María‐Isabel Tejada
- Genetics top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Pathology and Forensic Medicine
- Cancer Research
- Co-authors
- Cristina Martínez-BouzasElena BeristainJosé-Ramón RuedaJavier BallesterosGemma LlortAna B. de la HozMontserrat MilàMiguel de la Hoya
- Topics
- Genetics and Neurodevelopmental Disorders (27 papers)Genomic variations and chromosomal abnormalities (19 papers)Autism Spectrum Disorder Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPEDIATRICSCochrane Database of Systematic Reviews
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
María‐Isabel Tejada
44 papers receiving 729 citations
Peers
Comparison fields: 5 of 64
- Genetics 581
- Molecular Biology 389
- Cognitive Neuroscience 184
- Pathology and Forensic Medicine 74
- Cancer Research 69
Countries citing papers authored by María‐Isabel Tejada
This map shows the geographic impact of María‐Isabel Tejada'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 María‐Isabel Tejada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María‐Isabel Tejada more than expected).
Fields of papers citing papers by María‐Isabel Tejada
This network shows the impact of papers produced by María‐Isabel Tejada. 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 María‐Isabel Tejada. The network helps show where María‐Isabel Tejada may publish in the future.
Co-authorship network of co-authors of María‐Isabel Tejada
This figure shows the co-authorship network connecting the top 25 collaborators of María‐Isabel Tejada. A scholar is included among the top collaborators of María‐Isabel Tejada 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 María‐Isabel Tejada. María‐Isabel Tejada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 18 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 25 | |
| 10 | 25 | |
| 11 | 4 | |
| 12 | 45 | |
| 13 | 16 | |
| 14 | 68 | |
| 15 | 48 | |
| 16 | 42 | |
| 17 | 38 | |
| 18 | 14 | |
| 19 | 19 | |
| 20 | 3 |
About María‐Isabel Tejada
María‐Isabel Tejada is a scholar working on Genetics, Cognitive Neuroscience and Cancer Research, having authored 46 papers that have together received 758 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (27 papers), Genomic variations and chromosomal abnormalities (19 papers) and Autism Spectrum Disorder Research (12 papers). The work is most often cited by research in Genetics (581 citations), Cognitive Neuroscience (184 citations) and Molecular Biology (389 citations). María‐Isabel Tejada has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Cristina Martínez-Bouzas, Elena Beristain, José-Ramón Rueda, Javier Ballesteros, Gemma Llort, Ana B. de la Hoz, Montserrat Milà, Miguel de la Hoya, Feliciano J. Ramos and Laia Rodríguez‐Revenga. Their work appears in journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Cochrane Database of Systematic Reviews.
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.