Carmen Martı́nez
- Molecular Biology top 10%
- Immunology top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Juan ModolellAntonio AndrésJ. GonzaloGuido KroemerAna González‐GarcíaMarı́a L. ToribioPaul F. PilchMónica R. Calera
- Topics
- Adipose Tissue and Metabolism (11 papers)T-cell and B-cell Immunology (11 papers)Adipokines, Inflammation, and Metabolic Diseases (10 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Carmen Martı́nez
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 972
- Immunology 492
- Physiology 326
- Endocrinology, Diabetes and Metabolism 323
- Cellular and Molecular Neuroscience 277
Countries citing papers authored by Carmen Martı́nez
This map shows the geographic impact of Carmen Martı́nez'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 Carmen Martı́nez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Martı́nez more than expected).
Fields of papers citing papers by Carmen Martı́nez
This network shows the impact of papers produced by Carmen Martı́nez. 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 Carmen Martı́nez. The network helps show where Carmen Martı́nez may publish in the future.
Co-authorship network of co-authors of Carmen Martı́nez
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Martı́nez. A scholar is included among the top collaborators of Carmen Martı́nez 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 Carmen Martı́nez. Carmen Martı́nez 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 | 5 | |
| 3 | 46 | |
| 4 | Identificación inicial de genes en Babesia bigemina mediante análisis de Etiquetas de Secuencia Expresadas en el estadio intraeritrocítico del parásito | 1 |
| 5 | 10 | |
| 6 | 18 | |
| 7 | 32 | |
| 8 | 20 | |
| 9 | 74 | |
| 10 | 26 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 40 | |
| 15 | 33 | |
| 16 | 20 | |
| 17 | 20 | |
| 18 | 26 | |
| 19 | 45 | |
| 20 | 35 |
About Carmen Martı́nez
Carmen Martı́nez is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Endocrine and Autonomic Systems, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), T-cell and B-cell Immunology (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). The work is most often cited by research in Immunology (492 citations), Aging (39 citations) and Endocrinology, Diabetes and Metabolism (323 citations). Carmen Martı́nez has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Juan Modolell, Antonio Andrés, J. Gonzalo, Guido Kroemer, Ana González‐García, Marı́a L. Toribio, Paul F. Pilch, Mónica R. Calera, Morris J. Birnbaum and Amr K. El Jack. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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.