Stephan Schmitz

2.6k citations
73 papers · 1.9k · h-index 22

Impact in

Papers in

Stephan Schmitz

67 papers receiving 1.9k citations

Peers

Stephan Schmitz
Comparison fields: 5 of 137
  • Cardiology and Cardiovascular Medicine 678
  • Cell Biology 455
  • Structural Biology 29
  • Hematology 134
  • Physiology 55
Replace Arun P. Wiita with:
Arun P. Wiita United States
Anne‐Marie Benoliel France
Amber L. Wells United States
Emanuele Cocucci United States
Richard W. Wong Japan
Eli Zamir Germany
Leo M. Carlin United Kingdom
Marisa L. Martin-Fernandez United Kingdom
Thomas P. Kole United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003284
2 2005213
3 2016153
4 2004136
5 2003132
6 2005123
7 201399
8 201084
9 200859
10 199948
11 201046
12 200941
13 200236
14 200432
15 199931
16 201030
17 199526
18 201726
19 201424
20 200023

About Stephan Schmitz

Stephan Schmitz is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Public Health, Environmental and Occupational Health, Hematology and Industrial and Manufacturing Engineering, having authored 73 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), Neutropenia and Cancer Infections (5 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Economic and Financial Impacts of Cancer (5 papers), Acute Myeloid Leukemia Research (5 papers), Force Microscopy Techniques and Applications (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (678 citations), Cell Biology (455 citations), Structural Biology (29 citations), Hematology (134 citations) and Physiology (55 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 Munira Grainger. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, 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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