Anna Codina
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 1%
- Long-Term Effects of COVID-19
Papers in
-
- Analytical Chemistry and Chromatography 5
- Advanced NMR Techniques and Applications 5
-
- Muscle Physiology and Disorders 9
- Co-authors
- Ulrich Hintermair (6 shared papers)John P. Lowe (6 shared papers)Andrew M. R. Hall (4 shared papers)David Neuhaus (2 shared papers)John W. R. Schwabe (2 shared papers)David S. Smith (2 shared papers)Mitchell A. Lazar (1 shared paper)James D. Love (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)ACS Catalysis (2 papers)Analytical Chemistry (2 papers)International Journal of Molecular Sciences (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Anna Codina
54 papers receiving 4.9k citations
Anna Codina's Hit Papers
Peers
Comparison fields: 5 of 142
- Infectious Diseases 2.5k
- Neurology 950
- Immunology 1.3k
- Modeling and Simulation 104
- Biological Psychiatry 43
Countries citing papers authored by Anna Codina
This map shows the geographic impact of Anna Codina'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 Anna Codina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Codina more than expected).
Fields of papers citing papers by Anna Codina
This network shows the impact of papers produced by Anna Codina. 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 Anna Codina. The network helps show where Anna Codina may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Codina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autoantibodies against type I IFNs in patients with life-threatening COVID-19 Hit paper breakdown → | 2020 | 2063 |
| 2 | Inborn errors of type I IFN immunity in patients with life-threatening COVID-19 Hit paper breakdown → | 2020 | 1718 |
| 3 | 2022 | 142 | |
| 4 | 2014 | 107 | |
| 5 | 2016 | 86 | |
| 6 | 2005 | 85 | |
| 7 | 2019 | 78 | |
| 8 | 2023 | 56 | |
| 9 | 2019 | 53 | |
| 10 | 2004 | 50 | |
| 11 | 2018 | 45 | |
| 12 | 2017 | 39 | |
| 13 | 2011 | 39 | |
| 14 | 2021 | 33 | |
| 15 | 2023 | 28 | |
| 16 | 2021 | 23 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2010 | 21 | |
| 20 | 2011 | 20 |
About Anna Codina
Anna Codina is a scholar working on Spectroscopy, Molecular Biology, Nuclear and High Energy Physics, Infectious Diseases and Inorganic Chemistry, having authored 58 papers that have together received 5.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), NMR spectroscopy and applications (6 papers), COVID-19 Clinical Research Studies (5 papers), Analytical Chemistry and Chromatography (5 papers), Advanced NMR Techniques and Applications (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Asymmetric Hydrogenation and Catalysis (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Neurology (950 citations), Immunology (1.3k citations), Modeling and Simulation (104 citations) and Biological Psychiatry (43 citations). Anna Codina has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ulrich Hintermair, John P. Lowe, Andrew M. R. Hall, David Neuhaus, John W. R. Schwabe, David S. Smith, Mitchell A. Lazar, James D. Love, Yun Li and Flavien Susanne. Their work appears in journals such as Frontiers in Immunology, ACS Catalysis, Analytical Chemistry, International Journal of Molecular Sciences and Proceedings of the National Academy of Sciences.
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.