Christopher B. Glascock

915 total citations
9 papers, 655 citations indexed

About

Christopher B. Glascock is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Christopher B. Glascock has authored 9 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Christopher B. Glascock's work include interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers) and HIV Research and Treatment (1 paper). Christopher B. Glascock is often cited by papers focused on interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers) and HIV Research and Treatment (1 paper). Christopher B. Glascock collaborates with scholars based in United States, Germany and Canada. Christopher B. Glascock's co-authors include Michael J. Weickert, Robert M. Goodman, Daniel C. Alexander, E. R. Ward, Kristianna B. Weymann, Patricia Ahl-Goy, Leslie Friedrich, Thomas L. Luntz, Richard S. Blackmore and Izydor Apostoł and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Christopher B. Glascock

9 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher B. Glascock United States 7 379 290 89 70 54 9 655
Shunji Yuki Japan 14 552 1.5× 539 1.9× 25 0.3× 36 0.5× 32 0.6× 14 871
D. Thinès Belgium 9 127 0.3× 362 1.2× 62 0.7× 141 2.0× 87 1.6× 10 594
Atuko Kohara Japan 8 321 0.8× 463 1.6× 14 0.2× 35 0.5× 40 0.7× 14 624
Pascal Damay Switzerland 11 89 0.2× 558 1.9× 41 0.5× 120 1.7× 73 1.4× 11 709
Jianning Yin China 8 188 0.5× 277 1.0× 16 0.2× 59 0.8× 38 0.7× 12 438
Didier Breyer Belgium 9 94 0.2× 237 0.8× 13 0.1× 33 0.5× 47 0.9× 18 351
Brian D. Peyser United States 12 57 0.2× 433 1.5× 79 0.9× 32 0.5× 97 1.8× 21 597
Yo Kikuchi Japan 14 155 0.4× 788 2.7× 55 0.6× 14 0.2× 18 0.3× 55 885
Sharon P. Moore United States 12 172 0.5× 342 1.2× 17 0.2× 14 0.2× 41 0.8× 25 477
Yunli Guo China 8 225 0.6× 300 1.0× 56 0.6× 13 0.2× 62 1.1× 17 554

Countries citing papers authored by Christopher B. Glascock

Since Specialization
Citations

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

Fields of papers citing papers by Christopher B. Glascock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher B. Glascock. 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 Christopher B. Glascock. The network helps show where Christopher B. Glascock may publish in the future.

Co-authorship network of co-authors of Christopher B. Glascock

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

All Works

9 of 9 papers shown
1.
Kompala, Dhinakar S., et al.. (2018). Single use plastic settlers for clarifying cell culture broth, selective removal of dead cells and affinity capture of antibodies on protein A beads. 1 indexed citations
2.
Huynh, Q K, Sarah Wise, Keith A. Koch, et al.. (2011). Screening and Identification of a Novel Class of TGF-β Type 1 Receptor Kinase Inhibitor. SLAS DISCOVERY. 16(7). 724–733. 6 indexed citations
3.
Swenson, Luke C., Andrew Low, Alexander Thielen, et al.. (2010). Improved Detection of CXCR4-Using HIV by V3 Genotyping: Application of Population-Based and “Deep” Sequencing to Plasma RNA and Proviral DNA. JAIDS Journal of Acquired Immune Deficiency Syndromes. 54(5). 506–510. 66 indexed citations
4.
5.
Thielen, Alexander, Winnie Dong, Andrew Low, et al.. (2008). Improved Detection of X4 Virus by V3 Genotyping: Application to Plasma RNA and Proviral DNA. Max Planck Institute for Plasma Physics. 5 indexed citations
6.
Weickert, Michael J., et al.. (1999). A Mutation That Improves Soluble Recombinant Hemoglobin Accumulation in Escherichia coli in Heme Excess. Applied and Environmental Microbiology. 65(2). 640–647. 35 indexed citations
7.
8.
Apostoł, Izydor, Joseph Levine, Edward Hess, et al.. (1997). Incorporation of Norvaline at Leucine Positions in Recombinant Human Hemoglobin Expressed in Escherichia coli. Journal of Biological Chemistry. 272(46). 28980–28988. 73 indexed citations
9.
Alexander, Daniel C., Robert M. Goodman, Christopher B. Glascock, et al.. (1993). Increased tolerance to two oomycete pathogens in transgenic tobacco expressing pathogenesis-related protein 1a.. Proceedings of the National Academy of Sciences. 90(15). 7327–7331. 411 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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