Daniel Lopez Codina
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Developmental Biology top 5%
Papers in
-
- COVID-19 epidemiological studies 12
-
- Tuberculosis Research and Epidemiology 8
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- Co-authors
- Clara Prats (39 shared papers)Joaquim Valls (17 shared papers)Marta Ginovart Gisbert (7 shared papers)Maria Teresa Mitjavila (4 shared papers)P. Puig‐Parellada (3 shared papers)María P. Sáiz (2 shared papers)Juan Pablo Sánchez (2 shared papers)Père-Joan Cardona (14 shared papers)
- Journals
- PLoS ONE (7 papers)Frontiers in Microbiology (4 papers)Frontiers in Public Health (4 papers)Journal of Theoretical Biology (4 papers)Complexity (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Daniel Lopez Codina
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 176
- Modeling and Simulation 134
- Developmental Biology 43
- Biochemistry 96
- Aquatic Science 88
- Infectious Diseases 194
Countries citing papers authored by Daniel Lopez Codina
This map shows the geographic impact of Daniel Lopez 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 Daniel Lopez Codina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lopez Codina more than expected).
Fields of papers citing papers by Daniel Lopez Codina
This network shows the impact of papers produced by Daniel Lopez 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 Daniel Lopez Codina. The network helps show where Daniel Lopez Codina may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lopez 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 143 | |
| 2 | 2002 | 138 | |
| 3 | 2008 | 112 | |
| 4 | 2018 | 98 | |
| 5 | 2008 | 76 | |
| 6 | 2017 | 70 | |
| 7 | 2002 | 69 | |
| 8 | 2023 | 53 | |
| 9 | 2009 | 50 | |
| 10 | 2022 | 47 | |
| 11 | 2005 | 45 | |
| 12 | 2018 | 36 | |
| 13 | 2008 | 35 | |
| 14 | 2006 | 31 | |
| 15 | 2022 | 30 | |
| 16 | 2008 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2022 | 26 | |
| 19 | 2002 | 26 | |
| 20 | 2021 | 25 |
About Daniel Lopez Codina
Daniel Lopez Codina is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition and Epidemiology, having authored 86 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Digital Imaging for Blood Diseases (8 papers), Tuberculosis Research and Epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Evolution and Genetic Dynamics (6 papers), Gene Regulatory Network Analysis (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Developmental Biology (43 citations), Biochemistry (96 citations), Aquatic Science (88 citations) and Infectious Diseases (194 citations). Daniel Lopez Codina has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Clara Prats, Joaquim Valls, Marta Ginovart Gisbert, Maria Teresa Mitjavila, P. Puig‐Parellada, María P. Sáiz, Juan Pablo Sánchez, Père-Joan Cardona, Susana Buxaderas and Josep Vives-Rego. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Frontiers in Public Health, Journal of Theoretical Biology and Complexity.
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.