Juan Cabezas‐Herrera
- Molecular Biology top 10%
- Pharmacology top 2%
- Pathology and Forensic Medicine top 5%
- Computational Theory and Mathematics top 2%
- Oncology
- Co-authors
- José Neptuno Rodrı́guez-LópezLuís Sánchez‐del‐CampoCecilio J. VidalMaría F. MontenegroFrancisco J. CampoyFrancisco Garcı́a-CánovasAntonio PiñeroMagalí Sáez‐Ayala
- Topics
- Cholinesterase and Neurodegenerative Diseases (28 papers)Computational Drug Discovery Methods (11 papers)Tea Polyphenols and Effects (9 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Juan Cabezas‐Herrera
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 839
- Pharmacology 373
- Pathology and Forensic Medicine 230
- Computational Theory and Mathematics 221
- Oncology 169
Countries citing papers authored by Juan Cabezas‐Herrera
This map shows the geographic impact of Juan Cabezas‐Herrera'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 Juan Cabezas‐Herrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Cabezas‐Herrera more than expected).
Fields of papers citing papers by Juan Cabezas‐Herrera
This network shows the impact of papers produced by Juan Cabezas‐Herrera. 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 Juan Cabezas‐Herrera. The network helps show where Juan Cabezas‐Herrera may publish in the future.
Co-authorship network of co-authors of Juan Cabezas‐Herrera
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Cabezas‐Herrera. A scholar is included among the top collaborators of Juan Cabezas‐Herrera 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 Juan Cabezas‐Herrera. Juan Cabezas‐Herrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 19 | |
| 3 | 18 | |
| 4 | 34 | |
| 5 | 9 | |
| 6 | 42 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | Tumor neuroectodérmico primitivo renal sarcoma de Ewing extraóseo: Presentación de un caso | 0 |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 52 | |
| 15 | 3 | |
| 16 | 28 | |
| 17 | 80 | |
| 18 | 11 | |
| 19 | 25 | |
| 20 | 11 |
About Juan Cabezas‐Herrera
Juan Cabezas‐Herrera is a scholar working on Applied Microbiology and Biotechnology, Pharmacology and Complementary and alternative medicine, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (28 papers), Computational Drug Discovery Methods (11 papers) and Tea Polyphenols and Effects (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (68 citations), Pharmacology (373 citations) and Biochemistry (128 citations). Juan Cabezas‐Herrera has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include José Neptuno Rodrı́guez-López, Luís Sánchez‐del‐Campo, Cecilio J. Vidal, María F. Montenegro, Francisco J. Campoy, Francisco Garcı́a-Cánovas, Antonio Piñero, Magalí Sáez‐Ayala, Susana Nieto and Francisco Ruíz-Espejo. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.
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.