Catherine Heddle

9 papers receiving 1.1k citations

Catherine Heddle's Hit Papers

CD147 is tightly associated with lactate transporters MCT1 and MCT4 and facilitates their cell surface expression 2000 · 601 citations
6010+8+17Years since publication200400600

Peers

Catherine Heddle
Comparison fields: 5 of 89
  • Biochemistry 99
  • Cancer Research 179
  • Physiology 261
  • Clinical Biochemistry 69
  • Cell Biology 164
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Addolorata Pisconti United States
Ivan Nemazanyy France
Herbert Schramek Austria
Saori R. Yoshii Japan
Jose Norberto S. Vargas United States
Jin‐Mi Heo United States
Weili Tian China
Guoquan Gao China
Junru Wang China
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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 →
2000601
2 1998253
3 200099
4 200185
5 200340
6 201030
7 200721
8
Co-localization of immunoglobulin superfamily member CD147 with a monocarboxylate transporter (MCT1)
19993
9 20231

About Catherine Heddle

Catherine Heddle is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Cellular and Molecular Neuroscience and Health, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (2 papers), Signaling Pathways in Disease (2 papers), Cardiovascular and exercise physiology (1 paper), Muscle metabolism and nutrition (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Galectins and Cancer Biology (1 paper), Streptococcal Infections and Treatments (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Biochemistry (99 citations), Cancer Research (179 citations), Physiology (261 citations), Clinical Biochemistry (69 citations) and Cell Biology (164 citations). Catherine Heddle has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include Andrew P. Halestrap, Marieangela C. Wilson, A. Neil Barclay, Peter Kirk, Arend Bonen, Henriette Pilegaard, Vicky N. Jackson, Nigel T. Price, O. F. Hutter and Carsten Juel. Their work appears in journals such as Drug Metabolism and Disposition, Circulation, Protein Engineering Design and Selection, The Journal of Physiology and American Journal of Physiology-Endocrinology and Metabolism.

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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