David J. Koss

1.7k citations
37 papers · 1.2k · h-index 18

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

David J. Koss

36 papers receiving 1.2k citations

Peers

David J. Koss
Comparison fields: 5 of 84
  • Neurology 227
  • Physiology 652
  • Neurology 368
  • Biological Psychiatry 48
  • Cellular and Molecular Neuroscience 311
Replace Scarlett J. Barker with:
Scarlett J. Barker United States
Daniel Erskine United Kingdom
Matthew Kirkcaldie Australia
Iddo Magen Israel
Helen Y. Figueroa United States
Heather McCann Australia
Katrina L. Paumier United States
Adele Woodhouse Australia
David Virley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David J. Koss

Since Specialization
Citations

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

Fields of papers citing papers by David J. Koss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David J. Koss, 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 David J. Koss Line = papers co-authored together David J. Koss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019242
2 2011110
3 2016102
4 202073
5 201657
6 202156
7 201654
8 201449
9 201944
10 202243
11 202039
12 202138
13 201325
14 200724
15 201924
16 201320
17 201220
18 200919
19 202017
20 200715

About David J. Koss

David J. Koss is a scholar working on Physiology, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Neurology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (9 papers), Dementia and Cognitive Impairment Research (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Neurological disorders and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Neurology (227 citations), Physiology (652 citations), Neurology (368 citations), Biological Psychiatry (48 citations) and Cellular and Molecular Neuroscience (311 citations). David J. Koss has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Bettina Platt, Tiago F. Outeiro, Gernot Riedel, Johannes Attems, Daniel Erskine, Alan Thomas, Lauren Walker, Ian G. McKeith, John‐Paul Taylor and Paul C. Donaghy. Their work appears in journals such as Acta Neuropathologica, Journal of Neurochemistry, Cellular and Molecular Life Sciences, Movement Disorders and Cell Calcium.

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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