Kai Schledzewski
- Immunology top 2%
- Immune cells in cancer 11
- Immune Cell Function and Interaction 7
- Hepatology top 2%
- Liver physiology and pathology 8
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 12
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research 6
- Oncology top 5%
- Lymphatic System and Diseases 4
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- Pancreatic function and diabetes 7
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- Glycosylation and Glycoproteins Research 5
- Co-authors
- Sergij GoerdtJulia KzhyshkowskaAlexei GratchevOliver PolitzPierre GuillotRalf R. MendelCyrill GéraudAstrid Schmieder
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Vascular Pharmacology (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Kai Schledzewski
58 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 114
- Immunology 1.4k
- Hepatology 457
- Immunology and Allergy 278
- Cell Biology 487
- Oncology 724
Countries citing papers authored by Kai Schledzewski
This map shows the geographic impact of Kai Schledzewski'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 Kai Schledzewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Schledzewski more than expected).
Fields of papers citing papers by Kai Schledzewski
This network shows the impact of papers produced by Kai Schledzewski. 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 Kai Schledzewski. The network helps show where Kai Schledzewski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Schledzewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 41 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 16 | |
| 7 | 2018 | 38 | |
| 8 | 2018 | 1 | |
| 9 | 2016 | 119 | |
| 10 | 2016 | 6 | |
| 11 | 2015 | 10 | |
| 12 | 2013 | 17 | |
| 13 | 2013 | 5 | |
| 14 | 2012 | 54 | |
| 15 | 2010 | 141 | |
| 16 | 2009 | 75 | |
| 17 | 2008 | 83 | |
| 18 | 2005 | 114 | |
| 19 | 2001 | 231 | |
| 20 | 1999 | 101 |
About Kai Schledzewski
Kai Schledzewski is a scholar working on Immunology and Allergy, Hepatology, Immunology, Cell Biology and Molecular Biology, having authored 60 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (12 papers), Immune cells in cancer (11 papers), Liver physiology and pathology (8 papers), Immune Cell Function and Interaction (7 papers), Pancreatic function and diabetes (7 papers), Proteoglycans and glycosaminoglycans research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Lymphatic System and Diseases (4 papers). The work is most often cited by research in Immunology (1.4k citations), Hepatology (457 citations), Immunology and Allergy (278 citations), Cell Biology (487 citations) and Oncology (724 citations). Kai Schledzewski has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Sergij Goerdt, Julia Kzhyshkowska, Alexei Gratchev, Oliver Politz, Pierre Guillot, Ralf R. Mendel, Cyrill Géraud, Astrid Schmieder, Nahid Hakiy and Alexandra Demory. Their work appears in journals such as Biochemical and Biophysical Research Communications, Vascular Pharmacology, Cell Death and Disease, Hepatology and JDDG Journal der Deutschen Dermatologischen Gesellschaft.
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.