Jacqueline Stöckli

4.4k citations
56 papers · 3.2k indexed · 1 hit paper · h-index 28
Topics
Adipose Tissue and Metabolism (27 papers)Metabolism, Diabetes, and Cancer (27 papers)Pancreatic function and diabetes (13 papers)

In The Last Decade

Jacqueline Stöckli

53 papers receiving 3.2k citations

Hit Papers

The aetiology and molecular landscape of insulin resistance20212026202220242021100200300

Peers

Jacqueline Stöckli
Comparison fields: 5 of 115
  • Molecular Biology 2.1k
  • Physiology 1.1k
  • Cell Biology 721
  • Surgery 686
  • Epidemiology 497
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 of co-authors of Jacqueline Stöckli

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Stöckli. A scholar is included among the top collaborators of Jacqueline Stöckli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacqueline Stöckli. Jacqueline Stöckli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 4
5 6
6 36
7 6
8 31
9 25
10 28
11 15
12 46
13 320
14 8
15 7
16 23
17 29
18 41
19 6
20 54

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) and Pancreatic function and diabetes (13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026