Werner Vach

390 papers receiving 9.5k citations

Peers

Werner Vach
Comparison fields: 5 of 216
  • Neurology 557
  • Statistics and Probability 337
  • Cellular and Molecular Neuroscience 661
  • Radiology, Nuclear Medicine and Imaging 748
  • Cardiology and Cardiovascular Medicine 710
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Robert C. Elston United States
Mark I. McCarthy United Kingdom
John L. Hopper Australia
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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 415 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996191
2 2009189
3 2000186
4 2015178
5 2013172
6 2008171
7 2015157
8 1996157
9 2008156
10 2006153
11 1996146
12 2012141
13 2013136
14 1991136
15 2008135
16 2005135
17 2005115
18
The prognostic value of angiogenesis by Chalkley counting in a confirmatory study design on 836 breast cancer patients.
2000114
19 2005107
20 2015107

About Werner Vach

Werner Vach is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine and Archeology, having authored 415 papers that have together received 9.9k indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (28 papers), Statistical Methods in Clinical Trials (18 papers), Musculoskeletal pain and rehabilitation (17 papers), Cardiac Imaging and Diagnostics (16 papers), Forensic and Genetic Research (15 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Archaeology and ancient environmental studies (13 papers) and Statistical Methods and Bayesian Inference (12 papers). The work is most often cited by research in Neurology (557 citations), Statistics and Probability (337 citations), Cellular and Molecular Neuroscience (661 citations), Radiology, Nuclear Medicine and Imaging (748 citations) and Cardiology and Cardiovascular Medicine (710 citations). Werner Vach has collaborated with scholars based in Germany, Denmark and Switzerland. Frequent co-authors include Martin Schumacher, Poul Flemming Høilund‐Carlsen, Kurt W. Alt, Martin Boeker, Joachim K. Krauss, Oke Gerke, Dirk W. Droste, Lise Hestbæk, Henrik Wulff Christensen and Dorthe Bleses. 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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