Fernanda Ortis

43 papers receiving 4.6k citations

Hit Papers

The role of inflammation in insulitis and β-cell loss in type 1 diabetes 2009 · 799 citations
7992008202620142020250500750

Peers

Fernanda Ortis
Comparison fields: 5 of 115
  • Cell Biology 1.5k
  • Genetics 1.9k
  • Surgery 2.7k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Physiology 166
Replace Alessandra K. Cardozo with:
Alessandra K. Cardozo Belgium
Mariana Igoillo‐Esteve Belgium
Daniel A. Cunha Belgium
Allen Volchuk Canada
Donald K. Scott United States
Yukari Kitamura Japan
Hueng-Sik Choi South Korea
Guim Kwon United States
Ira G. Schulman United States
Yousuke Ebina Japan
Fernanda Ortis relative to Alessandra K. Cardozo Belgium Alessandra K. Cardozo's profile →
Citations per field
00.5×1.5×
Alessandra K. Cardozo · 1×
Citations per year

Countries citing papers authored by Fernanda Ortis

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Ortis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of inflammation in insulitis and β-cell loss in type 1 diabetes
Hit paper breakdown →
2009799
2
Initiation and execution of lipotoxic ER stress in pancreatic β-cells
Hit paper breakdown →
2008501
3 2005443
4 2012358
5 2006257
6 2009191
7 2010174
8 2010151
9 2009138
10 2008133
11 2009126
12 2006116
13 2010108
14 2010102
15 200796
16 200790
17 201682
18 200777
19 200972
20 202171

About Fernanda Ortis

Fernanda Ortis is a scholar working on Cell Biology, Genetics, Surgery, Immunology and Physiology, having authored 43 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (33 papers), Diabetes and associated disorders (27 papers), Endoplasmic Reticulum Stress and Disease (17 papers), Immune Cell Function and Interaction (8 papers), NF-κB Signaling Pathways (6 papers), Diabetes Management and Research (3 papers), Diet, Metabolism, and Disease (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cell Biology (1.5k citations), Genetics (1.9k citations), Surgery (2.7k citations), Endocrinology, Diabetes and Metabolism (1.0k citations) and Physiology (166 citations). Fernanda Ortis has collaborated with scholars based in Belgium, Brazil and United States. Frequent co-authors include Décio L. Eizirik, Máikel L. Colli, Alessandra K. Cardozo, Miriam Cnop, Daniel A. Cunha, Laurence Ladrière, Esteban N. Gurzov, Piero Marchetti, Fabrice Moore and Joanne Rasschaert. Their work appears in journals such as Diabetes, Diabetologia, Journal of Biological Chemistry, Journal of Molecular Endocrinology and Molecular Endocrinology.

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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