C. Shipman

19 papers receiving 634 citations

Peers

C. Shipman
Comparison fields: 5 of 99
  • Virology 64
  • Pharmaceutical Science 80
  • Infectious Diseases 161
  • Epidemiology 256
  • Hepatology 56
Replace H.S. Allaudeen with:
H.S. Allaudeen United States
Marcela Krečmerová Czechia
John F. Gerster United States
Herbert A. Blough United States
D. Reymen Belgium
Kathy A. Aldern United States
Haruo Takaku Japan
Shogo Misumi Japan
Jae Hoon Shim United States
Martin Mackay United Kingdom
C. Shipman relative to H.S. Allaudeen United States H.S. Allaudeen's profile →
Citations per field
00.5×7.3×
H.S. Allaudeen · 1×
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 17 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 1969128
2 199394
3 198989
4 198786
5 199180
6
Analysis of combinations of antiviral drugs and design of effective multidrug therapies.
199648
7 198642
8 199539
9 198919
10 197215
11 197212
12 19709
13
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.
19788
14 19758
15 19835
16 19764
17 19753
18 19751
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 691 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), HIV Research and Treatment (2 papers), Virus-based gene therapy research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Biochemical and Molecular Research (2 papers), Polyomavirus and related diseases (2 papers), RNA Interference and Gene Delivery (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Virology (64 citations), Pharmaceutical Science (80 citations), Infectious Diseases (161 citations), Epidemiology (256 citations) and Hepatology (56 citations). C. Shipman has collaborated with scholars based in United States, Poland and Myanmar. Frequent co-authors include Mark N. Prichard, Steven R. Turk, John C. Drach, Mahmoud Nassiri, N. Weiner, N.A. Williams, Chandrasekharan Ramachandran, Frederick G. Hayden, S. H. KRAWCZYK and L. B. TOWNSEND. Their work appears in journals such as Journal of Pharmaceutical Sciences, Antimicrobial Agents and Chemotherapy, Journal of Theoretical Biology, Antiviral chemistry & chemotherapy 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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