C. Shipman

19 papers receiving 666 citations

Peers

C. Shipman
Comparison fields: 5 of 98
  • Pharmaceutical Science 100
  • Virology 62
  • Infectious Diseases 160
  • Epidemiology 257
  • Hepatology 52
Replace D. J. Bauer with:
D. J. Bauer United Kingdom
H.S. Allaudeen United States
John F. Gerster United States
Herbert A. Blough United States
Marcela Krečmerová Czechia
Kathy A. Aldern United States
T D Heath United Kingdom
Shogo Misumi Japan
Martin Mackay United Kingdom
Christopher K. H. Tseng United States
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Citations per year

Countries citing papers authored by C. Shipman

Since Specialization
Citations

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

Fields of papers citing papers by C. Shipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside C. Shipman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Shipman Line = papers co-authored together C. Shipman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1969138
2 1989109
3 199398
4 198790
5 199182
6
Analysis of combinations of antiviral drugs and design of effective multidrug therapies.
199649
7 198643
8 199542
9 198919
10 197215
11 197012
12 197212
13 19759
14
Differential inhibition of mammalian DNA polymerases alpha, beta and gamma and herpes simplex virus-induced DNA polymerase by the 5'-triphosphates of arabinosyladenine and arabinosylcytosine.
19789
15 19835
16 19754
17 19764
18 19752
19 19781

About C. Shipman

C. Shipman is a scholar working on Molecular Biology, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 19 papers that have together received 743 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Polyomavirus and related diseases (2 papers), RNA Interference and Gene Delivery (2 papers), HIV/AIDS drug development and treatment (2 papers), Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers), HIV Research and Treatment (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Pharmaceutical Science (100 citations), Virology (62 citations), Infectious Diseases (160 citations), Epidemiology (257 citations) and Hepatology (52 citations). C. Shipman has collaborated with scholars based in United States, Myanmar and Poland. Frequent co-authors include Mark N. Prichard, Lynn Prichard, Steven R. Turk, John C. Drach, Chandrasekharan Ramachandran, N.A. Williams, N. Weiner, Mahmoud Nassiri, Frederick G. Hayden and S. H. KRAWCZYK. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Pharmaceutical Sciences, Journal of Theoretical Biology, Experimental Biology and Medicine and Journal of General Virology.

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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