Ian Wayne Cheney

14 papers receiving 763 citations

Peers

Ian Wayne Cheney
Comparison fields: 5 of 67
  • Hepatology 92
  • Pathology and Forensic Medicine 161
  • Infectious Diseases 117
  • Molecular Biology 407
  • Agronomy and Crop Science 57
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S Mochizuki Japan
Jennifer Mariner United States
Deborah Silvera United States
Gen Wang Canada
PH Krammer Germany
C. S. Gilbert United Kingdom
Chikako Takaoka Japan
Douglas A. Dedera United States
Weimei Xing United States
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Citations per year

Countries citing papers authored by Ian Wayne Cheney

Since Specialization
Citations

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

Fields of papers citing papers by Ian Wayne Cheney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Wayne Cheney. 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 Ian Wayne Cheney. The network helps show where Ian Wayne Cheney may publish in the future.

Co-authors

The 25 scholars most cited alongside Ian Wayne Cheney, 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 Ian Wayne Cheney Line = papers co-authored together Ian Wayne Cheney links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Suppression of tumorigenicity of glioblastoma cells by adenovirus-mediated MMAC1/PTEN gene transfer.
1998169
2 2007159
3
Adenovirus-mediated gene transfer of MMAC1/PTEN to glioblastoma cells inhibits S phase entry by the recruitment of p27Kip1 into cyclin E/CDK2 complexes.
1999108
4 199879
5 200273
6 200456
7 200247
8 199423
9 199621
10 199520
11 200316
12 200514
13 199511
14 20241

About Ian Wayne Cheney

Ian Wayne Cheney is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Hepatology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 14 papers that have together received 797 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Vector-Borne Animal Diseases (4 papers), Viral Infections and Immunology Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Disease Management and Epidemiology (2 papers), Plant Virus Research Studies (2 papers), Bacteriophages and microbial interactions (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Hepatology (92 citations), Pathology and Forensic Medicine (161 citations), Infectious Diseases (117 citations), Molecular Biology (407 citations) and Agronomy and Crop Science (57 citations). Ian Wayne Cheney has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Robert Bookstein, Jim Zhen Wu, Todd C. Appleby, Nanhua Yao, Weidong Zhong, Saskia Neuteboom, Murali Ramachandra, Zhi Hong, Zhi Hong and Robert K. Hamatake. Their work appears in journals such as Journal of Virology, Virus Research, Virology, Molecular and Cellular Biology and Bioorganic & Medicinal Chemistry Letters.

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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