Carmen Martı́nez
- Immunology top 5%
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 6
- Aging top 5%
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- Hormonal and reproductive studies 5
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- Neurobiology and Insect Physiology Research 5
- Endocrine and Autonomic Systems top 10%
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- Adipose Tissue and Metabolism 11
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- Adipokines, Inflammation, and Metabolic Diseases 10
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- Metabolism, Diabetes, and Cancer 10
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Juan ModolellAntonio AndrésJ. GonzaloGuido KroemerAna González‐GarcíaMarı́a L. ToribioPaul F. PilchMónica R. Calera
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Carmen Martı́nez
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Immunology 492
- Aging 39
- Endocrinology, Diabetes and Metabolism 323
- Cellular and Molecular Neuroscience 277
- Endocrine and Autonomic Systems 102
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
The 25 scholars most cited alongside Carmen Martı́nez, 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 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2019 | 46 | |
| 4 | Identificación inicial de genes en Babesia bigemina mediante análisis de Etiquetas de Secuencia Expresadas en el estadio intraeritrocítico del parásito | 2012 | 1 |
| 5 | 2011 | 10 | |
| 6 | 2009 | 18 | |
| 7 | 2008 | 32 | |
| 8 | 2005 | 20 | |
| 9 | 2004 | 74 | |
| 10 | 2004 | 26 | |
| 11 | 2003 | 5 | |
| 12 | 2002 | 23 | |
| 13 | 2000 | 1 | |
| 14 | 1998 | 40 | |
| 15 | 1993 | 33 | |
| 16 | 1992 | 20 | |
| 17 | 1989 | 20 | |
| 18 | 1989 | 26 | |
| 19 | 1989 | 45 | |
| 20 | 1988 | 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), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Metabolism, Diabetes, and Cancer (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Immune Cell Function and Interaction (6 papers), Neurobiology and Insect Physiology Research (5 papers) and Hormonal and reproductive studies (5 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.