Stefan Tenzer

14.8k citations
178 papers · 10.9k indexed · 4 hit papers · h-index 46

Impact in

Papers in

    • Immunotherapy and Immune Responses 18
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 10

Stefan Tenzer

171 papers receiving 10.8k citations

Hit Papers

Protein Corona of Nanoparticles: Distinct Proteins Regulate the Cellular Uptake 2015 · 516 citations
516201120262016202150010001.5k

Peers

Stefan Tenzer
Comparison fields: 5 of 168
  • Biomaterials 2.3k
  • Surfaces, Coatings and Films 650
  • Immunology 1.9k
  • Molecular Biology 5.3k
  • Developmental Neuroscience 318
Replace Dick Hoekstra with:
Dick Hoekstra Netherlands
Hansjörg Schild Germany
Edouard C. Nice Australia
Elena V. Batrakova United States
Jan Johansson Sweden
Weiyue Lu China
Yu‐Kyoung Oh South Korea
Daniel Scherman France
Giuliano Elia Ireland
Niren Murthy United States
Stefan Tenzer relative to Dick Hoekstra Netherlands Dick Hoekstra's profile →
Citations per field
00.5×
Dick Hoekstra · 1×
Citations per year

Countries citing papers authored by Stefan Tenzer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Tenzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20247
4 202412
5 20240
6 20234
7 20237
8 20221
9 20220
10 2021156
11 202025
12 2020122
13 201820
14 201421
15 201413
16 2009155
17 200833
18 20054
19 200454
20 200318

About Stefan Tenzer

Stefan Tenzer is a scholar working on Immunology, Parasitology, Virology, Spectroscopy and Molecular Biology, having authored 178 papers that have together received 10.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (24 papers), Immunotherapy and Immune Responses (18 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Mass Spectrometry Techniques and Applications (15 papers), Ubiquitin and proteasome pathways (14 papers), Immune Cell Function and Interaction (12 papers), Cytomegalovirus and herpesvirus research (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Biomaterials (2.3k citations), Surfaces, Coatings and Films (650 citations), Immunology (1.9k citations), Molecular Biology (5.3k citations) and Developmental Neuroscience (318 citations). Stefan Tenzer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hansjörg Schild, Jörg Kuharev, Ute Distler, Shirley K. Knauer, Roland H. Stauber, Katharina Landfester, Dominic Docter, Michael Maskos, Anna Musyanovych and Olaf Jahn. Their work appears in journals such as Journal of Proteome Research, Nature Communications, The Journal of Immunology, Gastroenterology and PROTEOMICS.

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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