Daniel Ness

2.5k citations
27 papers · 1.5k indexed · h-index 14

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

    • Parkinson's Disease Mechanisms and Treatments 6
    • Neurological disorders and treatments 2
    • Advanced Glycation End Products research 2

Daniel Ness

27 papers receiving 1.4k citations

Peers

Daniel Ness
Comparison fields: 5 of 94
  • Neurology 425
  • Neurology 230
  • Physiology 579
  • Biological Psychiatry 39
  • Cellular and Molecular Neuroscience 280
Replace Vicki Waetzig with:
Vicki Waetzig Germany
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Daniel Ness relative to Vicki Waetzig Germany Vicki Waetzig's profile →
Citations per field
00.5×2.9×
Vicki Waetzig · 1×
Citations per year

Countries citing papers authored by Daniel Ness

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ness. 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 Daniel Ness. The network helps show where Daniel Ness may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Ness, 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 Daniel Ness Line = papers co-authored together Daniel Ness 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 2005261
2 2018224
3 2016185
4 1993181
5 2005171
6 1992163
7 201365
8 199457
9 201231
10 199430
11 200426
12 199618
13 201915
14 200814
15 20139
16 20087
17 20046
18 19954
19 20104
20 20184

About Daniel Ness

Daniel Ness is a scholar working on Neurology, Clinical Biochemistry, Transplantation, Cellular and Molecular Neuroscience and Small Animals, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Nuclear Receptors and Signaling (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Computational Drug Discovery Methods (2 papers), Advanced Glycation End Products research (2 papers), Neurological disorders and treatments (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Neurology (425 citations), Neurology (230 citations), Physiology (579 citations), Biological Psychiatry (39 citations) and Cellular and Molecular Neuroscience (280 citations). Daniel Ness has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Susan L. Schantz, Larry G. Hansen, Jamal Moshtaghian, Patrick C. May, Sue G. Griffith, Michael Grundman, Dale B. Schenk, Susanne Ostrowitzki, Gene G. Kinney and Wagner Zago. Their work appears in journals such as Alzheimer s & Dementia, Mycopathologia, Toxicological Sciences, Neurobiology of Aging and Clinical Neuropharmacology.

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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