Francisco M. Codoñer
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Virology top 2%
- HIV Research and Treatment
Papers in
- Virology 11
- HIV Research and Treatment 11
-
- HIV/AIDS drug development and treatment 10
- HIV/AIDS Research and Interventions 9
- Co-authors
- Daniel RamónJuan F. Martínez‐BlanchSantiago F. ElenaMario A. FaresFelipe VilellaCarlos SimónPilar AlamáDiana Valbuena
- Journals
- Scientific Reports (4 papers)PLoS ONE (4 papers)BMC Evolutionary Biology (3 papers)Evolution (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- SpainGermanyUnited States
In The Last Decade
Francisco M. Codoñer
56 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Microbiology 316
- Virology 226
- Reproductive Medicine 284
- Endocrinology 170
- Immunology 673
Countries citing papers authored by Francisco M. Codoñer
This map shows the geographic impact of Francisco M. Codoñer'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 Francisco M. Codoñer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco M. Codoñer more than expected).
Fields of papers citing papers by Francisco M. Codoñer
This network shows the impact of papers produced by Francisco M. Codoñer. 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 Francisco M. Codoñer. The network helps show where Francisco M. Codoñer may publish in the future.
Co-authors
The 25 scholars most cited alongside Francisco M. Codoñer, 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 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 18 | |
| 5 | 2019 | 55 | |
| 6 | Deciphering the role of vaginal and sperm metagenome in the success of artificial insemination in sheep | 2018 | 1 |
| 7 | 2017 | 28 | |
| 8 | 2017 | 7 | |
| 9 | 2017 | 15 | |
| 10 | Evidence that the endometrial microbiota has an effect on implantation success or failure Hit paper breakdown → | 2016 | 592 |
| 11 | 2014 | 14 | |
| 12 | 2013 | 50 | |
| 13 | 2013 | 10 | |
| 14 | 2011 | 32 | |
| 15 | 2011 | 44 | |
| 16 | 2010 | 27 | |
| 17 | 2009 | 23 | |
| 18 | 2008 | 10 | |
| 19 | 2006 | 136 | |
| 20 | 2005 | 21 |
About Francisco M. Codoñer
Francisco M. Codoñer is a scholar working on Virology, Infectious Diseases, Endocrinology, Food Science and Microbiology, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (10 papers), Probiotics and Fermented Foods (10 papers), HIV/AIDS Research and Interventions (9 papers), Gut microbiota and health (8 papers), Plant Virus Research Studies (7 papers), Evolution and Genetic Dynamics (7 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Microbiology (316 citations), Virology (226 citations), Reproductive Medicine (284 citations), Endocrinology (170 citations) and Immunology (673 citations). Francisco M. Codoñer has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Daniel Ramón, Juan F. Martínez‐Blanch, Santiago F. Elena, Mario A. Fares, Felipe Vilella, Carlos Simón, Pilar Alamá, Diana Valbuena, Roberto Alonso and Inmaculada Moreno. Their work appears in journals such as Scientific Reports, PLoS ONE, BMC Evolutionary Biology, Evolution and PLoS Pathogens.
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.