Cristina Machón
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 3
- Endocrinology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 18
- Ecology top 5%
- Bacteriophages and microbial interactions 11
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- DNA Repair Mechanisms 6
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 3
- Bacillus and Francisella bacterial research 2
- DNA and Nucleic Acid Chemistry 2
- Co-authors
- Fernando de la CruzPanos SoultanasMatxalen LlosaCarolina Elvira CésarHoura MerrikhAlan D. GrossmanMiquel CollManuel Espinosa
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (4 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Cristina Machón
23 papers receiving 801 citations
Peers
Comparison fields: 5 of 76
- Molecular Medicine 168
- Endocrinology 101
- Genetics 364
- Ecology 276
- Molecular Biology 498
Countries citing papers authored by Cristina Machón
This map shows the geographic impact of Cristina Machón'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 Machón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Machón more than expected).
Fields of papers citing papers by Cristina Machón
This network shows the impact of papers produced by Cristina Machón. 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 Machón. The network helps show where Cristina Machón may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cristina Machón, 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 | 2026 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 69 | |
| 6 | 2016 | 13 | |
| 7 | 2014 | 14 | |
| 8 | 2012 | 31 | |
| 9 | 2012 | 16 | |
| 10 | 2011 | 142 | |
| 11 | 2011 | 13 | |
| 12 | 2010 | 14 | |
| 13 | 2010 | 13 | |
| 14 | 2009 | 10 | |
| 15 | 2009 | 5 | |
| 16 | 2008 | 35 | |
| 17 | 2007 | 30 | |
| 18 | 2006 | 31 | |
| 19 | 2005 | 94 | |
| 20 | 2005 | 100 |
About Cristina Machón
Cristina Machón is a scholar working on Structural Biology, Genetics and Molecular Medicine, having authored 24 papers that have together received 810 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Bacteriophages and microbial interactions (11 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bacillus and Francisella bacterial research (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Molecular Medicine (168 citations), Endocrinology (101 citations) and Genetics (364 citations). Cristina Machón has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Fernando de la Cruz, Panos Soultanas, Matxalen Llosa, Carolina Elvira César, Houra Merrikh, Alan D. Grossman, Miquel Coll, Manuel Espinosa, Gloria del Solar and José Á. Ruiz-Masó. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.