U Tisljar
- Co-authors
- A. John BarrettChristopher G. KnightMarkus BüchlerDieter H. WolfManfred HüttingerM A BrownHubert ScharnaglWinfried März
- Topics
- Peptidase Inhibition and Analysis (10 papers)Neuropeptides and Animal Physiology (7 papers)Protease and Inhibitor Mechanisms (4 papers)
- Journals
- Analytical BiochemistryBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
U Tisljar
16 papers receiving 349 citations
Peers
Comparison fields: 5 of 62
- Oncology 180
- Molecular Biology 173
- Cellular and Molecular Neuroscience 126
- Physiology 65
- Cancer Research 38
Countries citing papers authored by U Tisljar
This map shows the geographic impact of U Tisljar'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 U Tisljar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Tisljar more than expected).
Fields of papers citing papers by U Tisljar
This network shows the impact of papers produced by U Tisljar. 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 U Tisljar. The network helps show where U Tisljar may publish in the future.
Co-authorship network of co-authors of U Tisljar
This figure shows the co-authorship network connecting the top 25 collaborators of U Tisljar. A scholar is included among the top collaborators of U Tisljar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with U Tisljar. U Tisljar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 1 | |
| 3 | The betaA4 amyloid peptide complexes to and enhances the uptake of beta-very low density lipoproteins by the low density lipoprotein receptor-related protein and heparan sulfate proteoglycans pathway. | 21 |
| 4 | 43 | |
| 5 | 4 | |
| 6 | Thimet oligopeptidase--a review of a thiol dependent metallo-endopeptidase also known as Pz-peptidase endopeptidase 24.15 and endo-oligopeptidase. | 29 |
| 7 | Pz-peptidase is not a matrix metalloproteinase. | 2 |
| 8 | 38 | |
| 9 | 13 | |
| 10 | 27 | |
| 11 | 16 | |
| 12 | 17 | |
| 13 | 30 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | Accumulation of radioiodinated L-alpha-methyltyrosine in pancreas of mice: concise communication. | 26 |
About U Tisljar
U Tisljar is a scholar working on Cellular and Molecular Neuroscience, Oncology and Cancer Research, having authored 17 papers that have together received 353 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (10 papers), Neuropeptides and Animal Physiology (7 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (126 citations), Oncology (180 citations) and Genetics (30 citations). U Tisljar has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include A. John Barrett, Christopher G. Knight, Markus Büchler, Dieter H. Wolf, Manfred Hüttinger, M A Brown, Hubert Scharnagl, Winfried März, G. Stöcklin and Karl Winkler. Their work appears in journals such as Analytical Biochemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.