Silke Schäfer

2.2k citations
29 papers · 1.7k · h-index 21

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism, Diabetes, and Cancer 2
    • Ion channel regulation and function 1
    • Genetic Associations and Epidemiology 6

Silke Schäfer

29 papers receiving 1.7k citations

Peers

Silke Schäfer
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 417
  • Endocrine and Autonomic Systems 113
  • Genetics 413
  • Surgery 421
  • Nutrition and Dietetics 134
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George Bikopoulos Canada
Lingguang Cui United States
Akemi Hara Japan
Katsuya Tanabe Japan
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Christine Longuet Canada
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Silke Schäfer relative to Junji Fujikura Japan Junji Fujikura's profile →
Citations per field
00.5×1.5×1.8×
Junji Fujikura · 1×
Citations per year

Countries citing papers authored by Silke Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Silke Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007244
2 2008207
3 2007137
4 1997109
5 2008102
6 2007102
7 2008100
8 200989
9 200974
10 200866
11 201155
12 201050
13 200748
14 200643
15 200539
16 200834
17 200528
18 201026
19 200424
20 200922

About Silke Schäfer

Silke Schäfer is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Oncology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Adipose Tissue and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Plant Molecular Biology Research (2 papers), Diabetes Management and Research (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (417 citations), Endocrine and Autonomic Systems (113 citations), Genetics (413 citations), Surgery (421 citations) and Nutrition and Dietetics (134 citations). Silke Schäfer has collaborated with scholars based in Germany, Finland and Denmark. Frequent co-authors include Andreas Fritsche, Fausto Machicao, Norbert Stefan, Harald Staiger, Hans‐Ulrich Häring, Otto Tschritter, Kerstin Kirchhoff, Kοnstantinos Kantartzis, Claus Thamer and Thomas Schmülling. Their work appears in journals such as PLoS ONE, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Physiologia Plantarum and Diabetes Obesity and Metabolism.

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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