Flora Wald
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 3
- Photoreceptor and optogenetics research 3
- Neuroscience and Neuropharmacology Research 2
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- Neurogenesis and neuroplasticity mechanisms 2
- Co-authors
- Eduardo D. P. De Robertis (10 shared papers)Jose A. Zadunaisky (3 shared papers)H. M. Gerschenfeld (4 shared papers)Hersch M. Gerschenfeld (1 shared paper)Arnaldo Lasansky (1 shared paper)Eduardo G. Lapetina (2 shared papers)Edoardo De Robertis (1 shared paper)
- Journals
- Experimental Neurology (3 papers)The Journal of Cell Biology (2 papers)The Journal of Physiology (1 paper)Progress in brain research (1 paper)Neurology (1 paper)
- Partner nations
- Argentina
In The Last Decade
Flora Wald
13 papers receiving 465 citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 73
- Cellular and Molecular Neuroscience 293
- Neurology 111
- Cell Biology 75
- Neurology 62
Countries citing papers authored by Flora Wald
This map shows the geographic impact of Flora Wald'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 Flora Wald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flora Wald more than expected).
Fields of papers citing papers by Flora Wald
This network shows the impact of papers produced by Flora Wald. 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 Flora Wald. The network helps show where Flora Wald may publish in the future.
Co-authors
The 7 scholars most cited alongside Flora Wald, 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 | 1959 | 216 | |
| 2 | 1958 | 108 | |
| 3 | 1962 | 61 | |
| 4 | 1972 | 57 | |
| 5 | 1963 | 33 | |
| 6 | 1965 | 31 | |
| 7 | 1968 | 28 | |
| 8 | 1961 | 28 | |
| 9 | 1968 | 21 | |
| 10 | 1960 | 11 | |
| 11 | 1960 | 2 | |
| 12 | 1976 | 2 | |
| 13 | Ultrastructural and bioelectrical effects of antisera against subcellular particles from brain. | 1971 | 1 |
| 14 | 1960 | 1 |
About Flora Wald
Flora Wald is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Electrochemistry and Biomedical Engineering, having authored 14 papers that have together received 600 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (3 papers), Retinal Development and Disorders (2 papers), Muscle activation and electromyography studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Developmental Neuroscience (73 citations), Cellular and Molecular Neuroscience (293 citations), Neurology (111 citations), Cell Biology (75 citations) and Neurology (62 citations). Flora Wald has collaborated with scholars based in Argentina. Frequent co-authors include Eduardo D. P. De Robertis, Jose A. Zadunaisky, H. M. Gerschenfeld, Hersch M. Gerschenfeld, Arnaldo Lasansky, Eduardo G. Lapetina and Edoardo De Robertis. Their work appears in journals such as Experimental Neurology, The Journal of Cell Biology, The Journal of Physiology, Progress in brain research and Neurology.
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.