Carmen Molina-Parı́s
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories 19
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- Black Holes and Theoretical Physics 18
- Immunology top 5%
- T-cell and B-cell Immunology 28
- Immune Cell Function and Interaction 25
- Immunotherapy and Immune Responses 10
- Modeling and Simulation top 5%
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- Quantum Electrodynamics and Casimir Effect 12
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- Monoclonal and Polyclonal Antibodies Research 10
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- Evolution and Genetic Dynamics 8
- Co-authors
- Matt VisserGrant LytheEmil MottolaPaul R. AndersonTanniemola B. LiverpoolSalman HabibMario CastroCarlos Briones
- Journals
- Physical Review Letters (3 papers)Nature Communications (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Carmen Molina-Parı́s
92 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 135
- Astronomy and Astrophysics 666
- Nuclear and High Energy Physics 506
- Immunology 512
- Modeling and Simulation 98
- Statistical and Nonlinear Physics 236
Countries citing papers authored by Carmen Molina-Parı́s
This map shows the geographic impact of Carmen Molina-Parı́s'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 Molina-Parı́s with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Molina-Parı́s more than expected).
Fields of papers citing papers by Carmen Molina-Parı́s
This network shows the impact of papers produced by Carmen Molina-Parı́s. 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 Molina-Parı́s. The network helps show where Carmen Molina-Parı́s may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmen Molina-Parı́s, 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 | 0 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2017 | 36 | |
| 10 | 2016 | 20 | |
| 11 | 2014 | 14 | |
| 12 | 2014 | 19 | |
| 13 | 2014 | 27 | |
| 14 | 2013 | 18 | |
| 15 | 2012 | 73 | |
| 16 | 2012 | 2 | |
| 17 | 2010 | 18 | |
| 18 | 2010 | 14 | |
| 19 | 2006 | 33 | |
| 20 | 2003 | 40 |
About Carmen Molina-Parı́s
Carmen Molina-Parı́s is a scholar working on Immunology, Nuclear and High Energy Physics and Astronomy and Astrophysics, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (28 papers), Immune Cell Function and Interaction (25 papers), Cosmology and Gravitation Theories (19 papers), Black Holes and Theoretical Physics (18 papers), Quantum Electrodynamics and Casimir Effect (12 papers), Immunotherapy and Immune Responses (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Astronomy and Astrophysics (666 citations), Nuclear and High Energy Physics (506 citations) and Immunology (512 citations). Carmen Molina-Parı́s has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Matt Visser, Grant Lythe, Emil Mottola, Paul R. Anderson, Tanniemola B. Liverpool, Salman Habib, Mario Castro, Carlos Briones, Esteban Domingo and Salman Habib. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.
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.