade
Hugo López-Fernández
51 papers receiving 708 citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 235
- Oncology 131
- Artificial Intelligence 119
- Radiology, Nuclear Medicine and Imaging 103
- Spectroscopy 78
Countries citing papers authored by Hugo López-Fernández
This map shows the geographic impact of Hugo López-Fernández'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 Hugo López-Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo López-Fernández more than expected).
Fields of papers citing papers by Hugo López-Fernández
This network shows the impact of papers produced by Hugo López-Fernández. 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 Hugo López-Fernández. The network helps show where Hugo López-Fernández may publish in the future.
Co-authorship network of co-authors of Hugo López-Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo López-Fernández. A scholar is included among the top collaborators of Hugo López-Fernández 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 Hugo López-Fernández. Hugo López-Fernández 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | Application of data mining and artificial intelligence techniques to mass spectrometry data for knowledge discovery | 0 |
| 18 | 34 | |
| 19 | 3 | |
| 20 | 21 |
About Hugo López-Fernández
Hugo López-Fernández is a scholar working on Spectroscopy, Information Systems and Management and Molecular Biology, having authored 57 papers that have together received 727 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Genomics and Phylogenetic Studies (12 papers) and Mass Spectrometry Techniques and Applications (10 papers). The work is most often cited by research in Health Informatics (12 citations), Clinical Biochemistry (44 citations) and Oncology (131 citations). Hugo López-Fernández has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Miguel Reboiro‐Jato, Florentino Fdez‐Riverola, Daniel Glez‐Peña, José Luís Capelo, Anália Lourenço, Hugo M. Santos, Águeda Iglesias, Joaquín Cubiella, Jorge Vieira and Cristina P. Vieira. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.