John Pritchard
Impact in
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- Bioactive Compounds and Antitumor Agents
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- Peripheral Neuropathies and Disorders
Papers in
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- Pluripotent Stem Cells Research 1
- Single-cell and spatial transcriptomics 1
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- Migration and Labor Dynamics 2
- Income, Poverty, and Inequality 1
- Co-authors
- Danny Dorling (3 shared papers)R. J. Gutiérrez (1 shared paper)Millard H. Lambert (1 shared paper)Shawn P. Williams (1 shared paper)Iain M. McLay (1 shared paper)Kevin P. Madauss (1 shared paper)Steven A. Short (1 shared paper)Eugene L. Stewart (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Medicinal Chemistry (2 papers)Synlett (1 paper)Applied Spatial Analysis and Policy (1 paper)Neurology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
John Pritchard
15 papers receiving 241 citations
Peers
Comparison fields: 5 of 79
- Toxicology 16
- Neurology 42
- Computational Theory and Mathematics 32
- Cellular and Molecular Neuroscience 34
- Genetics 50
Countries citing papers authored by John Pritchard
This map shows the geographic impact of John Pritchard'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 John Pritchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Pritchard more than expected).
Fields of papers citing papers by John Pritchard
This network shows the impact of papers produced by John Pritchard. 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 John Pritchard. The network helps show where John Pritchard may publish in the future.
Co-authors
The 25 scholars most cited alongside John Pritchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 73 | |
| 2 | 2003 | 46 | |
| 3 | Ethnic Minority Populations and the Labour Market: An Analysis of the 1991 and 2001 Census | 2006 | 27 |
| 4 | 2020 | 24 | |
| 5 | 1990 | 23 | |
| 6 | 2010 | 20 | |
| 7 | 2012 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2024 | 8 | |
| 10 | 2008 | 8 | |
| 11 | 2010 | 4 | |
| 12 | Tansley review No. 68. The control of cell expansion in roots | 1994 | 4 |
| 13 | 2025 | 3 | |
| 14 | 2021 | 1 | |
| 15 | Gardens of discontent: health and horticulture in remote Aboriginal Australia | 2014 | 1 |
About John Pritchard
John Pritchard is a scholar working on Molecular Biology, Sociology and Political Science, Economics and Econometrics, Plant Science and Organic Chemistry, having authored 15 papers that have together received 270 indexed citations. Recurring topics across this work include Migration and Labor Dynamics (2 papers), Housing, Finance, and Neoliberalism (1 paper), Cancer Genomics and Diagnostics (1 paper), Plant Physiology and Cultivation Studies (1 paper), Pluripotent Stem Cells Research (1 paper), Animal Ecology and Behavior Studies (1 paper), Income, Poverty, and Inequality (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Toxicology (16 citations), Neurology (42 citations), Computational Theory and Mathematics (32 citations), Cellular and Molecular Neuroscience (34 citations) and Genetics (50 citations). John Pritchard has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Danny Dorling, R. J. Gutiérrez, Millard H. Lambert, Shawn P. Williams, Iain M. McLay, Kevin P. Madauss, Steven A. Short, Eugene L. Stewart, Ian Sutton and Ludi Simpson. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Synlett, Applied Spatial Analysis and Policy and Neurology.
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.