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 12
- Chemical Synthesis and Analysis 5
- Pharmacology 32
- Cholinesterase and Neurodegenerative Diseases 30
- Co-authors
- Ana Martı́nez (49 shared papers)Carmen Gil (30 shared papers)Concepción Pérez (19 shared papers)Valle Palomo (12 shared papers)Nuria E. Campillo (12 shared papers)Santiago Conde (6 shared papers)Ana Pérez‐Castillo (12 shared papers)Vincenza Andrisano (8 shared papers)
In The Last Decade
Daniel I. Pérez
80 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 117
- Pharmacology 823
- Computational Theory and Mathematics 339
- Organic Chemistry 597
- Molecular Biology 1.4k
- Physiology 499
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 126 | |
| 2 | 2009 | 111 | |
| 3 | 2014 | 102 | |
| 4 | 2008 | 99 | |
| 5 | 2015 | 96 | |
| 6 | 2011 | 93 | |
| 7 | 2014 | 92 | |
| 8 | 2003 | 92 | |
| 9 | 2011 | 80 | |
| 10 | 2013 | 79 | |
| 11 | 2010 | 79 | |
| 12 | 2012 | 74 | |
| 13 | 2002 | 70 | |
| 14 | 2012 | 67 | |
| 15 | 2011 | 64 | |
| 16 | 2011 | 64 | |
| 17 | 2019 | 63 | |
| 18 | 2015 | 60 | |
| 19 | 2017 | 59 | |
| 20 | 2016 | 59 |
About Daniel I. Pérez
Daniel I. Pérez is a scholar working on Molecular Biology, Pharmacology, Physiology, Organic Chemistry and Computational Theory and Mathematics, having authored 83 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (30 papers), Alzheimer's disease research and treatments (14 papers), Wnt/β-catenin signaling in development and cancer (12 papers), Phosphodiesterase function and regulation (12 papers), Computational Drug Discovery Methods (12 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Chemical Synthesis and Analysis (5 papers) and Nuclear Receptors and Signaling (5 papers). The work is most often cited by research in Pharmacology (823 citations), Computational Theory and Mathematics (339 citations), Organic Chemistry (597 citations), Molecular Biology (1.4k citations) and Physiology (499 citations). Daniel I. Pérez has collaborated with scholars based in Spain, Italy and Cuba. Frequent co-authors include Ana Martı́nez, Carmen Gil, Concepción Pérez, Valle Palomo, Nuria E. Campillo, Santiago Conde, Ana Pérez‐Castillo, Vincenza Andrisano, Frank Hollmann and Isabel W. C. E. Arends. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Peritoneal Dialysis International, ACS Chemical Neuroscience and Journal of Enzyme Inhibition and Medicinal Chemistry.
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.