Susanna Mac

892 citations
9 papers · 569 · h-index 6

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • Metabolism, Diabetes, and Cancer 2
    • melanin and skin pigmentation 2
    • Microtubule and mitosis dynamics 2

Susanna Mac

9 papers receiving 525 citations

Peers

Susanna Mac
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 406
  • Endocrine and Autonomic Systems 48
  • Pharmacology 106
  • Surgery 194
  • Molecular Biology 252
Replace Shu-Chen Lu with:
Shu-Chen Lu United States
Nasif Khoury United States
S Ciani Italy
Rupert G. Yip United States
Qianni Cheng Hong Kong
Harpreet K. Brar United States
Ayako Fukami Japan
F. Clemente Spain
Tobias Wiesner Germany
M Bersani Italy
Susanna Mac relative to Shu-Chen Lu United States Shu-Chen Lu's profile →
Citations per field
00.5×1.7×
Shu-Chen Lu · 1×
Citations per year

Countries citing papers authored by Susanna Mac

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Susanna Mac Line = papers co-authored together Susanna Mac links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2006357
2 200691
3 200049
4 199543
5
Spatially restricted hypopigmentation associated with an Ednrbs-modifying locus on mouse chromosome 10.
200016
6 20006
7 20065
8 20001
9 20001

About Susanna Mac

Susanna Mac is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Neurology and Surgery, having authored 9 papers that have together received 569 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Neuroblastoma Research and Treatments (2 papers), melanin and skin pigmentation (2 papers), Microtubule and mitosis dynamics (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Endocrine and Autonomic Systems (48 citations), Pharmacology (106 citations), Surgery (194 citations) and Molecular Biology (252 citations). Susanna Mac has collaborated with scholars based in United States and Germany. Frequent co-authors include Terri Poon, Lawrence Blonde, Kristin Taylor, J. Han, Michael Trautmann, David M. Kendall, E. Klein, Peggy Farnham, William J. Pavan and S M Tilghman. Their work appears in journals such as Molecular Carcinogenesis, Diabetes Obesity and Metabolism, Genome Research, Diabetes/Metabolism Research and Reviews 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.

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