D M Meredith
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Virology top 10%
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Kruppel-like factors research 2
- Cancer-related gene regulation 2
-
- Herpesvirus Infections and Treatments 6
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Ewan E. Morrison (5 shared papers)Jon M. Askham (5 shared papers)A.F. Markham (1 shared paper)Adrian Whitehouse (3 shared papers)Alexander J. Stevenson (1 shared paper)Joanne C. Griffiths (1 shared paper)I. W. Halliburton (3 shared papers)Gary R. Whittaker (3 shared papers)
- Journals
- Journal of General Virology (4 papers)Journal of Virology (2 papers)The Journal of Physiology (2 papers)Mammalian Genome (1 paper)Neuroscience (1 paper)
- Partner nations
- United KingdomSlovakia
In The Last Decade
D M Meredith
15 papers receiving 623 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 175
- Virology 41
- Epidemiology 265
- Oncology 135
- Immunology 107
Countries citing papers authored by D M Meredith
This map shows the geographic impact of D M Meredith'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 D M Meredith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D M Meredith more than expected).
Fields of papers citing papers by D M Meredith
This network shows the impact of papers produced by D M Meredith. 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 D M Meredith. The network helps show where D M Meredith may publish in the future.
Co-authors
The 25 scholars most cited alongside D M Meredith, 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 | 1998 | 196 | |
| 2 | 1992 | 83 | |
| 3 | 1995 | 77 | |
| 4 | 1998 | 69 | |
| 5 | 1997 | 52 | |
| 6 | 1991 | 41 | |
| 7 | 1992 | 30 | |
| 8 | 1997 | 23 | |
| 9 | 1997 | 20 | |
| 10 | 1992 | 14 | |
| 11 | 1998 | 11 | |
| 12 | Both K290 and K413 are essential for DIDS covalent modification of the rat proton-linked monocarboxylate (lactate) transporter MCT1 expressed in Xenopus laevis oocytes | 1999 | 5 |
| 13 | Co-localization of immunoglobulin superfamily member CD147 with a monocarboxylate transporter (MCT1) | 1999 | 3 |
| 14 | 2000 | 3 | |
| 15 | 1996 | 2 |
About D M Meredith
D M Meredith is a scholar working on Molecular Biology, Epidemiology, Oncology, Pathology and Forensic Medicine and Agronomy and Crop Science, having authored 15 papers that have together received 629 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Microtubule and mitosis dynamics (2 papers), Kruppel-like factors research (2 papers), Viral-associated cancers and disorders (2 papers), Cancer-related gene regulation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cell Biology (175 citations), Virology (41 citations), Epidemiology (265 citations), Oncology (135 citations) and Immunology (107 citations). D M Meredith has collaborated with scholars based in United Kingdom and Slovakia. Frequent co-authors include Ewan E. Morrison, Jon M. Askham, A.F. Markham, Adrian Whitehouse, Alexander J. Stevenson, Joanne C. Griffiths, I. W. Halliburton, Gary R. Whittaker, R. A. Killington and Ian Carr. Their work appears in journals such as Journal of General Virology, Journal of Virology, The Journal of Physiology, Mammalian Genome and Neuroscience.
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.