Michael Thomaschewski

574 citations
31 papers · 372 · h-index 9

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Pancreatic and Hepatic Oncology Research

Papers in

Michael Thomaschewski

27 papers receiving 367 citations

Peers

Michael Thomaschewski
Comparison fields: 5 of 69
  • Biophysics 44
  • Oncology 110
  • Cancer Research 44
  • Developmental Neuroscience 12
  • Surgery 122
Replace Hendrikus C. R. Ariese with:
Hendrikus C. R. Ariese Netherlands
Julia Meier Germany
Falko Fend Germany
Emily J. Girard United States
Farkas Sükösd Hungary
Deepak Kumar Jha United States
Maggie Cam United States
Ruud Hulspas United States
Anne Senabouth Australia
Birte Niebuhr Germany
Michael Thomaschewski relative to Hendrikus C. R. Ariese Netherlands Hendrikus C. R. Ariese's profile →
Citations per field
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Hendrikus C. R. Ariese · 1×
Citations per year

Countries citing papers authored by Michael Thomaschewski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Thomaschewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011111
2 201279
3 201447
4 202119
5 201718
6 201712
7 201711
8 20248
9 20188
10 20217
11 20176
12 20206
13 20225
14 20235
15 20205
16 20194
17 20213
18 20223
19 20192
20 20202

About Michael Thomaschewski

Michael Thomaschewski is a scholar working on Surgery, Biomedical Engineering, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 31 papers that have together received 372 indexed citations. Recurring topics across this work include Surgical Simulation and Training (12 papers), Anatomy and Medical Technology (8 papers), Pancreatic and Hepatic Oncology Research (5 papers), Virus-based gene therapy research (4 papers), Gastrointestinal Tumor Research and Treatment (4 papers), CRISPR and Genetic Engineering (4 papers), Simulation-Based Education in Healthcare (3 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Biophysics (44 citations), Oncology (110 citations), Cancer Research (44 citations), Developmental Neuroscience (12 citations) and Surgery (122 citations). Michael Thomaschewski has collaborated with scholars based in Germany, Denmark and Ukraine. Frequent co-authors include Boris Fehse, Daniel Benten, Kristoffer Weber, Tobias Keck, Maura Dandri, Tassilo Volz, Kerstin Cornils, Marc Lütgehetmann, Carol Stocking and Michael Warlich. Their work appears in journals such as Langenbeck s Archives of Surgery, Surgical Innovation, Nature Medicine, International Journal of Surgery and BJS Open.

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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