Thorsten Sadowski

2.3k citations
33 papers · 1.2k indexed · h-index 17

Impact in

Papers in

Thorsten Sadowski

33 papers receiving 1.2k citations

Peers

Thorsten Sadowski
Comparison fields: 5 of 100
  • Immunology and Allergy 156
  • Cancer Research 371
  • Oncology 341
  • Hematology 104
  • Immunology 166
Replace Olaf R.F. Mook with:
Olaf R.F. Mook Netherlands
Frank Griscelli France
Kouji Matsushima Japan
Takahiko Aoyagi Japan
Shinichiro Mine Japan
Vitaly A. Polunovsky United States
Ulrike Benbow United States
Fengrong Zuo United States
Kristina Rafidi United States
Carmen Marchiol France
Thorsten Sadowski relative to Olaf R.F. Mook Netherlands Olaf R.F. Mook's profile →
Citations per field
00.5×1.5×
Olaf R.F. Mook · 1×
Citations per year

Countries citing papers authored by Thorsten Sadowski

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Sadowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202194
2 202016
3 201913
4 201631
5 201621
6 20158
7 201247
8
Selected blood serum biochemical indicators in twelve inbred strains of laboratory mice.
20098
9
IS THERE COINCIDENCE BETWEEN IMPAIRED GLUCOSE TOLERANCE AND SILENT MYOCARDIAL ISCHEMIA
20081
10 200850
11 200618
12 200562
13 200434
14 200341
15 200391
16 200245
17 20029
18 200219
19 200156
20 200170

About Thorsten Sadowski

Thorsten Sadowski is a scholar working on Cancer Research, Immunology and Allergy, Rheumatology, Hematology and Oncology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (17 papers), Peptidase Inhibition and Analysis (8 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Signaling Pathways in Disease (5 papers), Cell Adhesion Molecules Research (5 papers), Cardiac Fibrosis and Remodeling (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Immunology and Allergy (156 citations), Cancer Research (371 citations), Oncology (341 citations), Hematology (104 citations) and Immunology (166 citations). Thorsten Sadowski has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Jürgen Steinmeyer, Radislav Sedlacek, Sebastian Dietrich, Andreas Ludwig, Stefan Rose‐John, Dieter Hartmann, Paul Säftig, Karl‐Josef Kallen, Stefan Schütze and Björn Schuster. Their work appears in journals such as Inflammation Research, Journal of Investigative Dermatology, Journal of Biological Chemistry, Cellular and Molecular Life Sciences and Gene.

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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