María José Ojeda
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Materials Chemistry
- Pharmacology top 5%
- Organic Chemistry
- Co-authors
- Gerard PujadasSantiago Garcı́a-VallvéAdrià Cereto‐MassaguéMiquel MuleroCristina VallsAleix GimenoRaúl Beltrán‐DebónSarah Tomas‐Hernández
- Topics
- Computational Drug Discovery Methods (7 papers)Peptidase Inhibition and Analysis (4 papers)Diabetes Treatment and Management (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Agricultural and Food Chemistry
- Partner nations
- SpainChileUnited States
In The Last Decade
María José Ojeda
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 778
- Molecular Biology 677
- Materials Chemistry 244
- Pharmacology 178
- Organic Chemistry 143
Countries citing papers authored by María José Ojeda
This map shows the geographic impact of María José Ojeda'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 José Ojeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María José Ojeda more than expected).
Fields of papers citing papers by María José Ojeda
This network shows the impact of papers produced by María José Ojeda. 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 José Ojeda. The network helps show where María José Ojeda may publish in the future.
Co-authorship network of co-authors of María José Ojeda
This figure shows the co-authorship network connecting the top 25 collaborators of María José Ojeda. A scholar is included among the top collaborators of María José Ojeda 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 José Ojeda. María José Ojeda 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 | 59 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | Intervención narrativa socioemocional para disminuir síntomas depresivos y ansiosos en adolescentes | 1 |
| 7 | 120 | |
| 8 | 183 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 39 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 105 | |
| 16 | Molecular fingerprint similarity search in virtual screeningbreakdown → | 552 |
| 17 | 38 | |
| 18 | 39 | |
| 19 | 18 | |
| 20 | Comparison of Florida Hispanic and non-Hispanic Caucasian women in their health beliefs related to breast cancer and health locus of control. | 27 |
About María José Ojeda
María José Ojeda is a scholar working on Computational Theory and Mathematics, Toxicology and Oncology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Peptidase Inhibition and Analysis (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Computational Theory and Mathematics (778 citations), Pharmacology (178 citations) and Molecular Biology (677 citations). María José Ojeda has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Gerard Pujadas, Santiago Garcı́a-Vallvé, Adrià Cereto‐Massagué, Miquel Mulero, Cristina Valls, Aleix Gimeno, Raúl Beltrán‐Debón, Sarah Tomas‐Hernández, Lluı́s Arola and Susan C. McMillan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.