Mary Dabney Davis
- Molecular Biology
- Physiology top 10%
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Guojun BuZbigniew K. WszołekMichael DeTureDennis W. DicksonTakahisa KanekiyoLeonard PetrucelliYari CarlomagnoCasey Cook
- Topics
- Alzheimer's disease research and treatments (4 papers)Nuclear Receptors and Signaling (3 papers)Amyotrophic Lateral Sclerosis Research (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Mary Dabney Davis
14 papers receiving 754 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 416
- Physiology 358
- Neurology 165
- Cellular and Molecular Neuroscience 163
- Neurology 138
Countries citing papers authored by Mary Dabney Davis
This map shows the geographic impact of Mary Dabney Davis'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 Mary Dabney Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Dabney Davis more than expected).
Fields of papers citing papers by Mary Dabney Davis
This network shows the impact of papers produced by Mary Dabney Davis. 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 Mary Dabney Davis. The network helps show where Mary Dabney Davis may publish in the future.
Co-authorship network of co-authors of Mary Dabney Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Dabney Davis. A scholar is included among the top collaborators of Mary Dabney Davis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Dabney Davis. Mary Dabney Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 117 | |
| 2 | 169 | |
| 3 | 82 | |
| 4 | 54 | |
| 5 | 43 | |
| 6 | 225 | |
| 7 | 1 | |
| 8 | 54 | |
| 9 | 6 | |
| 10 | An immunoglobulin heavy chain variable region gene is generated from three segments of DNA: VH, D and JH. 1980. | 1 |
| 11 | 1 | |
| 12 | The frequency and phenotype-genotype correlation in 18 families with autosomal dominant cerebellar ataxia type 1 (ADCA-1) from Eastern India | 1 |
| 13 | 7 | |
| 14 | 1 |
About Mary Dabney Davis
Mary Dabney Davis is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 14 papers that have together received 762 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Nuclear Receptors and Signaling (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Neurology (165 citations), Physiology (358 citations) and Developmental Neuroscience (46 citations). Mary Dabney Davis has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Guojun Bu, Zbigniew K. Wszołek, Michael DeTure, Dennis W. Dickson, Takahisa Kanekiyo, Leonard Petrucelli, Yari Carlomagno, Casey Cook, Judy H. Dunmore and Mitsuru Shinohara. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Cell Metabolism.
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.