K.F. Haas
Impact in
-
- Electrospun Nanofibers in Biomedical Applications
- biodegradable polymer synthesis and properties
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Receptor Mechanisms and Signaling 2
- Ion channel regulation and function 1
-
- Neuroscience and Neuropharmacology Research 2
- Neuropeptides and Animal Physiology 1
- Co-authors
- C. Mauli Agrawal (1 shared paper)David A. Leopold (1 shared paper)Matt T. Bianchi (1 shared paper)Robert L. Macdonald (1 shared paper)Matthew M. Pearson (1 shared paper)Bassel Abou‐Khalil (1 shared paper)Peter E. Konrad (1 shared paper)Patrick Lavin (1 shared paper)
- Journals
- Neuropharmacology (1 paper)Biomaterials (1 paper)Graefe s Archive for Clinical and Experimental Ophthalmology (1 paper)Regulatory Peptides (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
K.F. Haas
6 papers receiving 309 citations
Peers
Comparison fields: 5 of 67
- Biomaterials 73
- Cellular and Molecular Neuroscience 96
- Psychiatry and Mental health 52
- Behavioral Neuroscience 10
- Cognitive Neuroscience 47
Countries citing papers authored by K.F. Haas
This map shows the geographic impact of K.F. Haas'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 K.F. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.F. Haas more than expected).
Fields of papers citing papers by K.F. Haas
This network shows the impact of papers produced by K.F. Haas. 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 K.F. Haas. The network helps show where K.F. Haas may publish in the future.
Co-authors
The 22 scholars most cited alongside K.F. Haas, 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 | 1992 | 138 | |
| 2 | 2002 | 84 | |
| 3 | 2014 | 47 | |
| 4 | 2009 | 44 | |
| 5 | 1996 | 4 | |
| 6 | 1994 | 2 |
About K.F. Haas
K.F. Haas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Biomaterials and Psychiatry and Mental health, having authored 6 papers that have together received 319 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Epilepsy research and treatment (1 paper), Ion channel regulation and function (1 paper), Coronary Interventions and Diagnostics (1 paper), Neuropeptides and Animal Physiology (1 paper) and biodegradable polymer synthesis and properties (1 paper). The work is most often cited by research in Biomaterials (73 citations), Cellular and Molecular Neuroscience (96 citations), Psychiatry and Mental health (52 citations), Behavioral Neuroscience (10 citations) and Cognitive Neuroscience (47 citations). K.F. Haas has collaborated with scholars based in United States and Israel. Frequent co-authors include C. Mauli Agrawal, David A. Leopold, Matt T. Bianchi, Robert L. Macdonald, Matthew M. Pearson, Bassel Abou‐Khalil, Peter E. Konrad, Patrick Lavin, Nabil J. Azar and Deng‐Shan Shiau. Their work appears in journals such as Neuropharmacology, Biomaterials, Graefe s Archive for Clinical and Experimental Ophthalmology, Regulatory Peptides and Clinical Neurophysiology.
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.