Susanna Mac
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
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- Regulation of Appetite and Obesity
Papers in
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- Signaling Pathways in Disease 3
- Ubiquitin and proteasome pathways 1
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- Microtubule and mitosis dynamics 2
- melanin and skin pigmentation 2
- Co-authors
- Terri Poon (2 shared papers)Lawrence Blonde (1 shared paper)David M. Kendall (1 shared paper)J. Han (1 shared paper)Kristin Taylor (1 shared paper)Michael Trautmann (1 shared paper)E. Klein (1 shared paper)Peggy Farnham (4 shared papers)
- Journals
- Molecular Carcinogenesis (4 papers)Diabetes Obesity and Metabolism (1 paper)Diabetes/Metabolism Research and Reviews (1 paper)Genome Research (1 paper)Diabetes Spectrum (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Susanna Mac
9 papers receiving 528 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 382
- Endocrine and Autonomic Systems 42
- Pharmacology 80
- Surgery 154
- Molecular Biology 199
Countries citing papers authored by Susanna Mac
This map shows the geographic impact of Susanna Mac'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 Susanna Mac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Mac more than expected).
Fields of papers citing papers by Susanna Mac
This network shows the impact of papers produced by Susanna Mac. 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 Susanna Mac. The network helps show where Susanna Mac may publish in the future.
Co-authors
The 20 scholars most cited alongside Susanna Mac, 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 | 2006 | 355 | |
| 2 | 2006 | 90 | |
| 3 | 2000 | 50 | |
| 4 | 1995 | 43 | |
| 5 | Spatially restricted hypopigmentation associated with an Ednrbs-modifying locus on mouse chromosome 10. | 2000 | 16 |
| 6 | 2000 | 6 | |
| 7 | 2006 | 5 | |
| 8 | 2000 | 1 | |
| 9 | 2000 | 1 |
About Susanna Mac
Susanna Mac is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Neurology and Endocrine and Autonomic Systems, having authored 9 papers that have together received 567 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Signaling Pathways in Disease (3 papers), Microtubule and mitosis dynamics (2 papers), Neuroblastoma Research and Treatments (2 papers), melanin and skin pigmentation (2 papers), Diabetes Management and Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (382 citations), Endocrine and Autonomic Systems (42 citations), Pharmacology (80 citations), Surgery (154 citations) and Molecular Biology (199 citations). Susanna Mac has collaborated with scholars based in United States and Germany. Frequent co-authors include Terri Poon, Lawrence Blonde, David M. Kendall, J. Han, Kristin Taylor, Michael Trautmann, E. Klein, Peggy Farnham, William J. Pavan and S M Tilghman. Their work appears in journals such as Molecular Carcinogenesis, Diabetes Obesity and Metabolism, Diabetes/Metabolism Research and Reviews, Genome Research and Diabetes Spectrum.
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.