H Weisenberger
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Molecular Biology
- Hematology top 10%
- Pharmacology
- Co-authors
- Thomas MüllerSalzman EwFrank HimmelsbachH. NarjesBrian D. GuthJ. KrauseW.G. EisertGerhard Nehmiz
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (7 papers)Inflammatory mediators and NSAID effects (4 papers)Analytical Methods in Pharmaceuticals (3 papers)
In The Last Decade
H Weisenberger
21 papers receiving 428 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 214
- Surgery 95
- Molecular Biology 82
- Hematology 78
- Pharmacology 77
Countries citing papers authored by H Weisenberger
This map shows the geographic impact of H Weisenberger'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 H Weisenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Weisenberger more than expected).
Fields of papers citing papers by H Weisenberger
This network shows the impact of papers produced by H Weisenberger. 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 H Weisenberger. The network helps show where H Weisenberger may publish in the future.
Co-authorship network of co-authors of H Weisenberger
This figure shows the co-authorship network connecting the top 25 collaborators of H Weisenberger. A scholar is included among the top collaborators of H Weisenberger 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 H Weisenberger. H Weisenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | PK/PD simulations as a tool for rational design of clinical dosage regimens: an example with Fradafiban. | 1 |
| 5 | 67 | |
| 6 | 11 | |
| 7 | Pharmacokinetic-pharmacodynamic and metabolite modeling with TopFit. | 12 |
| 8 | 29 | |
| 9 | 64 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | Platelet prostacyclin binding in smokers. | 7 |
| 13 | 16 | |
| 14 | Dipyridamole stimulates prostacyclin production in isolated rat aortic tissue. | 6 |
| 15 | 59 | |
| 16 | Studies on the mechanism of the positive-inotropic action of AR-L 115 BS, a new cardiotonic drug. | 24 |
| 17 | 25 | |
| 18 | 1 | |
| 19 | Role of cyclic AMP in platelet function. | 42 |
| 20 | [Specific binding of dipyridamol on human serum protein. Isolation, identification and characterization as alpha-1-acidic glycoprotein]. | 13 |
About H Weisenberger
H Weisenberger is a scholar working on Analytical Chemistry, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 21 papers that have together received 463 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Inflammatory mediators and NSAID effects (4 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Internal Medicine (50 citations), Cardiology and Cardiovascular Medicine (214 citations) and Hematology (78 citations). H Weisenberger has collaborated with scholars based in Germany, Belgium and Argentina. Frequent co-authors include Thomas Müller, Salzman Ew, Frank Himmelsbach, H. Narjes, Brian D. Guth, J. Krause, W.G. Eisert, Gerhard Nehmiz, G. Heinzel and A Dresse. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and FEBS Letters.
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.