Ivan Vacek
Impact in
-
- Diabetes Management and Research
- Surgery top 5%
- Pancreatic function and diabetes
- Tissue Engineering and Regenerative Medicine
- Xenotransplantation and immune response
Papers in
-
- Diabetes Management and Research 12
- Surgery 22
- Pancreatic function and diabetes 22
- Xenotransplantation and immune response 2
- Co-authors
- Anthony M. Sun (22 shared papers)David W. Zhou (2 shared papers)Yuxiu Sun (2 shared papers)Xiaochi Ma (1 shared paper)Isabella T. Tai (4 shared papers)Xiaojun Ma (2 shared papers)Zhao-Ping Lum (2 shared papers)George M. Healy (2 shared papers)
- Journals
- Transplantation (3 papers)Diabetes (3 papers)Xenotransplantation (3 papers)ASAIO Journal (2 papers)Artificial Organs (1 paper)
- Partner nations
- Canada
In The Last Decade
Ivan Vacek
22 papers receiving 910 citations
Peers
Comparison fields: 5 of 61
- Endocrinology, Diabetes and Metabolism 339
- Surgery 851
- Genetics 360
- Pharmacology 120
- Molecular Medicine 31
Countries citing papers authored by Ivan Vacek
This map shows the geographic impact of Ivan Vacek'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 Ivan Vacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Vacek more than expected).
Fields of papers citing papers by Ivan Vacek
This network shows the impact of papers produced by Ivan Vacek. 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 Ivan Vacek. The network helps show where Ivan Vacek may publish in the future.
Co-authors
The 17 scholars most cited alongside Ivan Vacek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 387 | |
| 2 | 1991 | 99 | |
| 3 | 1977 | 95 | |
| 4 | 1992 | 95 | |
| 5 | 1994 | 94 | |
| 6 | 1993 | 34 | |
| 7 | 1996 | 30 | |
| 8 | 1991 | 23 | |
| 9 | 1997 | 22 | |
| 10 | 1996 | 22 | |
| 11 | Normalization of diabetes in cynomolgus monkeys by xenotransplantation of microencapsulated porcine islets. | 1994 | 15 |
| 12 | 1992 | 15 | |
| 13 | 1998 | 14 | |
| 14 | 1995 | 9 | |
| 15 | Evaluation of immunoisolated insulin-secreting beta TC6-F7 cells as a bioartificial pancreas. | 1997 | 6 |
| 16 | 1977 | 6 | |
| 17 | 1996 | 5 | |
| 18 | 1998 | 4 | |
| 19 | 1999 | 4 | |
| 20 | 1992 | 3 |
About Ivan Vacek
Ivan Vacek is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Pharmacology and Food Science, having authored 22 papers that have together received 984 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes Management and Research (12 papers), Diabetes and associated disorders (12 papers), Cannabis and Cannabinoid Research (3 papers), Microencapsulation and Drying Processes (2 papers), Xenotransplantation and immune response (2 papers), Immune Cell Function and Interaction (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (339 citations), Surgery (851 citations), Genetics (360 citations), Pharmacology (120 citations) and Molecular Medicine (31 citations). Ivan Vacek has collaborated with scholars based in Canada. Frequent co-authors include Anthony M. Sun, David W. Zhou, Yuxiu Sun, Xiaochi Ma, Isabella T. Tai, Xiaojun Ma, Zhao-Ping Lum, George M. Healy, Bing Yang and Kenji Inaba. Their work appears in journals such as Transplantation, Diabetes, Xenotransplantation, ASAIO Journal and Artificial Organs.
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.