Stefan Jäckle

947 citations
26 papers · 752 · h-index 18

Impact in

Papers in

    • S100 Proteins and Annexins 6
    • Lipid Membrane Structure and Behavior 3
    • Lipoproteins and Cardiovascular Health 4
    • Cholesterol and Lipid Metabolism 3

Stefan Jäckle

24 papers receiving 734 citations

Peers

Stefan Jäckle
Comparison fields: 5 of 66
  • Cell Biology 204
  • Endocrinology, Diabetes and Metabolism 137
  • Cancer Research 122
  • Immunology and Allergy 42
  • Molecular Biology 471
Replace Jheem D. Medh with:
Jheem D. Medh United States
Jon C. Gonzales United States
Marc W. Pladet United States
S.J. Mao United States
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Boris B. Boyanovsky United States
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Jäckle

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Jäckle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200093
2 199459
3 199850
4 200149
5 199449
6 199146
7 200144
8 199144
9 200038
10 199538
11 199237
12 199631
13 199629
14 199322
15 199319
16 199618
17 199417
18 200617
19 199916
20 199316

About Stefan Jäckle

Stefan Jäckle is a scholar working on Molecular Biology, Surgery, Cell Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 752 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), S100 Proteins and Annexins (6 papers), Cellular transport and secretion (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Lipid Membrane Structure and Behavior (3 papers), Cholesterol and Lipid Metabolism (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cell Biology (204 citations), Endocrinology, Diabetes and Metabolism (137 citations), Cancer Research (122 citations), Immunology and Allergy (42 citations) and Molecular Biology (471 citations). Stefan Jäckle has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Carlos Enrich, Franz Rinninger, Thomas Grewal, Richard J. Havel, Ulrike Beisiegel†, Jöerg Heeren, H. Greten, Heiner Greten, Albert Pol and E. Windler. Their work appears in journals such as Hepatology, Journal of Lipid Research, Journal of Biological Chemistry, Experimental Cell Research and Journal of Clinical Pathology.

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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