Kai Schuh
Impact in
- Genetics top 1%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Hematology top 1%
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
Papers in
-
- Cardiac electrophysiology and arrhythmias 8
- Cell Biology 12
- Caveolin-1 and cellular processes 6
- Co-authors
- Thomas Renné (12 shared papers)Ludwig Neyses (14 shared papers)Bernhard Nieswandt (3 shared papers)David Gailani (2 shared papers)Hans‐Ulrich Pauer (2 shared papers)Peter Burfeind (2 shared papers)Ulrich Walter (12 shared papers)Karin Bundschu (10 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Circulation (6 papers)Circulation Research (4 papers)The Journal of Experimental Medicine (3 papers)Developmental Dynamics (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Kai Schuh
67 papers receiving 5.9k citations
Kai Schuh's Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 902
- Hematology 773
- Physiology 255
- Cardiology and Cardiovascular Medicine 963
- Epidemiology 1.3k
Countries citing papers authored by Kai Schuh
This map shows the geographic impact of Kai Schuh'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 Schuh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Schuh more than expected).
Fields of papers citing papers by Kai Schuh
This network shows the impact of papers produced by Kai Schuh. 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 Schuh. The network helps show where Kai Schuh may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Schuh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | 2005 | 586 | |
| 3 | 2006 | 392 | |
| 4 | 2004 | 221 | |
| 5 | 2009 | 151 | |
| 6 | 2017 | 150 | |
| 7 | 2001 | 140 | |
| 8 | 2018 | 110 | |
| 9 | 2008 | 106 | |
| 10 | 2011 | 94 | |
| 11 | 2007 | 92 | |
| 12 | 2006 | 92 | |
| 13 | 2003 | 91 | |
| 14 | 2007 | 88 | |
| 15 | 1998 | 85 | |
| 16 | 2005 | 85 | |
| 17 | 2015 | 83 | |
| 18 | 2007 | 83 | |
| 19 | 2017 | 78 | |
| 20 | 1998 | 74 |
About Kai Schuh
Kai Schuh is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology, Immunology and Allergy and Genetics, having authored 69 papers that have together received 6.0k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (8 papers), Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (6 papers), Signaling Pathways in Disease (6 papers), Caveolin-1 and cellular processes (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Nitric Oxide and Endothelin Effects (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Genetics (902 citations), Hematology (773 citations), Physiology (255 citations), Cardiology and Cardiovascular Medicine (963 citations) and Epidemiology (1.3k citations). Kai Schuh has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas Renné, Ludwig Neyses, Bernhard Nieswandt, David Gailani, Hans‐Ulrich Pauer, Peter Burfeind, Ulrich Walter, Karin Bundschu, Miroslava Požgajová and Sabine Grüner. Their work appears in journals such as Journal of Biological Chemistry, Circulation, Circulation Research, The Journal of Experimental Medicine and Developmental Dynamics.
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.