W. W. Hofmann
- Neurology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- D. M. J. QuastelD. ElmqvistS. ThesleffGideon GoldsteinWalter AlstonRonald W. AngelR. A. SmithGerhard Schlüter
- Topics
- Neurological disorders and treatments (10 papers)Myasthenia Gravis and Thymoma (8 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
W. W. Hofmann
38 papers receiving 725 citations
Peers
Comparison fields: 5 of 97
- Neurology 344
- Molecular Biology 338
- Cellular and Molecular Neuroscience 258
- Biomedical Engineering 107
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by W. W. Hofmann
This map shows the geographic impact of W. W. Hofmann'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 W. W. Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. W. Hofmann more than expected).
Fields of papers citing papers by W. W. Hofmann
This network shows the impact of papers produced by W. W. Hofmann. 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 W. W. Hofmann. The network helps show where W. W. Hofmann may publish in the future.
Co-authorship network of co-authors of W. W. Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of W. W. Hofmann. A scholar is included among the top collaborators of W. W. Hofmann 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 W. W. Hofmann. W. W. Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Testing Extrapolation of a Biologically-Based Exposure-Response Model from in Vitro to in Vivo to Human Epidemiological Conditions | 5 |
| 2 | 54 | |
| 3 | 14 | |
| 4 | [The effectiveness of intravenous administration of large quantities of glucose in the treatment of bovine ketosis]. | 0 |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | [Endocarditis of the pulmonary valve with pulmonary artery thrombosis in swine]. | 1 |
| 10 | 41 | |
| 11 | Endocrine function of the thymus affecting neuromuscular transmission. | 50 |
| 12 | 34 | |
| 13 | 16 | |
| 14 | 47 | |
| 15 | 3 | |
| 16 | 254 | |
| 17 | 8 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | [On the problem of the cortical localization of the vestibular apparatus]. | 1 |
About W. W. Hofmann
W. W. Hofmann is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 881 indexed citations. Recurring topics across this work include Neurological disorders and treatments (10 papers), Myasthenia Gravis and Thymoma (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Neurology (344 citations), Cellular and Molecular Neuroscience (258 citations) and Molecular Biology (338 citations). W. W. Hofmann has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include D. M. J. Quastel, D. Elmqvist, S. Thesleff, Gideon Goldstein, Walter Alston, Ronald W. Angel, R. A. Smith, Gerhard Schlüter, Wilfried Dimpfel and A. Dalhoff. Their work appears in journals such as Nature, Brain and Neurology.
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.