Peter Arvan

14.6k citations
213 papers · 10.7k indexed · 2 hit papers · h-index 61

Peter Arvan

207 papers receiving 10.5k citations

Hit Papers

Therapeutic opportunities for pancreat...1552015202620182022100200300400

Peers

Peter Arvan
Comparison fields: 5 of 133
  • Cell Biology 5.1k
  • Endocrinology, Diabetes and Metabolism 2.2k
  • Physiology 530
  • Surgery 4.3k
  • Genetics 2.4k
Replace Vesa M. Olkkonen with:
Vesa M. Olkkonen Finland
Philippe A. Halban Switzerland
Timothy E. McGraw United States
John C. Hutton United States
Mathieu Bollen Belgium
M Ui Japan
Donalyn Scheuner United States
Silvia Corvera United States
Phillip T. Hawkins United Kingdom
Michael J. Weber United States
Peter Arvan relative to Vesa M. Olkkonen Finland Vesa M. Olkkonen's profile →
Citations per field
00.5×3.2×
Vesa M. Olkkonen · 1×
Citations per year

Countries citing papers authored by Peter Arvan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Arvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20239
3 20232
4 20229
5 202131
6 20218
7 202146
8 202125
9
Therapeutic opportunities for pancreatic β-cell ER stress in diabetes mellitusbreakdown →
2021155
10 20216
11 202139
12 202026
13 202037
14 201939
15 201968
16 2019100
17 2018144
18 200929
19 2008179
20 200738

About Peter Arvan

Peter Arvan is a scholar working on Cell Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 213 papers that have together received 10.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (109 papers), Endoplasmic Reticulum Stress and Disease (101 papers), Diabetes and associated disorders (43 papers), Cellular transport and secretion (43 papers), Thyroid Disorders and Treatments (30 papers), Erythrocyte Function and Pathophysiology (26 papers), Autophagy in Disease and Therapy (15 papers) and Metabolism, Diabetes, and Cancer (14 papers). The work is most often cited by research in Cell Biology (5.1k citations), Endocrinology, Diabetes and Metabolism (2.2k citations) and Physiology (530 citations). Peter Arvan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ming Liu, Regina Kuliawat, David Castle, Leena Haataja, Billy Tsai, J. David Castle, Paul S. Kim, Bruno Di Jeso, Ling Qi and Amy Chang. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, The Journal of Cell Biology, Journal of Clinical Investigation and Molecular and Cellular 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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