M.A. Sáenz
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Plant Science top 10%
- Mycotoxins in Agriculture and Food
- Wheat and Barley Genetics and Pathology
Papers in
-
- Carcinogens and Genotoxicity Assessment 5
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- Effects and risks of endocrine disrupting chemicals 3
- Toxic Organic Pollutants Impact 2
- Co-authors
- C. Magnoli (3 shared papers)A. Dalcero (3 shared papers)S.M. Chiacchiera (3 shared papers)R. D. Miazzo (2 shared papers)C.A.R. Rosa (2 shared papers)M.L. Bernal (6 shared papers)B. Sinués (7 shared papers)Eulógio Carlos Queiroz de Carvalho (1 shared paper)
In The Last Decade
M.A. Sáenz
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 74
- Animal Science and Zoology 135
- Plant Science 256
- Insect Science 68
- Chemical Health and Safety 3
- Cancer Research 68
Countries citing papers authored by M.A. Sáenz
This map shows the geographic impact of M.A. Sáenz'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 M.A. Sáenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Sáenz more than expected).
Fields of papers citing papers by M.A. Sáenz
This network shows the impact of papers produced by M.A. Sáenz. 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 M.A. Sáenz. The network helps show where M.A. Sáenz may publish in the future.
Co-authors
The 20 scholars most cited alongside M.A. Sáenz, 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 | 2000 | 143 | |
| 2 | 2001 | 134 | |
| 3 | Five caffeine metabolite ratios to measure tobacco-induced CYP1A2 activity and their relationships with urinary mutagenicity and urine flow. | 1999 | 30 |
| 4 | 1999 | 27 | |
| 5 | 1991 | 25 | |
| 6 | 1991 | 19 | |
| 7 | Urinary mutagenicity and N-acetylation phenotype in textile industry workers exposed to arylamines. | 1992 | 17 |
| 8 | 1995 | 13 | |
| 9 | 1994 | 4 | |
| 10 | 1992 | 1 |
About M.A. Sáenz
M.A. Sáenz is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Plant Science, Pharmacology and Food Science, having authored 10 papers that have together received 413 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Mycotoxins in Agriculture and Food (3 papers), Insect and Pesticide Research (2 papers), Toxic Organic Pollutants Impact (2 papers), Pesticide Residue Analysis and Safety (2 papers), Wheat and Barley Genetics and Pathology (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Animal Science and Zoology (135 citations), Plant Science (256 citations), Insect Science (68 citations), Chemical Health and Safety (3 citations) and Cancer Research (68 citations). M.A. Sáenz has collaborated with scholars based in Spain, Argentina and Brazil. Frequent co-authors include C. Magnoli, A. Dalcero, S.M. Chiacchiera, R. D. Miazzo, C.A.R. Rosa, M.L. Bernal, B. Sinués, Eulógio Carlos Queiroz de Carvalho, Susana Ferrero and Mario A. Salvano. Their work appears in journals such as Poultry Science, Toxicology and Applied Pharmacology, Mycopathologia, Journal of Toxicology and Environmental Health and Mutation Research/Environmental Mutagenesis and Related Subjects.
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.