Patricia Marín‐García
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Physiology top 2%
- Epidemiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- José M. BautistaAmalía DíezAntonio PuyetJesüs Sánchez‐NogueiroCarlos MonerizM. Teresa Miras‐PortugalMaría LinaresRuth Gil-Prieto
- Topics
- Malaria Research and Control (16 papers)Mosquito-borne diseases and control (9 papers)Adenosine and Purinergic Signaling (8 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SpainUnited StatesIran
In The Last Decade
Patricia Marín‐García
33 papers receiving 805 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 265
- Public Health, Environmental and Occupational Health 252
- Physiology 179
- Epidemiology 174
- Endocrine and Autonomic Systems 91
Countries citing papers authored by Patricia Marín‐García
This map shows the geographic impact of Patricia Marín‐García'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 Patricia Marín‐García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Marín‐García more than expected).
Fields of papers citing papers by Patricia Marín‐García
This network shows the impact of papers produced by Patricia Marín‐García. 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 Patricia Marín‐García. The network helps show where Patricia Marín‐García may publish in the future.
Co-authorship network of co-authors of Patricia Marín‐García
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Marín‐García. A scholar is included among the top collaborators of Patricia Marín‐García 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 Patricia Marín‐García. Patricia Marín‐García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 64 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 36 | |
| 9 | 16 | |
| 10 | 26 | |
| 11 | 30 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | 36 | |
| 15 | 25 | |
| 16 | 15 | |
| 17 | 45 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 64 |
About Patricia Marín‐García
Patricia Marín‐García is a scholar working on Physiology, Endocrine and Autonomic Systems and Parasitology, having authored 35 papers that have together received 818 indexed citations. Recurring topics across this work include Malaria Research and Control (16 papers), Mosquito-borne diseases and control (9 papers) and Adenosine and Purinergic Signaling (8 papers). The work is most often cited by research in Physiology (179 citations), Endocrine and Autonomic Systems (91 citations) and Parasitology (60 citations). Patricia Marín‐García has collaborated with scholars based in Spain, United States and Iran. Frequent co-authors include José M. Bautista, Amalía Díez, Antonio Puyet, Jesüs Sánchez‐Nogueiro, Carlos Moneriz, M. Teresa Miras‐Portugal, María Linares, Ruth Gil-Prieto, Ángel Gil de Miguel and David León. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.