Linda Van Eldik
- Physiology top 1%
- Molecular Biology top 10%
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 2%
- Co-authors
- Holly D. OakleySreemathi LoganRobert VassarPei ShaoSarah L. ColeAngela Guillozet-BongaartsErika MausR. Stephen Berry
- Topics
- Alzheimer's disease research and treatments (4 papers)Computational Drug Discovery Methods (3 papers)Cholinesterase and Neurodegenerative Diseases (3 papers)
- Partner nations
- United StatesIraq
In The Last Decade
Linda Van Eldik
12 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Physiology 2.0k
- Molecular Biology 945
- Neurology 886
- Cellular and Molecular Neuroscience 744
- Pharmacology 418
Countries citing papers authored by Linda Van Eldik
This map shows the geographic impact of Linda Van Eldik'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 Linda Van Eldik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Van Eldik more than expected).
Fields of papers citing papers by Linda Van Eldik
This network shows the impact of papers produced by Linda Van Eldik. 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 Linda Van Eldik. The network helps show where Linda Van Eldik may publish in the future.
Co-authorship network of co-authors of Linda Van Eldik
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Van Eldik. A scholar is included among the top collaborators of Linda Van Eldik 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 Linda Van Eldik. Linda Van Eldik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 25 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Assessing Microglia/Macrophages in DBA/2J Glaucoma | 2 |
| 6 | Intraneuronal β-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer's Disease Mutations: Potential Factors in Amyloid Plaque Formationbreakdown → | 2544 |
| 7 | 26 | |
| 8 | 16 | |
| 9 | 18 | |
| 10 | 36 | |
| 11 | 173 | |
| 12 | 2 |
About Linda Van Eldik
Linda Van Eldik is a scholar working on Biological Psychiatry, Neurology and Computational Theory and Mathematics, having authored 12 papers that have together received 2.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Biological Psychiatry (308 citations), Neurology (886 citations) and Physiology (2.0k citations). Linda Van Eldik has collaborated with scholars based in United States and Iraq. Frequent co-authors include Holly D. Oakley, Sreemathi Logan, Robert Vassar, Pei Shao, Sarah L. Cole, Angela Guillozet-Bongaarts, Erika Maus, R. Stephen Berry, John F. Disterhoft and Masuo Ohno. Their work appears in journals such as Journal of Neuroscience, The FASEB Journal and Annals of the New York Academy of Sciences.
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.