David L. Davis
- Physiology top 1%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 1%
- Computational Theory and Mathematics top 2%
- Co-authors
- Ivan LieberburgR E RydelMP MattsonKatherine BryantBin ChengDouglas GalaskoLawrence C. FritzLeon J. Thal
- Topics
- bioluminescence and chemiluminescence research (4 papers)Cholinesterase and Neurodegenerative Diseases (4 papers)Alzheimer's disease research and treatments (3 papers)
- Partner nations
- United States
In The Last Decade
David L. Davis
18 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Physiology 1.7k
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 656
- Pharmacology 627
- Computational Theory and Mathematics 336
Countries citing papers authored by David L. Davis
This map shows the geographic impact of David L. 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 David L. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Davis more than expected).
Fields of papers citing papers by David L. Davis
This network shows the impact of papers produced by David L. 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 David L. Davis. The network helps show where David L. Davis may publish in the future.
Co-authorship network of co-authors of David L. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Davis. A scholar is included among the top collaborators of David L. 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 David L. Davis. David L. 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 | 61 | |
| 2 | 62 | |
| 3 | 71 | |
| 4 | 23 | |
| 5 | ENZYME LINKED IMMUNO TRANSFER BLOT ANALYSI OF EXCRETORY - CECRETORY PROTEINS OF FASIOLOIDES MAGNA & FASCIOLA HEPATICA | 1 |
| 6 | 455 | |
| 7 | 112 | |
| 8 | beta-Amyloid peptides destabilize calcium homeostasis and render human cortical neurons vulnerable to excitotoxicitybreakdown → | 1390 |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 20 | |
| 18 | 13 | |
| 19 | 13 |
About David L. Davis
David L. Davis is a scholar working on Developmental Neuroscience, Pharmacology and Biotechnology, having authored 19 papers that have together received 2.3k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Physiology (1.7k citations), Pharmacology (627 citations) and Cellular and Molecular Neuroscience (656 citations). David L. Davis has collaborated with scholars based in United States. Frequent co-authors include Ivan Lieberburg, R E Rydel, MP Mattson, Katherine Bryant, Bin Cheng, Douglas Galasko, Lawrence C. Fritz, Leon J. Thal, Dale B. Schenk and Tilman Oltersdorf. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.