Margit MacDougall
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
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- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 4
- Metabolism, Diabetes, and Cancer 3
- Chemical Synthesis and Analysis 2
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- Diabetes Treatment and Management 7
- Co-authors
- James N. Livingston (4 shared papers)Stephanie Yung (2 shared papers)Clark Q. Pan (2 shared papers)Thomas H. Claus (1 shared paper)Over Cabrera (1 shared paper)William J. Zavadoski (1 shared paper)Jianxin Yang (1 shared paper)William R. Schoen (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Biological Chemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)BMC Genomics (1 paper)mAbs (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Margit MacDougall
12 papers receiving 268 citations
Peers
Comparison fields: 5 of 57
- Endocrinology, Diabetes and Metabolism 140
- Cellular and Molecular Neuroscience 65
- Surgery 111
- Molecular Biology 161
- Oncology 33
Countries citing papers authored by Margit MacDougall
This map shows the geographic impact of Margit MacDougall'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 Margit MacDougall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit MacDougall more than expected).
Fields of papers citing papers by Margit MacDougall
This network shows the impact of papers produced by Margit MacDougall. 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 Margit MacDougall. The network helps show where Margit MacDougall may publish in the future.
Co-authors
The 25 scholars most cited alongside Margit MacDougall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 66 | |
| 2 | 2006 | 64 | |
| 3 | 2003 | 37 | |
| 4 | 2002 | 26 | |
| 5 | 1997 | 26 | |
| 6 | 2002 | 13 | |
| 7 | 2013 | 10 | |
| 8 | 2007 | 10 | |
| 9 | 2002 | 8 | |
| 10 | 1996 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2022 | 1 |
About Margit MacDougall
Margit MacDougall is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Organic Chemistry and Pharmacology, having authored 12 papers that have together received 273 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (5 papers), Receptor Mechanisms and Signaling (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cyclopropane Reaction Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (2 papers) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (140 citations), Cellular and Molecular Neuroscience (65 citations), Surgery (111 citations), Molecular Biology (161 citations) and Oncology (33 citations). Margit MacDougall has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include James N. Livingston, Stephanie Yung, Clark Q. Pan, Thomas H. Claus, Over Cabrera, William J. Zavadoski, Jianxin Yang, William R. Schoen, Ling Yang and Ru Wei. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, BMC Genomics and mAbs.
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.