Cristina Lanzas
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 13
- Ruminant Nutrition and Digestive Physiology 9
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 14
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 11
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 12
- Viral gastroenteritis research and epidemiology 8
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- Salmonella and Campylobacter epidemiology 11
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- Microscopic Colitis 9
Cristina Lanzas
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Agronomy and Crop Science 458
- Molecular Medicine 144
- Modeling and Simulation 109
- Infectious Diseases 400
- Applied Microbiology and Biotechnology 39
Countries citing papers authored by Cristina Lanzas
This map shows the geographic impact of Cristina Lanzas'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 Cristina Lanzas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Lanzas more than expected).
Fields of papers citing papers by Cristina Lanzas
This network shows the impact of papers produced by Cristina Lanzas. 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 Cristina Lanzas. The network helps show where Cristina Lanzas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cristina Lanzas, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 4 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2014 | 19 | |
| 14 | 2013 | 34 | |
| 15 | 2010 | 34 | |
| 16 | 2009 | 26 | |
| 17 | 2009 | 18 | |
| 18 | 2008 | 27 | |
| 19 | 2007 | 33 | |
| 20 | Evaluation of CNCPS predictions of milk production of dairy cows fed alfalfa silage | 2003 | 5 |
About Cristina Lanzas
Cristina Lanzas is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Modeling and Simulation, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Animal Disease Management and Epidemiology (13 papers), Clostridium difficile and Clostridium perfringens research (12 papers), COVID-19 epidemiological studies (11 papers), Salmonella and Campylobacter epidemiology (11 papers), Microscopic Colitis (9 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Viral gastroenteritis research and epidemiology (8 papers). The work is most often cited by research in Agronomy and Crop Science (458 citations), Molecular Medicine (144 citations) and Modeling and Simulation (109 citations). Cristina Lanzas has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Yrjö T. Gröhn, D. G. Fox, Luís O Tedeschi, Seongwon Seo, Erik R. Dubberke, Zhao Lu, Shi Chen, Michael W. Sanderson, Brad J. White and C.J. Sniffen. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Nature Reviews Microbiology.
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.