Emma J. Mead

619 total citations
11 papers, 482 citations indexed

About

Emma J. Mead is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Emma J. Mead has authored 11 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Emma J. Mead's work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), RNA and protein synthesis mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Emma J. Mead is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (5 papers), RNA and protein synthesis mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Emma J. Mead collaborates with scholars based in United Kingdom, Ireland and Portugal. Emma J. Mead's co-authors include Nicola Robas, Mark Fidock, Janet J. Maguire, Rhoda E. Kuc, Anthony P. Davenport, C. Mark Smales, Tobias von der Haar, Aristeidis Sfakianos, Nikola Vlahov and Stefano Grosso and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Emma J. Mead

11 papers receiving 474 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 J. Mead United Kingdom 8 319 130 122 69 55 11 482
Tania Sorg France 15 306 1.0× 78 0.6× 63 0.5× 33 0.5× 83 1.5× 27 571
Cho Rong Park South Korea 11 207 0.6× 164 1.3× 73 0.6× 42 0.6× 24 0.4× 16 429
Masato Suenaga Japan 8 227 0.7× 145 1.1× 291 2.4× 35 0.5× 24 0.4× 17 537
Gilles Bruneau France 13 237 0.7× 78 0.6× 312 2.6× 106 1.5× 52 0.9× 34 651
Edward L. Oates United States 12 311 1.0× 106 0.8× 31 0.3× 81 1.2× 69 1.3× 17 633
M. G. Juarranz Spain 9 174 0.5× 270 2.1× 29 0.2× 57 0.8× 50 0.9× 14 435
Olga Villamar‐Cruz Mexico 13 335 1.1× 40 0.3× 73 0.6× 95 1.4× 16 0.3× 20 635
Milene Kong Chile 17 291 0.9× 48 0.4× 291 2.4× 60 0.9× 28 0.5× 24 660
M. Cressent France 13 188 0.6× 203 1.6× 49 0.4× 47 0.7× 21 0.4× 33 383
Dietrich Grube Germany 14 262 0.8× 178 1.4× 64 0.5× 14 0.2× 32 0.6× 23 540

Countries citing papers authored by Emma J. Mead

Since Specialization
Citations

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

Fields of papers citing papers by Emma J. Mead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma J. Mead

This figure shows the co-authorship network connecting the top 25 collaborators of Emma J. Mead. A scholar is included among the top collaborators of Emma J. Mead 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 J. Mead. Emma J. Mead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mead, Emma J., Patrick B. F. O’Connor, Owen J. Sansom, et al.. (2022). Evaluating data integrity in ribosome footprinting datasets through modelled polysome profiles. Nucleic Acids Research. 50(19). e112–e112. 2 indexed citations
2.
Knight, John R. P., Gavin D. Garland, Tuija Pöyry, et al.. (2020). Control of translation elongation in health and disease. Disease Models & Mechanisms. 13(3). 62 indexed citations
3.
Mead, Emma J., et al.. (2019). Application of ER Stress Biomarkers to Predict Formulated Monoclonal Antibody Stability. Biotechnology Journal. 14(10). e1900024–e1900024. 7 indexed citations
4.
5.
6.
Mead, Emma J., et al.. (2014). Control and regulation of mRNA translation. Biochemical Society Transactions. 42(1). 151–154. 2 indexed citations
7.
Mead, Emma J., Sarah K. Spurgeon, Elaine Martin, et al.. (2012). Experimental and In Silico Modelling Analyses of the Gene Expression Pathway for Recombinant Antibody and By-Product Production in NS0 Cell Lines. PLoS ONE. 7(10). e47422–e47422. 13 indexed citations
8.
Maguire, Janet J., Emma J. Mead, Rhoda E. Kuc, et al.. (2011). Inotropic Action of the Puberty Hormone Kisspeptin in Rat, Mouse and Human: Cardiovascular Distribution and Characteristics of the Kisspeptin Receptor. PLoS ONE. 6(11). e27601–e27601. 24 indexed citations
9.
Mead, Emma J., et al.. (2008). Identification of the limitations on recombinant gene expression in CHO cell lines with varying luciferase production rates. Biotechnology and Bioengineering. 102(6). 1593–1602. 28 indexed citations
10.
Mead, Emma J., Janet J. Maguire, Rhoda E. Kuc, & Anthony P. Davenport. (2006). Kisspeptins Are Novel Potent Vasoconstrictors in Humans, with a Discrete Localization of Their Receptor, G Protein-Coupled Receptor 54, to Atherosclerosis-Prone Vessels. Endocrinology. 148(1). 140–147. 113 indexed citations
11.
Robas, Nicola, Emma J. Mead, & Mark Fidock. (2003). MrgX2 Is a High Potency Cortistatin Receptor Expressed in Dorsal Root Ganglion. Journal of Biological Chemistry. 278(45). 44400–44404. 203 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tania Sorg Breakdown of academic impact, for papers by Cho Rong Park Breakdown of academic impact, for papers by Masato Suenaga Breakdown of academic impact, for papers by Gilles Bruneau Breakdown of academic impact, for papers by Edward L. Oates Breakdown of academic impact, for papers by M. G. Juarranz Breakdown of academic impact, for papers by Olga Villamar‐Cruz Breakdown of academic impact, for papers by Milene Kong Breakdown of academic impact, for papers by M. Cressent Breakdown of academic impact, for papers by Dietrich Grube
Rankless by CCL
2026