Terry G. Wise

860 citations
17 papers · 641 · h-index 13

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • RNA Interference and Gene Delivery 5
    • Animal Genetics and Reproduction 7
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2

Terry G. Wise

17 papers receiving 615 citations

Peers

Terry G. Wise
Comparison fields: 5 of 51
  • Virology 59
  • Infectious Diseases 224
  • Genetics 244
  • Epidemiology 194
  • Animal Science and Zoology 43
Replace Frédérick Arnaud with:
Frédérick Arnaud France
R. M. Elliott United Kingdom
Keshan Zhang China
Janine A. Duckworth New Zealand
Laurie A. Baeten United States
Jennifer Harper Australia
P A Schneider United States
Yao E. Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Terry G. Wise

Since Specialization
Citations

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

Fields of papers citing papers by Terry G. Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terry G. Wise. 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 Terry G. Wise. The network helps show where Terry G. Wise may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001113
2 201379
3 200175
4 201469
5 201647
6 200743
7 201140
8 201540
9 201629
10 200726
11 202124
12 202024
13 201812
14
Native microRNA loop sequences can improve short hairpin RNA processing for virus gene silencing in animal cells.
200812
15 19944
16 20252
17 20212

About Terry G. Wise

Terry G. Wise is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 641 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (7 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (5 papers), Viral Infections and Vectors (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Virology and Viral Diseases (2 papers), Vector-Borne Animal Diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Virology (59 citations), Infectious Diseases (224 citations), Genetics (244 citations), Epidemiology (194 citations) and Animal Science and Zoology (43 citations). Terry G. Wise has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Timothy J. Doran, Alex D. Hyatt, Terri E. O’Neil, Kirsten R. Morris, Kristie A. Jenkins, Meng Yu, Lin‐Fa Wang, Sherif R. Zaki, Cynthia S. Goldsmith and Sai Kit Lam. Their work appears in journals such as Transgenic Research, Endocrinology, Microbes and Infection, BMC Biotechnology and 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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