David S. Miller
- Neurology top 1%
- Neurology top 2%
- Molecular Biology
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Milton AbramowitzIrene A. StegunBelinda WilsonWanqin ZhangJau‐Shyong HongJing ZhangWei ZhangMichelle L. Block
- Topics
- Drug Transport and Resistance Mechanisms (10 papers)Neonatal Health and Biochemistry (4 papers)Pregnancy and Medication Impact (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David S. Miller
37 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Neurology 792
- Neurology 711
- Molecular Biology 589
- Oncology 565
- Cellular and Molecular Neuroscience 489
Countries citing papers authored by David S. Miller
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
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 of co-authors of David S. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Miller. A scholar is included among the top collaborators of David S. Miller 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 David S. Miller. David S. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 133 | |
| 4 | 129 | |
| 5 | 134 | |
| 6 | 81 | |
| 7 | 64 | |
| 8 | 247 | |
| 9 | 34 | |
| 10 | 38 | |
| 11 | 49 | |
| 12 | 105 | |
| 13 | Designing a Groupware Implementation of a Manual Participatory Design Process | 2 |
| 14 | 118 | |
| 15 | 19 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 43 | |
| 19 | 6 | |
| 20 | Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55)breakdown → | 1054 |
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) and Pregnancy and Medication Impact (4 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.