M. L. Celma
Impact in
- Epidemiology top 5%
- Virology and Viral Diseases
- Respiratory viral infections research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 12
- Virology and Viral Diseases 11
- Respiratory viral infections research 8
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 2
- Co-authors
- D. Vázquez (3 shared papers)R.E. Monro (3 shared papers)Rafael Fernández-Muñoz (10 shared papers)Juan Carabaña (5 shared papers)David Vázquez (2 shared papers)Robin E. Monro (1 shared paper)José M. Casasnovas (3 shared papers)K. Baczko (2 shared papers)
- Journals
- Journal of General Virology (4 papers)Journal of Virology (2 papers)FEBS Letters (2 papers)Virus Research (2 papers)The Journal of Infectious Diseases (1 paper)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
M. L. Celma
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Epidemiology 742
- Infectious Diseases 268
- Virology 64
- Immunology 208
- Animal Science and Zoology 99
Countries citing papers authored by M. L. Celma
This map shows the geographic impact of M. L. Celma'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 M. L. Celma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. L. Celma more than expected).
Fields of papers citing papers by M. L. Celma
This network shows the impact of papers produced by M. L. Celma. 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 M. L. Celma. The network helps show where M. L. Celma may publish in the future.
Co-authors
The 25 scholars most cited alongside M. L. Celma, 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 | 1997 | 158 | |
| 2 | 1996 | 152 | |
| 3 | 1996 | 144 | |
| 4 | 1995 | 126 | |
| 5 | 1970 | 107 | |
| 6 | 2009 | 102 | |
| 7 | 1969 | 95 | |
| 8 | 1971 | 72 | |
| 9 | 1969 | 66 | |
| 10 | 1998 | 40 | |
| 11 | 2014 | 20 | |
| 12 | 1987 | 18 | |
| 13 | 2006 | 16 | |
| 14 | 1992 | 15 | |
| 15 | 1972 | 12 | |
| 16 | 1992 | 8 | |
| 17 | 2017 | 6 | |
| 18 | 1999 | 1 | |
| 19 | Hepatitis C virus infection in kidney transplant patients. | 1992 | 1 |
About M. L. Celma
M. L. Celma is a scholar working on Epidemiology, Molecular Biology, Immunology, Oncology and Genetics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virology and Viral Diseases (11 papers), Respiratory viral infections research (8 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Peptidase Inhibition and Analysis (4 papers), RNA and protein synthesis mechanisms (4 papers), Virus-based gene therapy research (3 papers), RNA modifications and cancer (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Epidemiology (742 citations), Infectious Diseases (268 citations), Virology (64 citations), Immunology (208 citations) and Animal Science and Zoology (99 citations). M. L. Celma has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include D. Vázquez, R.E. Monro, Rafael Fernández-Muñoz, Juan Carabaña, David Vázquez, Robin E. Monro, José M. Casasnovas, K. Baczko, B. K. Rima and Volker ter Meulen. Their work appears in journals such as Journal of General Virology, Journal of Virology, FEBS Letters, Virus Research and The Journal of Infectious Diseases.
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.