Daniel I. Pérez
Impact in
- Pharmacology top 1%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Wnt/β-catenin signaling in development and cancer 12
- Phosphodiesterase function and regulation 9
- Chemical Synthesis and Analysis 5
- Pharmacology 29
- Cholinesterase and Neurodegenerative Diseases 27
- Co-authors
- Ana Martı́nez (47 shared papers)Carmen Gil (28 shared papers)Concepción Pérez (15 shared papers)Nuria E. Campillo (11 shared papers)Santiago Conde (6 shared papers)Ana Pérez‐Castillo (11 shared papers)Vincenza Andrisano (8 shared papers)Frank Hollmann (1 shared paper)
In The Last Decade
Daniel I. Pérez
77 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 113
- Pharmacology 756
- Computational Theory and Mathematics 327
- Molecular Biology 1.3k
- Physiology 473
- Organic Chemistry 574
Countries citing papers authored by Daniel I. Pérez
This map shows the geographic impact of Daniel I. Pérez'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 Daniel I. Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel I. Pérez more than expected).
Fields of papers citing papers by Daniel I. Pérez
This network shows the impact of papers produced by Daniel I. Pérez. 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 Daniel I. Pérez. The network helps show where Daniel I. Pérez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel I. Pérez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 126 | |
| 2 | 2009 | 111 | |
| 3 | 2014 | 102 | |
| 4 | 2008 | 100 | |
| 5 | 2015 | 98 | |
| 6 | 2011 | 97 | |
| 7 | 2014 | 94 | |
| 8 | 2003 | 93 | |
| 9 | 2011 | 80 | |
| 10 | 2013 | 79 | |
| 11 | 2010 | 78 | |
| 12 | 2012 | 76 | |
| 13 | 2012 | 71 | |
| 14 | 2002 | 70 | |
| 15 | 2019 | 67 | |
| 16 | 2011 | 65 | |
| 17 | 2011 | 65 | |
| 18 | 2015 | 61 | |
| 19 | 2017 | 60 | |
| 20 | 2016 | 60 |
About Daniel I. Pérez
Daniel I. Pérez is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Physiology and Computational Theory and Mathematics, having authored 80 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (27 papers), Wnt/β-catenin signaling in development and cancer (12 papers), Alzheimer's disease research and treatments (12 papers), Computational Drug Discovery Methods (11 papers), Phosphodiesterase function and regulation (9 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Nuclear Receptors and Signaling (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Pharmacology (756 citations), Computational Theory and Mathematics (327 citations), Molecular Biology (1.3k citations), Physiology (473 citations) and Organic Chemistry (574 citations). Daniel I. Pérez has collaborated with scholars based in Spain, Italy and Cuba. Frequent co-authors include Ana Martı́nez, Carmen Gil, Concepción Pérez, Nuria E. Campillo, Santiago Conde, Ana Pérez‐Castillo, Vincenza Andrisano, Frank Hollmann, Isabel W. C. E. Arends and Miriam Redondo. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Peritoneal Dialysis International, ACS Chemical Neuroscience and PLoS ONE.
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.