Juan Domínguez‐Bendala
- Surgery top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 5%
- Co-authors
- Camillo RicordiLuca InverardiRicardo L. PastoriDagmar KleinSilvia Álvarez-CubelaGiacomo LanzoniMirza Muhammad Fahd QadirAntonello Pileggi
- Topics
- Pancreatic function and diabetes (41 papers)Pluripotent Stem Cells Research (20 papers)Diabetes Management and Research (9 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Juan Domínguez‐Bendala
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 108
- Surgery 1.4k
- Molecular Biology 843
- Genetics 509
- Endocrinology, Diabetes and Metabolism 420
- Cancer Research 317
Countries citing papers authored by Juan Domínguez‐Bendala
This map shows the geographic impact of Juan Domínguez‐Bendala'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 Juan Domínguez‐Bendala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Domínguez‐Bendala more than expected).
Fields of papers citing papers by Juan Domínguez‐Bendala
This network shows the impact of papers produced by Juan Domínguez‐Bendala. 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 Juan Domínguez‐Bendala. The network helps show where Juan Domínguez‐Bendala may publish in the future.
Co-authorship network of co-authors of Juan Domínguez‐Bendala
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Domínguez‐Bendala. A scholar is included among the top collaborators of Juan Domínguez‐Bendala 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 Juan Domínguez‐Bendala. Juan Domínguez‐Bendala 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 | 5 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 31 | |
| 7 | 60 | |
| 8 | 28 | |
| 9 | 32 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 111 | |
| 13 | 25 | |
| 14 | 11 | |
| 15 | 226 | |
| 16 | 23 | |
| 17 | 44 | |
| 18 | 31 | |
| 19 | 15 | |
| 20 | 5 |
About Juan Domínguez‐Bendala
Juan Domínguez‐Bendala is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (41 papers), Pluripotent Stem Cells Research (20 papers) and Diabetes Management and Research (9 papers). The work is most often cited by research in Surgery (1.4k citations), Hepatology (208 citations) and Endocrinology, Diabetes and Metabolism (420 citations). Juan Domínguez‐Bendala has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Camillo Ricordi, Luca Inverardi, Ricardo L. Pastori, Dagmar Klein, Silvia Álvarez-Cubela, Giacomo Lanzoni, Mirza Muhammad Fahd Qadir, Antonello Pileggi, Christopher A. Fraker and Samuel Rosero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.