Malcolm Ward
Impact in
-
- Neuroscience and Neuropharmacology Research
- Physiology top 1%
- Alzheimer's disease research and treatments
Papers in
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- Metabolomics and Mass Spectrometry Studies 8
- S100 Proteins and Annexins 7
- Physiology 32
- Alzheimer's disease research and treatments 27
- Co-authors
- Walter Blackstock (7 shared papers)Jyoti S. Choudhary (3 shared papers)Helen L. Byers (18 shared papers)Seth G. N. Grant (1 shared paper)Holger Husi (1 shared paper)Kit‐Yi Leung (10 shared papers)Brian H. Anderton (6 shared papers)Steven Lynham (12 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Alzheimer s & Dementia (7 papers)PROTEOMICS (5 papers)Scientific Reports (5 papers)Journal of Alzheimer s Disease (5 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Malcolm Ward
106 papers receiving 6.0k citations
Malcolm Ward's Hit Papers
Peers
Comparison fields: 5 of 147
- Cellular and Molecular Neuroscience 1.3k
- Physiology 1.6k
- Neurology 424
- Biological Psychiatry 112
- Molecular Biology 3.2k
Countries citing papers authored by Malcolm Ward
This map shows the geographic impact of Malcolm Ward'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 Malcolm Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Ward more than expected).
Fields of papers citing papers by Malcolm Ward
This network shows the impact of papers produced by Malcolm Ward. 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 Malcolm Ward. The network helps show where Malcolm Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteomic analysis of NMDA receptor–adhesion protein signaling complexes Hit paper breakdown → | 2000 | 1039 |
| 2 | 2007 | 372 | |
| 3 | 2006 | 370 | |
| 4 | 2006 | 236 | |
| 5 | 2001 | 204 | |
| 6 | 2007 | 187 | |
| 7 | 2005 | 162 | |
| 8 | 2002 | 154 | |
| 9 | 2017 | 148 | |
| 10 | 2008 | 144 | |
| 11 | 2013 | 140 | |
| 12 | 2009 | 139 | |
| 13 | 2003 | 123 | |
| 14 | 1990 | 106 | |
| 15 | 2004 | 100 | |
| 16 | 2004 | 98 | |
| 17 | 2004 | 93 | |
| 18 | 2014 | 84 | |
| 19 | 2012 | 79 | |
| 20 | 2005 | 75 |
About Malcolm Ward
Malcolm Ward is a scholar working on Molecular Biology, Physiology, Spectroscopy, Cell Biology and Immunology, having authored 107 papers that have together received 6.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (27 papers), Advanced Proteomics Techniques and Applications (20 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Mass Spectrometry Techniques and Applications (7 papers), S100 Proteins and Annexins (7 papers), Marine Invertebrate Physiology and Ecology (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Physiology (1.6k citations), Neurology (424 citations), Biological Psychiatry (112 citations) and Molecular Biology (3.2k citations). Malcolm Ward has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Walter Blackstock, Jyoti S. Choudhary, Helen L. Byers, Seth G. N. Grant, Holger Husi, Kit‐Yi Leung, Brian H. Anderton, Steven Lynham, Simon Lovestone and Diane P. Hanger. Their work appears in journals such as Journal of Biological Chemistry, Alzheimer s & Dementia, PROTEOMICS, Scientific Reports and Journal of Alzheimer s Disease.
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.