Jacqueline Stöckli

4.4k citations
56 papers · 3.2k indexed · 1 hit paper · h-index 28
    • Cellular transport and secretion 12
  • Physiology top 2%
    • Adipose Tissue and Metabolism 27
    • Diet and metabolism studies 5
    • Metabolism, Diabetes, and Cancer 27
    • Mitochondrial Function and Pathology 5
    • Protein Kinase Regulation and GTPase Signaling 4
  • Aging top 10%
    • Pancreatic function and diabetes 13
    • Adipokines, Inflammation, and Metabolic Diseases 10

Jacqueline Stöckli

53 papers receiving 3.2k citations

Hit Papers

The aetiology and molecular landscape of insulin resistance3992021202620222024100200300

Peers

Jacqueline Stöckli
Comparison fields: 5 of 115
  • Cell Biology 721
  • Physiology 1.1k
  • Molecular Biology 2.1k
  • Biochemistry 175
  • Aging 35
Replace Daniel J. Fazakerley with:
Daniel J. Fazakerley Australia
Yun Chau Long Singapore
Louise Lantier United States
Ann Louise Olson United States
Andreas Wiederkehr Switzerland
Atul S. Deshmukh Denmark
Yingjiang Zhou United States
Carsten Schmitz‐Peiffer Australia
Joseph V. Virbasius United States
Qingwei Chu United States
Jacqueline Stöckli relative to Daniel J. Fazakerley Australia Daniel J. Fazakerley's profile →
Citations per field
00.5×1.5×
Daniel J. Fazakerley · 1×
Citations per year

Countries citing papers authored by Jacqueline Stöckli

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Stöckli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20244
5 20236
6 202236
7 20216
8 202131
9 202125
10 201828
11 201615
12 201546
13 2015320
14 20158
15 20157
16 201523
17 201429
18 201041
19 20096
20 200854

About Jacqueline Stöckli

Jacqueline Stöckli is a scholar working on Physiology, Cell Biology and Physiology, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Metabolism, Diabetes, and Cancer (27 papers), Pancreatic function and diabetes (13 papers), Cellular transport and secretion (12 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Mitochondrial Function and Pathology (5 papers), Diet and metabolism studies (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Cell Biology (721 citations), Physiology (1.1k citations) and Molecular Biology (2.1k citations). Jacqueline Stöckli has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David E. James, Daniel J. Fazakerley, Morris J. Birnbaum, Sean J. Humphrey, Pengyi Yang, Jean Yang, James G. Burchfield, Georg Ramm, Jagath R. Junutula and Guang Yang. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and The EMBO Journal.

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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