Emma E. Carter

696 total citations
8 papers, 560 citations indexed

About

Emma E. Carter is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Emma E. Carter has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in Emma E. Carter's work include Virus-based gene therapy research (2 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Emma E. Carter is often cited by papers focused on Virus-based gene therapy research (2 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Emma E. Carter collaborates with scholars based in United Kingdom, Australia and Germany. Emma E. Carter's co-authors include Kieran Clarke, Enca Martin‐Rendon, Robert D. Barber, Kyriacos Mitrophanous, Jonathan B. Rohll, Nicholas D. Mazarakis, Alan J. Kingsman, Mimoun Azzouz, Susan M. Kingsman and Damian J. Tyler and has published in prestigious journals such as Journal of Neuroscience, The FASEB Journal and Cardiovascular Research.

In The Last Decade

Emma E. Carter

8 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emma E. Carter United Kingdom 7 236 144 109 90 67 8 560
Alessandro Didonna United States 16 417 1.8× 109 0.8× 50 0.5× 208 2.3× 52 0.8× 37 790
Leroy R. Sachleben United States 16 315 1.3× 428 3.0× 176 1.6× 95 1.1× 14 0.2× 18 1.1k
Hendrik Wesseling United Kingdom 15 422 1.8× 287 2.0× 52 0.5× 147 1.6× 17 0.3× 23 794
Juan Ramón Martínez‐François United States 10 519 2.2× 234 1.6× 60 0.6× 259 2.9× 19 0.3× 14 854
Mirta Mihovilovic United States 17 419 1.8× 107 0.7× 52 0.5× 78 0.9× 46 0.7× 33 663
Baohu Ji United States 14 271 1.1× 57 0.4× 93 0.9× 116 1.3× 11 0.2× 26 515
Claus Zabel Germany 18 499 2.1× 142 1.0× 40 0.4× 200 2.2× 19 0.3× 31 801
R. Scott Duncan United States 19 395 1.7× 77 0.5× 69 0.6× 228 2.5× 15 0.2× 31 785
C. Nathaniel Roybal United States 12 439 1.9× 52 0.4× 48 0.4× 130 1.4× 119 1.8× 20 973
Kai Schlepckow Germany 17 640 2.7× 290 2.0× 50 0.5× 56 0.6× 16 0.2× 28 1.3k

Countries citing papers authored by Emma E. Carter

Since Specialization
Citations

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

Fields of papers citing papers by Emma E. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma E. Carter. 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 Emma E. Carter. The network helps show where Emma E. Carter may publish in the future.

Co-authorship network of co-authors of Emma E. Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Emma E. Carter. A scholar is included among the top collaborators of Emma E. Carter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emma E. Carter. Emma E. Carter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Jamil, Amira Hajirah Abd, Renata S. M. Gomes, Emma E. Carter, et al.. (2014). Investigating Mitochondrial Metabolism in Contracting HL-1 Cardiomyocytes Following Hypoxia and Pharmacological HIF Activation Identifies HIF-Dependent and Independent Mechanisms of Regulation. Journal of Cardiovascular Pharmacology and Therapeutics. 19(6). 574–585. 26 indexed citations
2.
Douglas, Gillian, Jennifer K. Bendall, Mark J. Crabtree, et al.. (2012). Endothelial-specific Nox2 overexpression increases vascular superoxide and macrophage recruitment in ApoE−/− mice. Cardiovascular Research. 94(1). 20–29. 93 indexed citations
3.
Heather, Lisa C., Mark A. Cole, Jun Jie Tan, et al.. (2012). Metabolic adaptation to chronic hypoxia in cardiac mitochondria. Basic Research in Cardiology. 107(3). 268–268. 84 indexed citations
4.
Edwards, Lindsay M., Cameron Holloway, Andrew J. Murray, et al.. (2011). Endurance exercise training blunts the deleterious effect of high-fat feeding on whole body efficiency. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 301(2). R320–R326. 6 indexed citations
5.
Atherton, Helen J., Marie Schroeder, Michael S. Dodd, et al.. (2010). Validation of the in vivo assessment of pyruvate dehydrogenase activity using hyperpolarised 13C MRS. NMR in Biomedicine. 24(2). 201–208. 78 indexed citations
6.
Edwards, Lindsay M., Andrew J. Murray, Cameron Holloway, et al.. (2010). Short‐term consumption of a high‐fat diet impairs whole‐body efficiency and cognitive function in sedentary men. The FASEB Journal. 25(3). 1088–1096. 99 indexed citations
7.
Carter, Emma E., et al.. (2004). Neuropathological consequences of delivering an adenoviral vector in the rat brain. The Journal of Gene Medicine. 6(7). 740–750. 4 indexed citations

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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