José Castresana
- Molecular Biology top 0.5%
- Ecology top 0.2%
- Plant Science top 0.5%
- Genetics top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Co-authors
- Gerard TalaveraMatti SarasteFélix M. GoñiArturo MugaJosé Luis R. ArrondoM. Mar AlbàMathias LübbenVíctor Soria‐Carrasco
- Topics
- Genomics and Phylogenetic Studies (28 papers)Genetic diversity and population structure (25 papers)Extraction and Separation Processes (15 papers)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
José Castresana
87 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 8.5k
- Ecology 4.7k
- Plant Science 3.5k
- Genetics 3.1k
- Ecology, Evolution, Behavior and Systematics 2.9k
Countries citing papers authored by José Castresana
This map shows the geographic impact of José Castresana'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 José Castresana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Castresana more than expected).
Fields of papers citing papers by José Castresana
This network shows the impact of papers produced by José Castresana. 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 José Castresana. The network helps show where José Castresana may publish in the future.
Co-authorship network of co-authors of José Castresana
This figure shows the co-authorship network connecting the top 25 collaborators of José Castresana. A scholar is included among the top collaborators of José Castresana based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José Castresana. José Castresana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 17 | |
| 5 | 4 | |
| 6 | 40 | |
| 7 | 36 | |
| 8 | Improvement of Phylogenies after Removing Divergent and Ambiguously Aligned Blocks from Protein Sequence Alignmentsbreakdown → | 4203 |
| 9 | 68 | |
| 10 | 254 | |
| 11 | 131 | |
| 12 | 47 | |
| 13 | 42 | |
| 14 | 154 | |
| 15 | 65 | |
| 16 | 128 | |
| 17 | 110 | |
| 18 | Quantitative studies of the structure of proteins in solution by fourier-transform infrared spectroscopybreakdown → | 727 |
| 19 | 22 | |
| 20 | 10 |
About José Castresana
José Castresana is a scholar working on Filtration and Separation, Ecological Modeling and Genetics, having authored 89 papers that have together received 16.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Genetic diversity and population structure (25 papers) and Extraction and Separation Processes (15 papers). The work is most often cited by research in Ecology (4.7k citations), Ecology, Evolution, Behavior and Systematics (2.9k citations) and Paleontology (1.1k citations). José Castresana has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Gerard Talavera, Matti Saraste, Félix M. Goñi, Arturo Muga, José Luis R. Arrondo, M. Mar Albà, Mathias Lübben, Víctor Soria‐Carrasco, Svante Pääbo and Javier Igea. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.
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.