Werner Vach

398 papers receiving 9.9k citations

Peers

Werner Vach
Comparison fields: 5 of 216
  • Statistics and Probability 342
  • Neurology 572
  • Radiology, Nuclear Medicine and Imaging 814
  • Cellular and Molecular Neuroscience 671
  • Cardiology and Cardiovascular Medicine 773
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Robert C. Elston United States
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Countries citing papers authored by Werner Vach

Since Specialization
Citations

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

Fields of papers citing papers by Werner Vach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 420 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996196
2 2000193
3 2015193
4 2009188
5 2013172
6 2008171
7 2015166
8 2008156
9 1996155
10 2006155
11 2012147
12 2005145
13 2013144
14 1996143
15 1991138
16
The prognostic value of angiogenesis by Chalkley counting in a confirmatory study design on 836 breast cancer patients.
2000116
17 2005116
18 2008114
19 2017112
20 2015111

About Werner Vach

Werner Vach is a scholar working on Statistics and Probability, Archeology, Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Genetics, having authored 420 papers that have together received 10.4k indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (28 papers), Statistical Methods in Clinical Trials (20 papers), Cardiac Imaging and Diagnostics (18 papers), Musculoskeletal pain and rehabilitation (16 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Forensic and Genetic Research (15 papers), Medical Imaging Techniques and Applications (13 papers) and Statistical Methods and Bayesian Inference (13 papers). The work is most often cited by research in Statistics and Probability (342 citations), Neurology (572 citations), Radiology, Nuclear Medicine and Imaging (814 citations), Cellular and Molecular Neuroscience (671 citations) and Cardiology and Cardiovascular Medicine (773 citations). Werner Vach has collaborated with scholars based in Germany, Denmark and Switzerland. Frequent co-authors include Martin Christian Schumacher, Poul Flemming Høilund‐Carlsen, Martin Wendland Christian Boeker, Kurt W. Alt, Oke Gerke, Joachim Kurt Krauss, Lise Hestbæk, Dirk Wolfgang Droste, Henrik Wulff Christensen and Edith Motschall. Their work appears in journals such as PLoS ONE, Journal of Manipulative and Physiological Therapeutics, European Journal of Nuclear Medicine and Molecular Imaging, BMC Musculoskeletal Disorders and Statistics in Medicine.

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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