Antonio Chana
- Health, Toxicology and Mutagenesis top 5%
- Organic Chemistry
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Co-authors
- Bernardo HerradónEmilio BenfenatiJosé M. NavasAlessandra RoncaglioniHelmut SegnerElena BorianiChunyan ZhaoJuan Z. Dávalos
- Topics
- Computational Drug Discovery Methods (8 papers)Toxic Organic Pollutants Impact (5 papers)Analytical Chemistry and Chromatography (4 papers)
In The Last Decade
Antonio Chana
27 papers receiving 542 citations
Peers
Comparison fields: 5 of 87
- Health, Toxicology and Mutagenesis 148
- Organic Chemistry 129
- Molecular Biology 117
- Computational Theory and Mathematics 110
- Spectroscopy 88
Countries citing papers authored by Antonio Chana
This map shows the geographic impact of Antonio Chana'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 Antonio Chana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Chana more than expected).
Fields of papers citing papers by Antonio Chana
This network shows the impact of papers produced by Antonio Chana. 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 Antonio Chana. The network helps show where Antonio Chana may publish in the future.
Co-authorship network of co-authors of Antonio Chana
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Chana. A scholar is included among the top collaborators of Antonio Chana 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 Antonio Chana. Antonio Chana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 42 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 90 | |
| 6 | 5 | |
| 7 | A protocol for quantitative structure activity relationship (QSAR) for regulatory purposes: the example of DEMETRA. | 2 |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 33 | |
| 11 | 34 | |
| 12 | 14 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 21 | |
| 17 | 63 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 3 |
About Antonio Chana
Antonio Chana is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 27 papers that have together received 556 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Toxic Organic Pollutants Impact (5 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (148 citations), Computational Theory and Mathematics (110 citations) and Pollution (78 citations). Antonio Chana has collaborated with scholars based in Spain, Italy and Argentina. Frequent co-authors include Bernardo Herradón, Emilio Benfenati, José M. Navas, Alessandra Roncaglioni, Helmut Segner, Elena Boriani, Chunyan Zhao, Juan Z. Dávalos, María José González and Mercedes de Frutos. Their work appears in journals such as Journal of the American Chemical Society, Environmental Science & Technology and Journal of Agricultural and Food Chemistry.
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.