Matthias U. Nollert

2.2k citations
31 papers · 1.8k indexed · h-index 20

Matthias U. Nollert

31 papers receiving 1.7k citations

Peers

Matthias U. Nollert
Comparison fields: 5 of 138
  • Immunology and Allergy 567
  • Hematology 285
  • Cell Biology 265
  • Immunology 295
  • Cancer Research 160
Replace Kathleen C. Day with:
Kathleen C. Day United States
Darren G. Woodside United States
Jennifer R. Allport United States
Barbara Garmy‐Susini France
Miriam Benezra United States
Valeria V. Orlova Netherlands
Cornelia Hahn United States
Paola Spessotto Italy
Maurizio Mongiat Italy
Martina Rudelius Germany
Matthias U. Nollert relative to Kathleen C. Day United States Kathleen C. Day's profile →
Citations per field
00.5×3.6×
Kathleen C. Day · 1×
Citations per year

Countries citing papers authored by Matthias U. Nollert

Since Specialization
Citations

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

Fields of papers citing papers by Matthias U. Nollert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias U. Nollert. 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 Matthias U. Nollert. The network helps show where Matthias U. Nollert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201927
2
Teachers Learning to Prepare Future Engineers: A Systemic Analysis Through Five Components of Development and Transfer.
20182
3 201879
4 201725
5 201313
6 200931
7 200834
8
The Research Proposal in Biomechanical and Biological Engineering Courses.
20061
9 200616
10 2005104
11 2002122
12 200011
13 2000210
14 1995156
15 1995153
16 199234
17 199130
18 1991101
19 1990171
20 198944

About Matthias U. Nollert

Matthias U. Nollert is a scholar working on Architecture, Immunology and Allergy, Media Technology, Hematology and Genetics, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Tissue Engineering and Regenerative Medicine (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Platelet Disorders and Treatments (4 papers), Blood properties and coagulation (3 papers), Cellular Mechanics and Interactions (3 papers), Carbon Nanotubes in Composites (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Immunology and Allergy (567 citations), Hematology (285 citations), Cell Biology (265 citations), Immunology (295 citations) and Cancer Research (160 citations). Matthias U. Nollert has collaborated with scholars based in United States and Sri Lanka. Frequent co-authors include Rodger P. McEver, Larry V. McIntire, Kamala D. Patel, Suzanne G. Eskin, Julien H. Arrizabalaga, S. Bradley Forlow, Cheng Zhu, Richard D. Cummings, Kevin L. Moore and R P McEver. Their work appears in journals such as The Journal of Cell Biology, Proceedings of the National Academy of Sciences, Annals of Biomedical Engineering, Biochemical and Biophysical Research Communications and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026