Marı́a J. Carmena
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Juan Carlos PrietoAna M. BajoManuel Sánchez‐ChapadoBeatriz ColladoAndrew V. SchallyLaura Muñoz‐MorenoAna B. Fernández‐MartínezAna Valdehíta
- Topics
- Neuropeptides and Animal Physiology (45 papers)Receptor Mechanisms and Signaling (21 papers)Peptidase Inhibition and Analysis (19 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Marı́a J. Carmena
88 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 742
- Cellular and Molecular Neuroscience 607
- Oncology 311
- Endocrinology, Diabetes and Metabolism 248
- Pulmonary and Respiratory Medicine 159
Countries citing papers authored by Marı́a J. Carmena
This map shows the geographic impact of Marı́a J. Carmena'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 J. Carmena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marı́a J. Carmena more than expected).
Fields of papers citing papers by Marı́a J. Carmena
This network shows the impact of papers produced by Marı́a J. Carmena. 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 J. Carmena. The network helps show where Marı́a J. Carmena may publish in the future.
Co-authorship network of co-authors of Marı́a J. Carmena
This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a J. Carmena. A scholar is included among the top collaborators of Marı́a J. Carmena 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 Marı́a J. Carmena. Marı́a J. Carmena 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 | 1 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 18 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 26 | |
| 10 | 18 | |
| 11 | 25 | |
| 12 | 27 | |
| 13 | 47 | |
| 14 | 17 | |
| 15 | 0 | |
| 16 | 21 | |
| 17 | 7 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 10 |
About Marı́a J. Carmena
Marı́a J. Carmena is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Oncology, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (45 papers), Receptor Mechanisms and Signaling (21 papers) and Peptidase Inhibition and Analysis (19 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (607 citations), Sensory Systems (82 citations) and Endocrinology, Diabetes and Metabolism (248 citations). Marı́a J. Carmena has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Juan Carlos Prieto, Ana M. Bajo, Juan Carlos Prieto, Manuel Sánchez‐Chapado, Beatriz Collado, Andrew V. Schally, Laura Muñoz‐Moreno, Ana B. Fernández‐Martínez, Ana Valdehíta and M. Isabel Arenas. Their work appears in journals such as Chemistry of Materials, Biochemical and Biophysical Research Communications and FEBS Letters.
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.