Stephan Schmitz

2.5k citations
72 papers · 1.9k indexed · h-index 22

Impact in

Papers in

    • Acute Myeloid Leukemia Research 5
    • Blood disorders and treatments 6

Stephan Schmitz

66 papers receiving 1.9k citations

Peers

Stephan Schmitz
Comparison fields: 5 of 142
  • Cardiology and Cardiovascular Medicine 679
  • Cell Biology 460
  • Structural Biology 29
  • Hematology 159
  • Physiology 56
Replace Ken S. Zaner with:
Ken S. Zaner United States
Anne‐Marie Benoliel France
Thomas P. Kole United States
Richard W. Wong Japan
Marisa L. Martin-Fernandez United Kingdom
Paul R. Barber United Kingdom
H. Toyoshima Japan
Manfred Kneilling Germany
Bing Zhang United States
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Citations per field
00.5×9.7×
Ken S. Zaner · 1×
Citations per year

Countries citing papers authored by Stephan Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20200
2 20201
3 20190
4 20191
5 2016149
6
Produktionsdaten als Enabler für Industrie 4.0 : Gemeinsame Studie der produktionstechnischen Institute IFA, IPMT, Fraunhofer IWU und WZL
20152
7
Design principles for an integrated product and process development approach for rotationally symmetric products
20145
8 201423
9 20132
10 20104
11 201084
12 20093
13 20086
14 200859
15 20063
16 2005123
17 199923
18 199931
19 199619
20 199526

About Stephan Schmitz

Stephan Schmitz is a scholar working on Hematology, Genetics, Industrial and Manufacturing Engineering, Management of Technology and Innovation and Oncology, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (11 papers), Blood disorders and treatments (6 papers), Economic and Financial Impacts of Cancer (5 papers), Acute Myeloid Leukemia Research (5 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Neutropenia and Cancer Infections (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and Patient-Provider Communication in Healthcare (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (679 citations), Cell Biology (460 citations), Structural Biology (29 citations), Hematology (159 citations) and Physiology (56 citations). Stephan Schmitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Claudia Veigel, Justin E. Molloy, John Kendrick‐Jones, Fei Wang, James R. Sellers, Dietger Niederwieser, John Trinick, Folma Buß, Matthew Walker and Julia M. Heuser. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology, Blood, British Journal of Haematology and Journal of Molecular Biology.

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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2026