Kevin D. Smith

1.7k total citations
48 papers, 1.2k citations indexed

About

Kevin D. Smith is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Kevin D. Smith has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Organic Chemistry. Recurrent topics in Kevin D. Smith's work include Glycosylation and Glycoproteins Research (22 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Carbohydrate Chemistry and Synthesis (8 papers). Kevin D. Smith is often cited by papers focused on Glycosylation and Glycoproteins Research (22 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Carbohydrate Chemistry and Synthesis (8 papers). Kevin D. Smith collaborates with scholars based in United Kingdom, United States and Canada. Kevin D. Smith's co-authors include Eric J. Brown, Elizabeth F. Hounsell, Ryan L. Ragland, Michael J. Davies, Moira A. Elliott, WF Rowe, W. A. MacCrehan, David W. Schoppy, Oren Gilad and Barzin Y. Nabet and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Kevin D. Smith

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin D. Smith United Kingdom 21 838 246 205 156 115 48 1.2k
Dominik A. Megger Germany 25 1.1k 1.3× 365 1.5× 261 1.3× 97 0.6× 115 1.0× 47 1.7k
Erik J. Spek United States 12 1.2k 1.4× 139 0.6× 529 2.6× 136 0.9× 64 0.6× 13 1.5k
Kenneth M. Comess United States 16 756 0.9× 279 1.1× 69 0.3× 89 0.6× 189 1.6× 17 1.2k
Daikichi Fukushima Japan 19 793 0.9× 232 0.9× 72 0.4× 151 1.0× 313 2.7× 31 1.9k
Maureen Brennan United States 13 1.1k 1.3× 173 0.7× 126 0.6× 150 1.0× 82 0.7× 21 1.5k
Richard I. Christopherson Australia 28 1.7k 2.1× 296 1.2× 141 0.7× 124 0.8× 157 1.4× 131 2.4k
Kareem A. H. Chehade United States 11 771 0.9× 351 1.4× 82 0.4× 134 0.9× 338 2.9× 13 1.2k
Jiang Wu United States 20 1.1k 1.3× 128 0.5× 762 3.7× 101 0.6× 66 0.6× 43 1.8k
Naseruddin Höti United States 20 1.4k 1.6× 328 1.3× 304 1.5× 76 0.5× 182 1.6× 47 1.7k
Chuanbing Bian China 17 1.2k 1.4× 201 0.8× 51 0.2× 98 0.6× 39 0.3× 24 1.5k

Countries citing papers authored by Kevin D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Smith. 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 Kevin D. Smith. The network helps show where Kevin D. Smith may publish in the future.

Co-authorship network of co-authors of Kevin D. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Smith. A scholar is included among the top collaborators of Kevin D. Smith 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 Kevin D. Smith. Kevin D. Smith 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.
2.
Comerford, Eithne, et al.. (2020). Investigation of fibrillin microfibrils in the canine cruciate ligament in dogs with different predispositions to ligament rupture. Research in Veterinary Science. 133. 53–58. 2 indexed citations
3.
Dhiman, Heena, et al.. (2020). Predicting favorable landing pads for targeted integrations in Chinese hamster ovary cell lines by learning stability characteristics from random transgene integrations. Computational and Structural Biotechnology Journal. 18. 3632–3648. 26 indexed citations
4.
Templeton, Neil, Kevin D. Smith, Haimanti Dorai, et al.. (2017). Application of 13C flux analysis to identify high-productivity CHO metabolic phenotypes. Metabolic Engineering. 43(Pt B). 218–225. 46 indexed citations
5.
Smith, Kevin D., Kei Hayashi, Dylan N. Clements, et al.. (2017). Variation in the Quantity of Elastic Fibres with Degeneration in Canine Cranial Cruciate Ligaments from Labrador Retrievers. Veterinary and Comparative Orthopaedics and Traumatology. 30(6). 398–402. 5 indexed citations
6.
Templeton, Neil, A.C. Lewis, Haimanti Dorai, et al.. (2014). The impact of anti-apoptotic gene Bcl-2∆ expression on CHO central metabolism. Metabolic Engineering. 25. 92–102. 45 indexed citations
7.
Ragland, Ryan L., et al.. (2013). RNF4 and PLK1 are required for replication fork collapse in ATR-deficient cells. Genes & Development. 27(20). 2259–2273. 86 indexed citations
8.
Smith, Kevin D., Anne Vaughan‐Thomas, David G. Spiller, et al.. (2012). Variations in cell morphology in the canine cruciate ligament complex. The Veterinary Journal. 193(2). 561–566. 3 indexed citations
9.
Gilad, Oren, Barzin Y. Nabet, Ryan L. Ragland, et al.. (2010). Combining ATR Suppression with Oncogenic Ras Synergistically Increases Genomic Instability, Causing Synthetic Lethality or Tumorigenesis in a Dosage-Dependent Manner. Cancer Research. 70(23). 9693–9702. 173 indexed citations
10.
Smith, Kevin D., et al.. (2010). The analysis of glycosylation: a continued need for high pH anion exchange chromatography. Biomedical Chromatography. 25(1-2). 39–46. 21 indexed citations
11.
Urtishak, Karen, et al.. (2008). Timeless Maintains Genomic Stability and Suppresses Sister Chromatid Exchange during Unperturbed DNA Replication. Journal of Biological Chemistry. 284(13). 8777–8785. 34 indexed citations
12.
Smith, Kevin D., et al.. (2006). The efficacy of certain anti‐tuberculosis drugs is affected by binding to α‐1‐acid glycoprotein. Biomedical Chromatography. 20(6-7). 551–560. 16 indexed citations
13.
Smith, Kevin D., et al.. (2003). Structural Profiling of Oligosaccharides of Glycoproteins. Humana Press eBooks. 32. 143–156. 2 indexed citations
14.
Lim, Chang Kee, et al.. (2003). Analysis of the interaction between alpha‐1‐acid glycoprotein and tamoxifen and its metabolites. Biomedical Chromatography. 17(2-3). 143–148. 20 indexed citations
15.
Elliott, Moira A., et al.. (2002). Further observations on the debated ability of AGP to bind imatinib. Blood. 100(1). 367–369. 3 indexed citations
16.
Hayes, Peter, et al.. (2002). A preliminary evaluation of the differences in the glycosylation of alpha‐1‐acid glycoprotein between individual liver diseases. Biomedical Chromatography. 16(6). 365–372. 34 indexed citations
17.
Elliott, Moira A., Heather G. Jørgensen, & Kevin D. Smith. (1998). Hypersialylation of α1‐Acid Glycoprotein in Rheumatoid Arthritis. Pharmacy and Pharmacology Communications. 4(11). 545–547. 5 indexed citations
18.
Jørgensen, Heather G., et al.. (1998). α1‐Acid Glycoprotein Derived from the Human Hepatoma Cell Line HepG2, and which Overexpresses Fucose, can Function as a Ligand for E‐selectin. Pharmacy and Pharmacology Communications. 4(2). 123–127. 2 indexed citations
19.
Smith, Kevin D., et al.. (1994). Heterogeneity of α1-acid glycoprotein in rheumatoid arthritis. Journal of Chromatography B Biomedical Sciences and Applications. 661(1). 7–14. 21 indexed citations
20.
Smith, Kevin D., et al.. (1990). Enzyme degradation, high performance liquid chromatography and liquid secondary ion mass spectrometry in the analysis of glycoproteins. Biomedical Chromatography. 4(6). 261–266. 12 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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