C. Mark Smales

4.3k total citations · 1 hit paper
115 papers, 3.4k citations indexed

About

C. Mark Smales is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, C. Mark Smales has authored 115 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 25 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Genetics. Recurrent topics in C. Mark Smales's work include Viral Infectious Diseases and Gene Expression in Insects (57 papers), Protein purification and stability (33 papers) and Monoclonal and Polyclonal Antibodies Research (25 papers). C. Mark Smales is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (57 papers), Protein purification and stability (33 papers) and Monoclonal and Polyclonal Antibodies Research (25 papers). C. Mark Smales collaborates with scholars based in United Kingdom, Australia and Ireland. C. Mark Smales's co-authors include Mohamed B. Al‐Fageeh, Daniel G. Bracewell, David C. James, Catherine E.M. Hogwood, Martin J. Carden, Andrew J. Racher, Anne Roobol, Mark J. Howard, John Birch and Jane F. Povey and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

C. Mark Smales

114 papers receiving 3.3k citations

Hit Papers

N1-methylpseudouridylation of mRNA causes +1 ribosomal fr... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Mark Smales United Kingdom 32 2.6k 734 438 267 234 115 3.4k
Konrad Büssow Germany 28 2.5k 0.9× 738 1.0× 346 0.8× 95 0.4× 392 1.7× 62 3.5k
F. Niesen United Kingdom 19 2.7k 1.0× 219 0.3× 261 0.6× 191 0.7× 186 0.8× 25 3.5k
Tauseef R. Butt United States 37 3.5k 1.3× 416 0.6× 731 1.7× 246 0.9× 403 1.7× 77 4.8k
Dianne L. Newton United States 35 3.1k 1.2× 357 0.5× 689 1.6× 285 1.1× 768 3.3× 87 4.6k
Marina V. Serebryakova Russia 32 2.2k 0.8× 219 0.3× 370 0.8× 147 0.6× 329 1.4× 191 3.4k
J. Richard Sportsman United States 18 2.3k 0.9× 417 0.6× 333 0.8× 90 0.3× 359 1.5× 34 3.9k
A. Jimmy Ytterberg Sweden 36 3.1k 1.2× 313 0.4× 468 1.1× 82 0.3× 533 2.3× 54 4.6k
Indu Parikh United States 27 2.4k 0.9× 622 0.8× 590 1.3× 208 0.8× 559 2.4× 57 4.1k
Tony Atkinson United Kingdom 39 3.0k 1.2× 242 0.3× 486 1.1× 292 1.1× 170 0.7× 149 4.3k
Geoffrey W. Birrell Australia 29 2.0k 0.8× 242 0.3× 409 0.9× 89 0.3× 170 0.7× 68 3.0k

Countries citing papers authored by C. Mark Smales

Since Specialization
Citations

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

Fields of papers citing papers by C. Mark Smales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Mark Smales. 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 C. Mark Smales. The network helps show where C. Mark Smales may publish in the future.

Co-authorship network of co-authors of C. Mark Smales

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

All Works

20 of 20 papers shown
1.
Hind, Charlotte K., Matthew E. Wand, Kevin Howland, et al.. (2023). A cell-free strategy for host-specific profiling of intracellular antibiotic sensitivity and resistance. PubMed. 1(1). 16–16. 5 indexed citations
2.
Beal, David M., Mingzhi Liang, Ian R. Brown, et al.. (2023). Modification of bacterial microcompartments with target biomolecules via post-translational SpyTagging. Materials Advances. 4(14). 2963–2970. 5 indexed citations
3.
Mulroney, Thomas E., Tuija Pöyry, Juan Carlos Yam‐Puc, et al.. (2023). N1-methylpseudouridylation of mRNA causes +1 ribosomal frameshifting. Nature. 625(7993). 189–194. 116 indexed citations breakdown →
4.
Haar, Tobias von der, Thomas E. Mulroney, Kathryn S. Lilley, et al.. (2023). Translation of in vitro-transcribed RNA therapeutics. Frontiers in Molecular Biosciences. 10. 1128067–1128067. 6 indexed citations
5.
Ellis, Mark, David P. Humphreys, Paul E. Stephens, et al.. (2021). A comparative analysis of recombinant Fab and full‐length antibody production in Chinese hamster ovary cells. Biotechnology and Bioengineering. 118(12). 4815–4828. 9 indexed citations
6.
Bracewell, Daniel G., et al.. (2021). Analytics of host cell proteins (HCPs): lessons from biopharmaceutical mAb analysis for Gene therapy products. Current Opinion in Biotechnology. 71. 98–104. 19 indexed citations
9.
Povey, Jane F., Adewale Victor Aderemi, Florian Rothweiler, et al.. (2019). Intact-Cell MALDI-ToF Mass Spectrometry for the Authentication of Drug-Adapted Cancer Cell Lines. Cells. 8(10). 1194–1194. 3 indexed citations
10.
Bastide, Amandine, Diego Peretti, John R. P. Knight, et al.. (2017). RTN3 Is a Novel Cold-Induced Protein and Mediates Neuroprotective Effects of RBM3. Current Biology. 27(5). 638–650. 55 indexed citations
11.
Knight, John R. P., Amandine Bastide, Diego Peretti, et al.. (2016). Cooling-induced SUMOylation of EXOSC10 down-regulates ribosome biogenesis. RNA. 22(4). 623–635. 26 indexed citations
12.
Rooney, Barrie C., et al.. (2015). Expression of Trypanosoma brucei gambiense Antigens in Leishmania tarentolae. Potential for Use in Rapid Serodiagnostic Tests (RDTs). PLoS neglected tropical diseases. 9(12). e0004271–e0004271. 10 indexed citations
13.
Smales, C. Mark, et al.. (2011). Engineering the Chaperone Network of CHO Cells for Optimal Recombinant Protein Production and Authenticity. Methods in molecular biology. 824. 595–608. 9 indexed citations
14.
Smales, C. Mark, et al.. (2007). Transient Gene Expression Levels from Multigene Expression Vectors. Biotechnology Progress. 23(2). 435–443. 23 indexed citations
15.
Birch, John, et al.. (2005). eIF2α phosphorylation, stress perception, and the shutdown of global protein synthesis in cultured CHO cells. Biotechnology and Bioengineering. 89(7). 805–814. 26 indexed citations
16.
Smales, C. Mark & David C. James. (2005). Therapeutic proteins : methods and protocols. Humana Press eBooks. 67 indexed citations
17.
Smales, C. Mark, et al.. (2005). Characterization of Therapeutic Proteins by Membrane and In-Gel Tryptic Digestion. Humana Press eBooks. 308. 375–380. 4 indexed citations
18.
Willingham, Mark C., Giulia Caron, David C. James, C. Mark Smales, & Gary K. Robinson. (2005). Monitoring changes in nisin susceptibility of Listeria monocytogenes Scott A as an indicator of growth phase using FACS. Journal of Microbiological Methods. 66(1). 43–55. 12 indexed citations
19.
Willingham, Mark C., David C. James, Gary K. Robinson, & C. Mark Smales. (2004). Global changes in gene expression observed at the transition from growth to stationary phase in Listeria monocytogenes ScottA batch culture. PROTEOMICS. 4(1). 123–135. 11 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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