Rita Bortell

88 papers receiving 4.1k citations

Rita Bortell's Hit Papers

Thioredoxin-Interacting Protein Mediates ER Stress-Induced β Cell Death through Initiation of the Inflammasome 2012 · 576 citations
5760+4+9Years since publication100200300400500

Peers

Rita Bortell
Comparison fields: 5 of 116
  • Cell Biology 806
  • Physiology 216
  • Genetics 1.1k
  • Immunology 781
  • Endocrinology, Diabetes and Metabolism 567
Replace Toshiyuki Fukao with:
Toshiyuki Fukao Japan
Howard W. Davidson United States
Christiane Ferran United States
Minna Woo Canada
Tomohiko Murakami Japan
Esteban N. Gurzov Belgium
Jean‐Dominique Vassalli Switzerland
Mingui Fu United States
Maria Vittoria Barone Italy
Rita Bortell relative to Toshiyuki Fukao Japan Toshiyuki Fukao's profile →
Citations per field
00.5×1.5×2.3×
Toshiyuki Fukao · 1×
Citations per year

Countries citing papers authored by Rita Bortell

Since Specialization
Citations

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

Fields of papers citing papers by Rita Bortell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Thioredoxin-Interacting Protein Mediates ER Stress-Induced β Cell Death through Initiation of the Inflammasome
Hit paper breakdown →
2012576
2 2006354
3 2009296
4 1988169
5 1990169
6 2004160
7 2014149
8 201097
9 199995
10 200374
11 201673
12 199170
13 199158
14 199157
15 199256
16 201055
17 199454
18 199649
19 199148
20 200947

About Rita Bortell

Rita Bortell is a scholar working on Genetics, Surgery, Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 88 papers that have together received 4.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Pancreatic function and diabetes (27 papers), Immune Cell Function and Interaction (16 papers), Estrogen and related hormone effects (11 papers), Diabetes Management and Research (10 papers), T-cell and B-cell Immunology (10 papers), Vitamin D Research Studies (9 papers) and Calcium signaling and nucleotide metabolism (9 papers). The work is most often cited by research in Cell Biology (806 citations), Physiology (216 citations), Genetics (1.1k citations), Immunology (781 citations) and Endocrinology, Diabetes and Metabolism (567 citations). Rita Bortell has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Dale L. Greiner, Aldo A. Rossini, Fumihiko Urano, Thomas A. Owen, Shinsuke Ishigaki, Gary S. Stein, Jane B. Lian, Janet L. Stein, John P. Mordes and Bryan O’Sullivan-Murphy. Their work appears in journals such as Journal of Cellular Biochemistry, Diabetes, The Journal of Immunology, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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