Catherine Heddle

9 papers receiving 1.1k citations

Hit Papers

CD147 is tightly associated with lactate transporters MCT1 and MCT4 and facilitates their cell surface expression 2000 · 576 citations
5760+8+17Years since publication100200300400500

Peers

Catherine Heddle
Comparison fields: 5 of 93
  • Cancer Research 191
  • Biochemistry 91
  • Cell Biology 177
  • Physiology 267
  • Clinical Biochemistry 67
Replace Ivan Nemazanyy with:
Ivan Nemazanyy France
Teresa Zelinski Canada
Jose Norberto S. Vargas United States
Junru Wang China
Jin‐Mi Heo United States
Guoquan Gao China
Nada Bulus United States
Jlenia Monfregola Italy
Timothy J. Pullen United Kingdom
Louis Ercolani United States
Catherine Heddle relative to Ivan Nemazanyy France Ivan Nemazanyy's profile →
Citations per field
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Ivan Nemazanyy · 1×
Citations per year

Countries citing papers authored by Catherine Heddle

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Heddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
CD147 is tightly associated with lactate transporters MCT1 and MCT4 and facilitates their cell surface expression
Hit paper breakdown →
2000576
2 1998241
3 200095
4 200180
5 200336
6 201023
7 200720
8
Co-localization of immunoglobulin superfamily member CD147 with a monocarboxylate transporter (MCT1)
19992
9 20231

About Catherine Heddle

Catherine Heddle is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (2 papers), Ion channel regulation and function (2 papers), Muscle metabolism and nutrition (2 papers), Pancreatic function and diabetes (1 paper), Metabolism and Genetic Disorders (1 paper), Galectins and Cancer Biology (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cancer Research (191 citations), Biochemistry (91 citations), Cell Biology (177 citations), Physiology (267 citations) and Clinical Biochemistry (67 citations). Catherine Heddle has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include Andrew P. Halestrap, Marieangela C. Wilson, Peter Kirk, A. Neil Barclay, Arend Bonen, Nigel T. Price, O. F. Hutter, Ian Montgomery, Carsten Juel and Vicky N. Jackson. Their work appears in journals such as Molecular Microbiology, Protein Engineering Design and Selection, The EMBO Journal, American Journal of Physiology-Endocrinology and Metabolism and Journal of Biological 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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