Juan S. Danobeitia
- Surgery top 10%
- Transplantation top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Molecular Biology
- Co-authors
- Luis A. FernandezArjang DjamaliMatthew S. HansonPeter J. ChlebeckLaura J. ZiturTiffany ZensJoyce C. NilandTracey Stiller
- Topics
- Pancreatic function and diabetes (10 papers)Organ Transplantation Techniques and Outcomes (9 papers)Renal Transplantation Outcomes and Treatments (7 papers)
- Cited by
- TransplantationNephrologySurgery
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Cellular Physiology
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Juan S. Danobeitia
23 papers receiving 458 citations
Peers
Comparison fields: 5 of 63
- Surgery 289
- Transplantation 116
- Endocrinology, Diabetes and Metabolism 98
- Genetics 96
- Molecular Biology 81
Countries citing papers authored by Juan S. Danobeitia
This map shows the geographic impact of Juan S. Danobeitia'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 S. Danobeitia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan S. Danobeitia more than expected).
Fields of papers citing papers by Juan S. Danobeitia
This network shows the impact of papers produced by Juan S. Danobeitia. 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 S. Danobeitia. The network helps show where Juan S. Danobeitia may publish in the future.
Co-authorship network of co-authors of Juan S. Danobeitia
This figure shows the co-authorship network connecting the top 25 collaborators of Juan S. Danobeitia. A scholar is included among the top collaborators of Juan S. Danobeitia 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 S. Danobeitia. Juan S. Danobeitia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 83 | |
| 6 | 3 | |
| 7 | 39 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 82 | |
| 11 | 12 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 19 | |
| 17 | 34 | |
| 18 | 55 | |
| 19 | 48 | |
| 20 | 12 |
About Juan S. Danobeitia
Juan S. Danobeitia is a scholar working on Transplantation, Surgery and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 468 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Renal Transplantation Outcomes and Treatments (7 papers). The work is most often cited by research in Transplantation (116 citations), Nephrology (53 citations) and Surgery (289 citations). Juan S. Danobeitia has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Luis A. Fernandez, Arjang Djamali, Matthew S. Hanson, Peter J. Chlebeck, Laura J. Zitur, Tiffany Zens, Joyce C. Niland, Tracey Stiller, John S. Kaddis and Jamie M. Sperger. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cellular Physiology.
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.