Maria E. Wilson
Impact in
-
- Diabetes Management and Research
- Genetics top 5%
- Diabetes and associated disorders
- Genetics and Neurodevelopmental Disorders
Papers in
- Co-authors
- Michael S. German (3 shared papers)David Scheel (1 shared paper)Jenne M. Westberry (2 shared papers)Katherine Yang (2 shared papers)Francis C. Lynn (2 shared papers)Nada Nekrep (1 shared paper)Julie Kalamaras (1 shared paper)Kevin Docherty (4 shared papers)
- Journals
- Journal of Neuroendocrinology (2 papers)Mechanisms of Development (2 papers)Proceedings of the National Academy of Sciences (2 papers)Diabetes (2 papers)European Journal of Biochemistry (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Maria E. Wilson
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 240
- Genetics 419
- Surgery 593
- Molecular Biology 517
- Endocrine and Autonomic Systems 44
Countries citing papers authored by Maria E. Wilson
This map shows the geographic impact of Maria E. Wilson'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 Maria E. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria E. Wilson more than expected).
Fields of papers citing papers by Maria E. Wilson
This network shows the impact of papers produced by Maria E. Wilson. 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 Maria E. Wilson. The network helps show where Maria E. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria E. Wilson, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 279 | |
| 2 | 2007 | 196 | |
| 3 | 2005 | 100 | |
| 4 | 2008 | 88 | |
| 5 | 2002 | 78 | |
| 6 | 2020 | 77 | |
| 7 | 2023 | 40 | |
| 8 | 2009 | 36 | |
| 9 | 2021 | 34 | |
| 10 | 2018 | 30 | |
| 11 | 2005 | 30 | |
| 12 | 1998 | 29 | |
| 13 | 2018 | 27 | |
| 14 | 1999 | 25 | |
| 15 | 1995 | 23 | |
| 16 | 2013 | 12 | |
| 17 | 1995 | 11 | |
| 18 | 1995 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 1996 | 8 |
About Maria E. Wilson
Maria E. Wilson is a scholar working on Genetics, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Genetics and Neurodevelopmental Disorders (4 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Research (3 papers), Estrogen and related hormone effects (3 papers), Diabetes Treatment and Management (2 papers), Congenital heart defects research (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (240 citations), Genetics (419 citations), Surgery (593 citations), Molecular Biology (517 citations) and Endocrine and Autonomic Systems (44 citations). Maria E. Wilson has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael S. German, David Scheel, Jenne M. Westberry, Katherine Yang, Francis C. Lynn, Nada Nekrep, Julie Kalamaras, Kevin Docherty, Vasso Episkopou and Caroline Mrejen. Their work appears in journals such as Journal of Neuroendocrinology, Mechanisms of Development, Proceedings of the National Academy of Sciences, Diabetes and European Journal of Biochemistry.
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.