Maria E. Grunwald
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
Papers in
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- Receptor Mechanisms and Signaling 3
- Retinal Development and Disorders 3
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- Photoreceptor and optogenetics research 3
- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 2
- Neuroscience and Neural Engineering 1
- Co-authors
- John T. Finn (1 shared paper)Joshua M. Kaplan (3 shared papers)King‐Wai Yau (4 shared papers)Lars Dreier (1 shared paper)Jeremy S. Dittman (1 shared paper)Hung–Hsiang Yu (1 shared paper)Haining Zhong (1 shared paper)Jun Lai (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Neuropharmacology (1 paper)Annual Review of Physiology (1 paper)Journal of Biological Chemistry (1 paper)FEBS Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Maria E. Grunwald
8 papers receiving 727 citations
Peers
Comparison fields: 5 of 68
- Aging 111
- Cellular and Molecular Neuroscience 412
- Sensory Systems 77
- Endocrine and Autonomic Systems 65
- Cell Biology 125
Countries citing papers authored by Maria E. Grunwald
This map shows the geographic impact of Maria E. Grunwald'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 Maria E. Grunwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria E. Grunwald more than expected).
Fields of papers citing papers by Maria E. Grunwald
This network shows the impact of papers produced by Maria E. Grunwald. 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 Maria E. Grunwald. The network helps show where Maria E. Grunwald may publish in the future.
Co-authors
The 11 scholars most cited alongside Maria E. Grunwald, 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 | 1996 | 267 | |
| 2 | 2002 | 236 | |
| 3 | 1998 | 85 | |
| 4 | 1996 | 52 | |
| 5 | 2004 | 35 | |
| 6 | 2003 | 31 | |
| 7 | 1999 | 30 | |
| 8 | 2000 | 3 |
About Maria E. Grunwald
Maria E. Grunwald is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Aging, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 8 papers that have together received 739 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Retinal Development and Disorders (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Aging (111 citations), Cellular and Molecular Neuroscience (412 citations), Sensory Systems (77 citations), Endocrine and Autonomic Systems (65 citations) and Cell Biology (125 citations). Maria E. Grunwald has collaborated with scholars based in United States. Frequent co-authors include John T. Finn, Joshua M. Kaplan, King‐Wai Yau, Lars Dreier, Jeremy S. Dittman, Hung–Hsiang Yu, Haining Zhong, Jun Lai, Andres V. Maricq and Jerry E. Mellem. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuropharmacology, Annual Review of Physiology, Journal of Biological Chemistry and FEBS Letters.
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.