David Meredith

90 papers receiving 3.6k citations

David Meredith's Hit Papers

The SLC16 gene family?from monocarboxylate transporters (MCTs) to aromatic amino acid transporters and beyond 2004 · 827 citations
8270+7+14Years since publication250500750

Peers

David Meredith
Comparison fields: 5 of 150
  • Biochemistry 565
  • Cancer Research 440
  • Oncology 787
  • Clinical Biochemistry 190
  • Physiology 117
Replace Takashi Kawasaki with:
Takashi Kawasaki Japan
Ikuo Inoue Japan
J. Will Thompson United States
Weiming Xu China
Brian Herman United States
Thomas Wieland Germany
Hitoshi Ikeda Japan
Nobuteru Usuda Japan
Marc Baumann Finland
Masaki Saito Japan
David Meredith relative to Takashi Kawasaki Japan Takashi Kawasaki's profile →
Citations per field
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Takashi Kawasaki · 1×
Citations per year

Countries citing papers authored by David Meredith

Since Specialization
Citations

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

Fields of papers citing papers by David Meredith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The SLC16 gene family?from monocarboxylate transporters (MCTs) to aromatic amino acid transporters and beyond
Hit paper breakdown →
2004827
2 2000288
3 2005256
4 2011169
5 2002156
6 1973136
7 2008134
8 2005123
9 2000101
10 200091
11 200989
12 200878
13 199875
14 200061
15 200356
16 200652
17 197950
18 201048
19 199548
20 199844

About David Meredith

David Meredith is a scholar working on Molecular Biology, Oncology, Biochemistry, Surgery and Atomic and Molecular Physics, and Optics, having authored 91 papers that have together received 3.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (27 papers), Amino Acid Enzymes and Metabolism (24 papers), Physics of Superconductivity and Magnetism (7 papers), Chemical Synthesis and Analysis (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Pancreatic function and diabetes (5 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Biochemistry (565 citations), Cancer Research (440 citations), Oncology (787 citations), Clinical Biochemistry (190 citations) and Physiology (117 citations). David Meredith has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Andrew P. Halestrap, C.A.R. Boyd, Jocelyn E. Manning Fox, Marieangela C. Wilson, Patrick D. Bailey, Helen Christian, Robert J. Wilkins, Andrew Davies, Keith M. Morgan and Ian D. Collier. Their work appears in journals such as Physics Letters A, Journal of Biological Chemistry, The Journal of Physiology, Cellular Physiology and Biochemistry and Organic & Biomolecular Chemistry.

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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