Eliot J. Davidowitz

1.1k citations
27 papers · 690 · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Renal and related cancers
    • Fibroblast Growth Factor Research

Papers in

    • Alzheimer's disease research and treatments 15
    • Cholinesterase and Neurodegenerative Diseases 11

Eliot J. Davidowitz

25 papers receiving 681 citations

Peers

Eliot J. Davidowitz
Comparison fields: 5 of 61
  • Cancer Research 351
  • Molecular Biology 459
  • Physiology 124
  • Neurology 36
  • Oncology 91
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Sébastien Dupasquier Belgium
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Citations per year

Countries citing papers authored by Eliot J. Davidowitz

Since Specialization
Citations

This map shows the geographic impact of Eliot J. Davidowitz'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 Eliot J. Davidowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eliot J. Davidowitz more than expected).

Fields of papers citing papers by Eliot J. Davidowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eliot J. Davidowitz. 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 Eliot J. Davidowitz. The network helps show where Eliot J. Davidowitz may publish in the future.

Co-authors

The 25 scholars most cited alongside Eliot J. Davidowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eliot J. Davidowitz Line = papers co-authored together Eliot J. Davidowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998182
2 2000105
3 200188
4 201375
5 200055
6 200143
7 200131
8 201426
9 201913
10 199111
11 200710
12 20078
13 19898
14 20237
15 20056
16 20095
17 20104
18 20163
19 19942
20 20252

About Eliot J. Davidowitz

Eliot J. Davidowitz is a scholar working on Physiology, Pharmacology, Molecular Biology, Computational Theory and Mathematics and Cancer Research, having authored 27 papers that have together received 690 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers) and Prion Diseases and Protein Misfolding (3 papers). The work is most often cited by research in Cancer Research (351 citations), Molecular Biology (459 citations), Physiology (124 citations), Neurology (36 citations) and Oncology (91 citations). Eliot J. Davidowitz has collaborated with scholars based in United States, Hungary and Russia. Frequent co-authors include Alan R. Schoenfeld, Robert D. Burk, James G. Moe, Michael R. Sierks, Prasad Devarajan, Patrícia Luciana da Costa Lopez, Sharareh Emadi, Tchaiko Parris, Andrew Eisenberger and Patricia López. Their work appears in journals such as Alzheimer s & Dementia, Proceedings of the National Academy of Sciences, Amyloid, Journal of Alzheimer s Disease and PLoS ONE.

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.

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