David M. White

6.4k citations
160 papers · 5.0k · h-index 43

Impact in

Papers in

David M. White

157 papers receiving 4.8k citations

Peers

David M. White
Comparison fields: 5 of 200
  • Biological Psychiatry 174
  • Cognitive Neuroscience 1.3k
  • Psychiatry and Mental health 617
  • Radiology, Nuclear Medicine and Imaging 820
  • Cellular and Molecular Neuroscience 571
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Jonathan Marchini United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David M. White

Since Specialization
Citations

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

Fields of papers citing papers by David M. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015237
2 2007222
3 2012180
4 2013167
5 2013134
6 2016111
7 2010110
8 2016108
9 1972102
10 199296
11 201590
12 199387
13 201784
14 201681
15 199281
16
Applications of meta analysis in individual-subject research.
198980
17 198276
18 201275
19 201170
20 201469

About David M. White

David M. White is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Infectious Diseases and Molecular Biology, having authored 160 papers that have together received 5.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Advanced MRI Techniques and Applications (13 papers), Schizophrenia research and treatment (12 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Viral Infections and Vectors (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Animal Disease Management and Epidemiology (6 papers) and Vector-Borne Animal Diseases (5 papers). The work is most often cited by research in Biological Psychiatry (174 citations), Cognitive Neuroscience (1.3k citations), Psychiatry and Mental health (617 citations), Radiology, Nuclear Medicine and Imaging (820 citations) and Cellular and Molecular Neuroscience (571 citations). David M. White has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Adrienne C. Lahti, Nina V. Kraguljac, Meredith A. Reid, Jennifer Ann Hadley, Mark Bolding, Lawrence Ver Hoef, Tia Gao, Karen Vail‐Smith, Jan den Hollander and Kāri Stefánsson. Their work appears in journals such as Schizophrenia Research, Frontiers in Psychiatry, Psychiatry Research Neuroimaging, Neuropsychopharmacology and Human Brain Mapping.

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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