Stefan Jäckle

950 citations
27 papers · 794 · h-index 19

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Caveolin-1 and cellular processes
    • Protease and Inhibitor Mechanisms

Papers in

    • S100 Proteins and Annexins 6
    • Lipid Membrane Structure and Behavior 3
    • Lipoproteins and Cardiovascular Health 5
    • Cholesterol and Lipid Metabolism 4

Stefan Jäckle

26 papers receiving 754 citations

Peers

Stefan Jäckle
Comparison fields: 5 of 66
  • Cell Biology 195
  • Cancer Research 122
  • Endocrinology, Diabetes and Metabolism 133
  • Immunology and Allergy 41
  • Molecular Biology 478
Replace Jheem D. Medh with:
Jheem D. Medh United States
Jon C. Gonzales United States
Joseph C. Obunike United States
Youngmin A. Lee United States
Hisataka Shikama Japan
Naoaki Akisawa Japan
Sumio Kawata Japan
Atsuyuki Nakata Japan
John Brooling United States
Tom Björnheden Sweden
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Citations per field
00.5×1.5×2.3×
Jheem D. Medh · 1×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200095
2 199463
3 200152
4 199852
5 199449
6 200147
7 199147
8 199145
9 200042
10 199539
11 199238
12 199635
13 199629
14 199322
15 199322
16 200620
17 199718
18 199918
19 199618
20 199417

About Stefan Jäckle

Stefan Jäckle is a scholar working on Molecular Biology, Surgery, Cell Biology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 27 papers that have together received 794 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 (5 papers), Cholesterol and Lipid Metabolism (4 papers), Cancer, Lipids, and Metabolism (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cell Biology (195 citations), Cancer Research (122 citations), Endocrinology, Diabetes and Metabolism (133 citations), Immunology and Allergy (41 citations) and Molecular Biology (478 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, E. Windler and Albert Pol. Their work appears in journals such as Hepatology, Journal of Lipid Research, Journal of Biological Chemistry, Experimental Cell Research and Clinical Infectious Diseases.

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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