Juliane Schäfer

4.4k total citations · 2 hit papers
51 papers, 3.0k citations indexed

About

Juliane Schäfer is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Juliane Schäfer has authored 51 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Cardiology and Cardiovascular Medicine and 7 papers in Molecular Biology. Recurrent topics in Juliane Schäfer's work include Surgical Simulation and Training (5 papers), Gene expression and cancer classification (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Juliane Schäfer is often cited by papers focused on Surgical Simulation and Training (5 papers), Gene expression and cancer classification (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Juliane Schäfer collaborates with scholars based in Switzerland, Germany and United States. Juliane Schäfer's co-authors include Korbinian Strimmer, Nicole Krämer, Anne‐Laure Boulesteix, Dieter Hauschke, Iris Pigeot, Joachim Röhmel, Rachel Rosenthal, Arno Schmidt‐Trucksäss, Henner Hanssen and Heiner C. Bucher and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Juliane Schäfer

51 papers receiving 2.9k citations

Hit Papers

A Shrinkage Approach to Large-Scale Covariance Matrix Est... 2004 2026 2011 2018 2005 2004 250 500 750 1000

Peers

Juliane Schäfer
Comparison fields: 5 of 184
  • Molecular Biology 1.3k
  • Statistics and Probability 349
  • Genetics 221
  • Epidemiology 219
  • Artificial Intelligence 218
Replace Mahlet G. Tadesse with:
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Min Chen China
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Mahlet G. Tadesse United States View profile →
Citations per field, relative to Juliane Schäfer
Juliane Schäfer · 1×
Citations per year, relative to Juliane Schäfer
Juliane Schäfer · 1×

Countries citing papers authored by Juliane Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Juliane Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juliane Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Juliane Schäfer. A scholar is included among the top collaborators of Juliane Schäfer 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 Juliane Schäfer. Juliane Schäfer 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
# Work Indexed citations
1 8
2 1
3 30
4 24
5 14
6 29
7 48
8 22
9 18
10 73
11 1
12 12
13 64
14 76
15 153
16 176
17 68
18
A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics breakdown →
1033
19 36
20
Prognostic indicators in fulminant hepatic failure.
8

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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