Mario Cooper

1.0k citations
15 papers · 872 · h-index 11

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects
    • Retinal Development and Disorders

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • CRISPR and Genetic Engineering 3
    • Virus-based gene therapy research 6

Mario Cooper

14 papers receiving 840 citations

Peers

Mario Cooper
Comparison fields: 5 of 70
  • Genetics 560
  • Molecular Biology 540
  • Immunology 143
  • Oncology 152
  • Infectious Diseases 96
Replace D E Brough with:
D E Brough United States
Lawrence T. Feldman United States
Hilde Stubdal United States
Martin Lock United States
Emma Nilsson Sweden
Judy A. Small United States
Olivier ter Brake Netherlands
Jianping Lin United States
Mathieu Nonnenmacher United States
Richard B. Tenser United States
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Citations per field
00.5×11.3×
D E Brough · 1×
Citations per year

Countries citing papers authored by Mario Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Mario Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008460
2 200984
3 200978
4 200949
5 197235
6 201733
7 197230
8 196729
9 197223
10 197220
11 201411
12 19719
13 19808
14 19773
15 20230

About Mario Cooper

Mario Cooper is a scholar working on Molecular Biology, Genetics, Oncology, Small Animals and Agronomy and Crop Science, having authored 15 papers that have together received 872 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), CRISPR and Genetic Engineering (3 papers), Vitamin C and Antioxidants Research (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Genetics (560 citations), Molecular Biology (540 citations), Immunology (143 citations), Oncology (152 citations) and Infectious Diseases (96 citations). Mario Cooper has collaborated with scholars based in United States, Australia and Honduras. Frequent co-authors include Roland W. Herzog, Zhong Li, L. Govindasamy, Mavis Agbandje‐McKenna, Arun Srivastava, Irene Zolotukhin, Jacqueline A. Hobbs, Baozheng Li, Cathryn Mah and Nicholas Muzyczka. Their work appears in journals such as Scandinavian Journal of Immunology, New Zealand Veterinary Journal, Cellular Immunology, Molecular Therapy and Human Gene Therapy.

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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