Ulf Schulze
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
Papers in
-
- Hippo pathway signaling and YAP/TAZ 6
- Cellular transport and secretion 2
-
- Wnt/β-catenin signaling in development and cancer 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Thomas Weide (10 shared papers)Hermann Pavenstädt (10 shared papers)Joachim Kremerskothen (3 shared papers)Beate Vollenbröker (4 shared papers)Dirk Wolters (2 shared papers)Dirk Oliver Wennmann (2 shared papers)Laura K. Schenk (2 shared papers)Michael P. Krahn (3 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Molecular Biology and Evolution (1 paper)The FASEB Journal (1 paper)Blood Cancer Journal (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Ulf Schulze
12 papers receiving 340 citations
Peers
Comparison fields: 5 of 55
- Nephrology 84
- Cell Biology 151
- Physiology 13
- Molecular Biology 168
- Genetics 45
Countries citing papers authored by Ulf Schulze
This map shows the geographic impact of Ulf Schulze'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 Ulf Schulze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Schulze more than expected).
Fields of papers citing papers by Ulf Schulze
This network shows the impact of papers produced by Ulf Schulze. 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 Ulf Schulze. The network helps show where Ulf Schulze may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulf Schulze, 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 | 2014 | 82 | |
| 2 | 2014 | 56 | |
| 3 | 2014 | 47 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 27 | |
| 6 | 2016 | 21 | |
| 7 | 2016 | 21 | |
| 8 | 2010 | 17 | |
| 9 | 2016 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 1987 | 0 |
About Ulf Schulze
Ulf Schulze is a scholar working on Cell Biology, Molecular Biology, Physiology, Genetics and Nephrology, having authored 13 papers that have together received 344 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (6 papers), Genetic and Kidney Cyst Diseases (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Cellular transport and secretion (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Nephrology (84 citations), Cell Biology (151 citations), Physiology (13 citations), Molecular Biology (168 citations) and Genetics (45 citations). Ulf Schulze has collaborated with scholars based in Germany and United States. Frequent co-authors include Thomas Weide, Hermann Pavenstädt, Joachim Kremerskothen, Beate Vollenbröker, Dirk Wolters, Dirk Oliver Wennmann, Laura K. Schenk, Michael P. Krahn, Hermann Pavenstädt and Frank Erdmann. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Molecular Biology and Evolution, The FASEB Journal, Blood Cancer Journal and Journal of Biological Chemistry.
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.