Bernard E. Tuch
Impact in
-
- Diabetes Management and Research
- Surgery top 1%
- Pancreatic function and diabetes
- Tissue Engineering and Regenerative Medicine
- Xenotransplantation and immune response
Papers in
- Co-authors
- Vijayaganapathy Vaithilingam (20 shared papers)Kuldip Sidhu (12 shared papers)Lindy Williams (7 shared papers)John R. Turtle (16 shared papers)Gregory W. Keogh (3 shared papers)Jian Tu (7 shared papers)Wei Wu (1 shared paper)Robert Philips (1 shared paper)
- Journals
- Transplantation (16 papers)Diabetes (12 papers)Cell Transplantation (9 papers)Pancreas (7 papers)Stem Cells and Development (6 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Bernard E. Tuch
164 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 125
- Endocrinology, Diabetes and Metabolism 1.0k
- Surgery 2.3k
- Genetics 1.1k
- Transplantation 74
- Genetics 183
Countries citing papers authored by Bernard E. Tuch
This map shows the geographic impact of Bernard E. Tuch'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 Bernard E. Tuch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard E. Tuch more than expected).
Fields of papers citing papers by Bernard E. Tuch
This network shows the impact of papers produced by Bernard E. Tuch. 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 Bernard E. Tuch. The network helps show where Bernard E. Tuch may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernard E. Tuch, 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 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 263 | |
| 2 | 2010 | 223 | |
| 3 | 2011 | 121 | |
| 4 | 2000 | 101 | |
| 5 | 2009 | 100 | |
| 6 | 2011 | 97 | |
| 7 | 2017 | 74 | |
| 8 | 2005 | 72 | |
| 9 | 2017 | 67 | |
| 10 | 2002 | 65 | |
| 11 | 2005 | 60 | |
| 12 | 2005 | 59 | |
| 13 | 2007 | 54 | |
| 14 | Stem cells--a clinical update. | 2006 | 47 |
| 15 | 2006 | 47 | |
| 16 | 2007 | 45 | |
| 17 | 2011 | 44 | |
| 18 | 1986 | 44 | |
| 19 | 2003 | 42 | |
| 20 | 2019 | 42 |
About Bernard E. Tuch
Bernard E. Tuch is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 166 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (120 papers), Diabetes and associated disorders (55 papers), Diabetes Management and Research (42 papers), Pluripotent Stem Cells Research (22 papers), Xenotransplantation and immune response (19 papers), Renal Transplantation Outcomes and Treatments (11 papers), Birth, Development, and Health (9 papers) and 3D Printing in Biomedical Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (2.3k citations), Genetics (1.1k citations), Transplantation (74 citations) and Genetics (183 citations). Bernard E. Tuch has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Vijayaganapathy Vaithilingam, Kuldip Sidhu, Lindy Williams, John R. Turtle, Gregory W. Keogh, Jian Tu, Wei Wu, Robert Philips, Justin G. Lees and William D. Rawlinson. Their work appears in journals such as Transplantation, Diabetes, Cell Transplantation, Pancreas and Stem Cells and Development.
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.