Ilse Weets
Impact in
-
- Diabetes Management and Research
- Genetics top 1%
- Diabetes and associated disorders
Papers in
- Genetics 50
- Diabetes and associated disorders 50
-
- Diabetes Management and Research 34
- Diabetes Management and Education 4
- Diabetes Treatment and Management 3
- Co-authors
- Frans Gorus (51 shared papers)Koen Luyckx (22 shared papers)Daniël Pipeleers (33 shared papers)Bart Keymeulen (27 shared papers)Philip Moons (16 shared papers)Chantal Mathieu (19 shared papers)Katelijn Decochez (23 shared papers)Christophe De Block (10 shared papers)
- Journals
- Diabetologia (16 papers)Diabetes Care (12 papers)Human Immunology (5 papers)The Journal of Clinical Endocrinology & Metabolism (5 papers)Diabetes Research and Clinical Practice (3 papers)
- Partner nations
- BelgiumUnited StatesSweden
In The Last Decade
Ilse Weets
92 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 106
- Endocrinology, Diabetes and Metabolism 904
- Genetics 1.2k
- Speech and Hearing 129
- Surgery 648
- Immunology 177
Countries citing papers authored by Ilse Weets
This map shows the geographic impact of Ilse Weets'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 Ilse Weets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilse Weets more than expected).
Fields of papers citing papers by Ilse Weets
This network shows the impact of papers produced by Ilse Weets. 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 Ilse Weets. The network helps show where Ilse Weets may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilse Weets, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 173 | |
| 2 | 2008 | 113 | |
| 3 | 2016 | 105 | |
| 4 | 2000 | 95 | |
| 5 | 2002 | 94 | |
| 6 | 2013 | 77 | |
| 7 | 2002 | 75 | |
| 8 | 2009 | 72 | |
| 9 | 2013 | 72 | |
| 10 | 2011 | 66 | |
| 11 | 2005 | 66 | |
| 12 | 2010 | 62 | |
| 13 | 2017 | 61 | |
| 14 | 2017 | 56 | |
| 15 | 2000 | 51 | |
| 16 | 2001 | 46 | |
| 17 | 2017 | 44 | |
| 18 | 2014 | 38 | |
| 19 | 2005 | 37 | |
| 20 | 2010 | 36 |
About Ilse Weets
Ilse Weets is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Molecular Biology, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (50 papers), Diabetes Management and Research (34 papers), Pancreatic function and diabetes (19 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Diabetes Management and Education (4 papers), Optimism, Hope, and Well-being (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (904 citations), Genetics (1.2k citations), Speech and Hearing (129 citations), Surgery (648 citations) and Immunology (177 citations). Ilse Weets has collaborated with scholars based in Belgium, United States and Sweden. Frequent co-authors include Frans Gorus, Koen Luyckx, Daniël Pipeleers, Bart Keymeulen, Philip Moons, Chantal Mathieu, Katelijn Decochez, Christophe De Block, Jessica Rassart and Leen Oris. Their work appears in journals such as Diabetologia, Diabetes Care, Human Immunology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Research and Clinical Practice.
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.