Howard Feit
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
-
- Neuroscience and Neuropharmacology Research
Papers in ⓘ
-
- Muscle Physiology and Disorders 12
- 14-3-3 protein interactions 3
- Cell Biology 10
- Microtubule and mitosis dynamics 5
- Co-authors
- Michael L. Shelanski (4 shared papers)S H Barondes (1 shared paper)Michael Chopp (1 shared paper)Ning Jiang (1 shared paper)Donald G. Stein (1 shared paper)Erwin R. Thal (2 shared papers)Gary R. Dutton (1 shared paper)Samuel H. Barondes (1 shared paper)
- Journals
- Muscle & Nerve (9 papers)Neurology (7 papers)Brain Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Neurochemistry (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Howard Feit
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Cell Biology 350
- Cellular and Molecular Neuroscience 292
- Toxicology 48
- Neurology 181
- Neurology 88
Countries citing papers authored by Howard Feit
This map shows the geographic impact of Howard Feit'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 Howard Feit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Feit more than expected).
Fields of papers citing papers by Howard Feit
This network shows the impact of papers produced by Howard Feit. 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 Howard Feit. The network helps show where Howard Feit may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard Feit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 198 | |
| 2 | 1970 | 160 | |
| 3 | 1971 | 124 | |
| 4 | 1982 | 123 | |
| 5 | 1971 | 108 | |
| 6 | 1998 | 97 | |
| 7 | 1987 | 87 | |
| 8 | 1982 | 64 | |
| 9 | 1977 | 48 | |
| 10 | 1975 | 48 | |
| 11 | 1999 | 39 | |
| 12 | 1977 | 38 | |
| 13 | 1976 | 31 | |
| 14 | 2012 | 25 | |
| 15 | 1989 | 21 | |
| 16 | 1983 | 20 | |
| 17 | 1980 | 19 | |
| 18 | 1987 | 19 | |
| 19 | 1983 | 15 | |
| 20 | 1982 | 14 |
About Howard Feit
Howard Feit is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Cardiomyopathy and Myosin Studies (6 papers), Microtubule and mitosis dynamics (5 papers), Muscle activation and electromyography studies (4 papers), Meat and Animal Product Quality (3 papers), Genetic Neurodegenerative Diseases (3 papers), 14-3-3 protein interactions (3 papers) and Glycogen Storage Diseases and Myoclonus (3 papers). The work is most often cited by research in Cell Biology (350 citations), Cellular and Molecular Neuroscience (292 citations), Toxicology (48 citations), Neurology (181 citations) and Neurology (88 citations). Howard Feit has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Michael L. Shelanski, S H Barondes, Michael Chopp, Ning Jiang, Donald G. Stein, Erwin R. Thal, Gary R. Dutton, Samuel H. Barondes, William I. Manton and Steven R. Levine. Their work appears in journals such as Muscle & Nerve, Neurology, Brain Research, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.
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.