Howard Feit

3.4k citations
43 papers · 1.6k · h-index 20

Impact in

Papers in

Howard Feit

41 papers receiving 1.5k citations

Peers

Howard Feit
Comparison fields: 5 of 114
  • Cell Biology 414
  • Cellular and Molecular Neuroscience 335
  • Toxicology 48
  • Neurology 182
  • Neurology 83
Replace Stephen F. Larner with:
Stephen F. Larner United States
Takeshi Funakoshi Japan
Joel Horwitz United States
Giovanni Bénard France
Steven Mah United States
Nobuo Katsube Japan
W. Ruitenbeek Netherlands
Patricia Vázquez Spain
Robert D. Azbill United States
Garry K. Brown United Kingdom
Howard Feit relative to Stephen F. Larner United States Stephen F. Larner's profile →
Citations per field
00.5×1.7×
Stephen F. Larner · 1×
Citations per year

Countries citing papers authored by Howard Feit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Howard Feit Line = papers co-authored together Howard Feit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996215
2 1970180
3 1971144
4 1982131
5 1971122
6 1998111
7 198796
8 198274
9 197556
10 197751
11 197747
12 199944
13 197632
14 197228
15 201226
16 198323
17 198723
18 198922
19 198122
20 198020

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 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Cardiomyopathy and Myosin Studies (7 papers), Microtubule and mitosis dynamics (6 papers), Muscle activation and electromyography studies (4 papers), 14-3-3 protein interactions (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Pancreatic function and diabetes (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Cell Biology (414 citations), Cellular and Molecular Neuroscience (335 citations), Toxicology (48 citations), Neurology (182 citations) and Neurology (83 citations). Howard Feit has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Michael L. Shelanski, S H Barondes, Ning Jiang, Michael Chopp, Donald G. Stein, Erwin R. Thal, Gary R. Dutton, Samuel H. Barondes, Steven R. Levine and William I. Manton. Their work appears in journals such as Muscle & Nerve, Neurology, Biochemical and Biophysical Research Communications, Brain Research 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.

Explore authors with similar magnitude of impact