David S. Miller

4.6k citations
38 papers · 3.5k indexed · 2 hit papers · h-index 19

David S. Miller

37 papers receiving 3.3k citations

Hit Papers

Aggregated α‐synuclein activ...1.0k19652026198520052505007501000

Peers

David S. Miller
Comparison fields: 5 of 194
  • Neurology 792
  • Neurology 711
  • Cellular and Molecular Neuroscience 489
  • Biological Psychiatry 59
  • Oncology 565
Replace Clifford S. Patlak with:
Clifford S. Patlak United States
John M. Lee United States
Alexander Zlotnik Israel
Charles Kooperberg United States
Xiaoqun Zhang China
Leopold Schmetterer Austria
Richard G. Spencer United States
Erik Christensen Denmark
Sune Nørhøj Jespersen Denmark
Kim H. Parker United Kingdom
David S. Miller relative to Clifford S. Patlak United States Clifford S. Patlak's profile →
Citations per field
00.5×1.5×
Clifford S. Patlak · 1×
Citations per year

Countries citing papers authored by David S. Miller

Since Specialization
Citations

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

Fields of papers citing papers by David S. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202315
3 2014133
4 2013129
5 2007134
6 200381
7 200164
8 2000247
9 199934
10 199938
11 199749
12 1996105
13
Designing a Groupware Implementation of a Manual Participatory Design Process
19922
14 1992118
15 199219
16 19921
17 19918
18 198943
19 19886
20
Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55)breakdown →
19651054

About David S. Miller

David S. Miller is a scholar working on Human-Computer Interaction, Neuropsychology and Physiological Psychology and Virology, having authored 38 papers that have together received 3.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Neonatal Health and Biochemistry (4 papers), Pregnancy and Medication Impact (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Usability and User Interface Design (4 papers), Ion Transport and Channel Regulation (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (792 citations), Neurology (711 citations) and Cellular and Molecular Neuroscience (489 citations). David S. Miller has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Milton Abramowitz, Irene A. Stegun, Belinda Wilson, Wanqin Zhang, Jau‐Shyong Hong, Jing Zhang, Wei Zhang, Michelle L. Block, Xuefei Wu and Tongguang Wang. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Neuroscience and American Journal of Psychiatry.

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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