Karina Ramírez
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Food Science 12
- Salmonella and Campylobacter epidemiology 6
- Co-authors
- Marcela F. Pasetti (11 shared papers)Nohelia Castro‐del Campo (5 shared papers)Karen V. Pineda‐Hidalgo (2 shared papers)Jesús Gabriel Rangel‐Peraza (5 shared papers)Hiromi Yanagisawa (4 shared papers)Myron M. Levine (6 shared papers)Yoshito Yamashiro (3 shared papers)Kazuaki NAGAYAMA (2 shared papers)
- Journals
- Letters in Applied Microbiology (2 papers)LWT (2 papers)The Journal of Immunology (2 papers)PLoS ONE (2 papers)CyTA - Journal of Food (1 paper)
- Partner nations
- MexicoUnited StatesJapan
In The Last Decade
Karina Ramírez
44 papers receiving 857 citations
Peers
Comparison fields: 5 of 103
- Endocrinology 73
- Infectious Diseases 176
- Immunology 161
- Food Science 128
- Microbiology 40
Countries citing papers authored by Karina Ramírez
This map shows the geographic impact of Karina Ramírez'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 Karina Ramírez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karina Ramírez more than expected).
Fields of papers citing papers by Karina Ramírez
This network shows the impact of papers produced by Karina Ramírez. 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 Karina Ramírez. The network helps show where Karina Ramírez may publish in the future.
Co-authors
The 25 scholars most cited alongside Karina Ramírez, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2009 | 88 | |
| 3 | 2011 | 80 | |
| 4 | 2018 | 65 | |
| 5 | 2012 | 64 | |
| 6 | 2006 | 45 | |
| 7 | 2020 | 45 | |
| 8 | 2018 | 42 | |
| 9 | 2004 | 29 | |
| 10 | 2007 | 27 | |
| 11 | 2011 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 2009 | 21 | |
| 14 | 2009 | 21 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2018 | 11 | |
| 20 | 2023 | 11 |
About Karina Ramírez
Karina Ramírez is a scholar working on Food Science, Molecular Biology, Infectious Diseases, Epidemiology and Pharmacology, having authored 47 papers that have together received 890 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Respiratory viral infections research (6 papers), Virology and Viral Diseases (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Coffee research and impacts (4 papers), Vibrio bacteria research studies (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Endocrinology (73 citations), Infectious Diseases (176 citations), Immunology (161 citations), Food Science (128 citations) and Microbiology (40 citations). Karina Ramírez has collaborated with scholars based in Mexico, United States and Japan. Frequent co-authors include Marcela F. Pasetti, Nohelia Castro‐del Campo, Karen V. Pineda‐Hidalgo, Jesús Gabriel Rangel‐Peraza, Hiromi Yanagisawa, Myron M. Levine, Yoshito Yamashiro, Kazuaki NAGAYAMA, Jeffrey B. Ulmer and Eileen M. Barry. Their work appears in journals such as Letters in Applied Microbiology, LWT, The Journal of Immunology, PLoS ONE and CyTA - Journal of Food.
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.