Suzanne Bertera

4.8k citations
71 papers · 2.8k indexed · h-index 32

Impact in

Papers in

    • Diabetes and associated disorders 34
    • Pancreatic function and diabetes 50
    • Xenotransplantation and immune response 7
    • Tissue Engineering and Regenerative Medicine 5

Suzanne Bertera

71 papers receiving 2.8k citations

Peers

Suzanne Bertera
Comparison fields: 5 of 104
  • Biological Psychiatry 146
  • Genetics 1.1k
  • Surgery 1.6k
  • Endocrinology, Diabetes and Metabolism 586
  • Immunology 596
Replace Jalal Taneera with:
Jalal Taneera United Arab Emirates
Jason DeVoss United States
Marcelo J. Perone Argentina
Esteban N. Gurzov Belgium
Anthony J. Milici United States
Iván Mascanfroni Argentina
Yihong Wan United States
Hulun Li China
Philippe Poindron France
Eun Mi Hur United States
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Citations per field
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Jalal Taneera · 1×
Citations per year

Countries citing papers authored by Suzanne Bertera

Since Specialization
Citations

This map shows the geographic impact of Suzanne Bertera'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 Suzanne Bertera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Bertera more than expected).

Fields of papers citing papers by Suzanne Bertera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Bertera. 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 Suzanne Bertera. The network helps show where Suzanne Bertera may publish in the future.

Co-authors

The 25 scholars most cited alongside Suzanne Bertera, 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 Suzanne Bertera Line = papers co-authored together Suzanne Bertera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013212
2 2002173
3 2010146
4 2002137
5 2014120
6 2006108
7 2003102
8 200391
9 201587
10 200386
11 200980
12 200180
13 200371
14 202168
15 200767
16 201664
17 200661
18 201058
19 200755
20 198854

About Suzanne Bertera

Suzanne Bertera is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Pharmacology, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (50 papers), Diabetes and associated disorders (34 papers), Diabetes Management and Research (14 papers), Cannabis and Cannabinoid Research (12 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (8 papers), Xenotransplantation and immune response (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). The work is most often cited by research in Biological Psychiatry (146 citations), Genetics (1.1k citations), Surgery (1.6k citations), Endocrinology, Diabetes and Metabolism (586 citations) and Immunology (596 citations). Suzanne Bertera has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Massimo Trucco, Rita Bottino, Paul D. Robbins, Angela Alexander, A. N. Balamurugan, Jon D. Piganelli, Simon C. Watkins, William A. Rudert, Jing He and Megan Crawford. Their work appears in journals such as Diabetes, The Journal of Immunology, Journal of Visualized Experiments, Diabetologia and Gene Therapy.

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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