Marı́a Isabel Loza
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 38
-
- Neurotransmitter Receptor Influence on Behavior 32
- Neuroscience and Neuropharmacology Research 24
- Organic Chemistry top 2%
- Synthesis and Biological Evaluation 25
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 72
- Pharmacological Receptor Mechanisms and Effects 22
- Chemical Synthesis and Analysis 22
- Pharmaceutical Science top 2%
-
- Computational Drug Discovery Methods 22
- Co-authors
- José BreaMarı́a Isabel CadavidEduardo DomínguezEnrique RaviñaMarı́a José AlonsoChristian F. MasaguerMarián CastroDolores Torres
- Journals
- Angewandte Chemie International Edition (1 paper)Nature Communications (1 paper)Blood (1 paper)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Marı́a Isabel Loza
205 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 143
- Physiology 351
- Cellular and Molecular Neuroscience 756
- Organic Chemistry 1.0k
- Molecular Biology 1.9k
- Pharmaceutical Science 156
Countries citing papers authored by Marı́a Isabel Loza
This map shows the geographic impact of Marı́a Isabel Loza'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 Marı́a Isabel Loza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marı́a Isabel Loza more than expected).
Fields of papers citing papers by Marı́a Isabel Loza
This network shows the impact of papers produced by Marı́a Isabel Loza. 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 Marı́a Isabel Loza. The network helps show where Marı́a Isabel Loza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marı́a Isabel Loza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2017 | 28 | |
| 19 | 2016 | 13 | |
| 20 | the Eu-adr Alliance: A Federated Collaborative Framework for Drug Safety Studies : 667. | 2012 | 1 |
About Marı́a Isabel Loza
Marı́a Isabel Loza is a scholar working on Physiology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 212 papers that have together received 3.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (72 papers), Adenosine and Purinergic Signaling (38 papers), Neurotransmitter Receptor Influence on Behavior (32 papers), Synthesis and Biological Evaluation (25 papers), Neuroscience and Neuropharmacology Research (24 papers), Pharmacological Receptor Mechanisms and Effects (22 papers), Computational Drug Discovery Methods (22 papers) and Chemical Synthesis and Analysis (22 papers). The work is most often cited by research in Physiology (351 citations), Cellular and Molecular Neuroscience (756 citations) and Organic Chemistry (1.0k citations). Marı́a Isabel Loza has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include José Brea, Marı́a Isabel Cadavid, Eduardo Domínguez, Enrique Raviña, Marı́a José Alonso, Christian F. Masaguer, Marián Castro, Dolores Torres, Felipe Oyarzún-Ampuero and Xerardo García‐Mera. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Blood.
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.