Jesús Espinal‐Enríquez
- Molecular Biology
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Computational Theory and Mathematics top 5%
- Oncology
- Co-authors
- Enrique Hernández–LemusGuillermo de Anda‐JáureguiMiguel Angel García-CamposCristóbal FresnoDiana Drago-GarcíaHernán LarraldeSantiago Sandoval‐MottaCarmen Mejía
- Topics
- Bioinformatics and Genomic Networks (30 papers)Gene expression and cancer classification (20 papers)Gene Regulatory Network Analysis (14 papers)
- Partner nations
- MexicoUnited StatesChile
In The Last Decade
Jesús Espinal‐Enríquez
54 papers receiving 872 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 672
- Cancer Research 163
- Pulmonary and Respiratory Medicine 115
- Computational Theory and Mathematics 114
- Oncology 89
Countries citing papers authored by Jesús Espinal‐Enríquez
This map shows the geographic impact of Jesús Espinal‐Enríquez'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 Jesús Espinal‐Enríquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Espinal‐Enríquez more than expected).
Fields of papers citing papers by Jesús Espinal‐Enríquez
This network shows the impact of papers produced by Jesús Espinal‐Enríquez. 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 Jesús Espinal‐Enríquez. The network helps show where Jesús Espinal‐Enríquez may publish in the future.
Co-authorship network of co-authors of Jesús Espinal‐Enríquez
This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Espinal‐Enríquez. A scholar is included among the top collaborators of Jesús Espinal‐Enríquez 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 Jesús Espinal‐Enríquez. Jesús Espinal‐Enríquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 20 | |
| 10 | 24 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 25 | |
| 16 | 24 | |
| 17 | 15 | |
| 18 | 20 | |
| 19 | 27 | |
| 20 | 33 |
About Jesús Espinal‐Enríquez
Jesús Espinal‐Enríquez is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics, having authored 58 papers that have together received 882 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (20 papers) and Gene Regulatory Network Analysis (14 papers). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (672 citations) and Computational Theory and Mathematics (114 citations). Jesús Espinal‐Enríquez has collaborated with scholars based in Mexico, United States and Chile. Frequent co-authors include Enrique Hernández–Lemus, Guillermo de Anda‐Jáuregui, Miguel Angel García-Campos, Cristóbal Fresno, Diana Drago-García, Hernán Larralde, Santiago Sandoval‐Motta, Carmen Mejía, Rodrigo García-Herrera and Gustavo Martı́nez-Mekler. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.