César Flores‐Flores
- Pharmacology top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Physiology
- Cellular and Molecular Neuroscience
- Co-authors
- Hermona SoreqMarjorie PickAgneta NordbergZhenpeng GuanTaher Darreh‐ShoriJames W. PatrickMeira SternfeldShai Shoham
- Topics
- Cholinesterase and Neurodegenerative Diseases (7 papers)Computational Drug Discovery Methods (5 papers)Adenosine and Purinergic Signaling (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- SpainIsraelUnited Kingdom
In The Last Decade
César Flores‐Flores
14 papers receiving 359 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 226
- Molecular Biology 210
- Computational Theory and Mathematics 101
- Physiology 65
- Cellular and Molecular Neuroscience 53
Countries citing papers authored by César Flores‐Flores
This map shows the geographic impact of César Flores‐Flores'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 César Flores‐Flores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites César Flores‐Flores more than expected).
Fields of papers citing papers by César Flores‐Flores
This network shows the impact of papers produced by César Flores‐Flores. 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 César Flores‐Flores. The network helps show where César Flores‐Flores may publish in the future.
Co-authorship network of co-authors of César Flores‐Flores
This figure shows the co-authorship network connecting the top 25 collaborators of César Flores‐Flores. A scholar is included among the top collaborators of César Flores‐Flores 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 César Flores‐Flores. César Flores‐Flores 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 | 18 | |
| 4 | 28 | |
| 5 | 85 | |
| 6 | 36 | |
| 7 | 24 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | 112 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 12 |
About César Flores‐Flores
César Flores‐Flores is a scholar working on Physiology, Pharmacology and Computational Theory and Mathematics, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (7 papers), Computational Drug Discovery Methods (5 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Pharmacology (226 citations), Computational Theory and Mathematics (101 citations) and Physiology (25 citations). César Flores‐Flores has collaborated with scholars based in Spain, Israel and United Kingdom. Frequent co-authors include Hermona Soreq, Marjorie Pick, Agneta Nordberg, Zhenpeng Guan, Taher Darreh‐Shori, James W. Patrick, Meira Sternfeld, Shai Shoham, Cecilio J. Vidal and Alejandro Martı́nez-Martı́nez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.