Barbara E. Herr
Impact in
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- Hormonal and reproductive studies
- Cell Biology top 10%
- Muscle metabolism and nutrition
Papers in
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- Muscle Physiology and Disorders 6
-
- Genetic Neurodegenerative Diseases 5
- Co-authors
- Robert C. Griggs (13 shared papers)William J. Kingston (4 shared papers)Ralph F. Józefowicz (2 shared papers)David Halliday (2 shared papers)G. B. Forbes (2 shared papers)William R. Markesbery (1 shared paper)Richard T. Moxley (3 shared papers)Gilbert B. Forbes (2 shared papers)
- Journals
- Neurology (4 papers)Controlled Clinical Trials (2 papers)Muscle & Nerve (2 papers)Neuromuscular Disorders (2 papers)Neurotherapeutics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Barbara E. Herr
18 papers receiving 683 citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 175
- Cell Biology 183
- Rehabilitation 44
- Cellular and Molecular Neuroscience 127
- Orthopedics and Sports Medicine 45
Countries citing papers authored by Barbara E. Herr
This map shows the geographic impact of Barbara E. Herr'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 Barbara E. Herr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara E. Herr more than expected).
Fields of papers citing papers by Barbara E. Herr
This network shows the impact of papers produced by Barbara E. Herr. 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 Barbara E. Herr. The network helps show where Barbara E. Herr may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara E. Herr, 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 | 1989 | 397 | |
| 2 | 1977 | 75 | |
| 3 | 2013 | 72 | |
| 4 | 1983 | 51 | |
| 5 | 2016 | 50 | |
| 6 | 1990 | 23 | |
| 7 | The antiparkinsonian drug budipine binds to NMDA and sigma receptors in postmortem human brain tissue. | 1995 | 19 |
| 8 | 1985 | 16 | |
| 9 | 1985 | 14 | |
| 10 | 2007 | 8 | |
| 11 | 1969 | 6 | |
| 12 | 2013 | 3 | |
| 13 | 2010 | 2 | |
| 14 | 1976 | 1 | |
| 15 | 1996 | 1 | |
| 16 | 1997 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 1979 | 1 |
About Barbara E. Herr
Barbara E. Herr is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Rehabilitation, having authored 18 papers that have together received 741 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Genetic Neurodegenerative Diseases (5 papers), Neurogenetic and Muscular Disorders Research (3 papers), Muscle metabolism and nutrition (2 papers), Health and Medical Research Impacts (2 papers), Exercise and Physiological Responses (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (175 citations), Cell Biology (183 citations), Rehabilitation (44 citations), Cellular and Molecular Neuroscience (127 citations) and Orthopedics and Sports Medicine (45 citations). Barbara E. Herr has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robert C. Griggs, William J. Kingston, Ralph F. Józefowicz, David Halliday, G. B. Forbes, William R. Markesbery, Richard T. Moxley, Gilbert B. Forbes, Rabi Tawil and Shree Pandya. Their work appears in journals such as Neurology, Controlled Clinical Trials, Muscle & Nerve, Neuromuscular Disorders and Neurotherapeutics.
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.