Takis Athanasopoulos

1.8k citations
40 papers · 1.2k · h-index 19

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Muscle Physiology and Disorders 13
    • RNA Interference and Gene Delivery 10
    • CRISPR and Genetic Engineering 9
    • Virus-based gene therapy research 23

Takis Athanasopoulos

39 papers receiving 1.1k citations

Peers

Takis Athanasopoulos
Comparison fields: 5 of 84
  • Virology 88
  • Genetics 430
  • Molecular Biology 751
  • Pharmaceutical Science 58
  • Immunology 148
Replace Paola Rimessi with:
Paola Rimessi Italy
Cécile Chartier United States
Andrea Calabria Italy
Matilda F. Chan United States
Cristina Hernández-Munaín Spain
Colette Aprhys United States
Marie-Anne Germain Canada
David Onion United Kingdom
Jennifer Navarre United States
M. Fabris Italy
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Citations per field
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Citations per year

Countries citing papers authored by Takis Athanasopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Takis Athanasopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009119
2 201792
3 200889
4 201188
5 200181
6 201379
7 201378
8 201150
9 201148
10 200447
11 200837
12 201434
13 201134
14 200933
15 200029
16 201026
17 200025
18 200223
19 201921
20 201518

About Takis Athanasopoulos

Takis Athanasopoulos is a scholar working on Molecular Biology, Genetics, Immunology, Cardiology and Cardiovascular Medicine and Virology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Muscle Physiology and Disorders (13 papers), RNA Interference and Gene Delivery (10 papers), CRISPR and Genetic Engineering (9 papers), Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (5 papers), Viral Infections and Immunology Research (5 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Virology (88 citations), Genetics (430 citations), Molecular Biology (751 citations), Pharmaceutical Science (58 citations) and Immunology (148 citations). Takis Athanasopoulos has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include George Dickson, Linda Popplewell, Helen Foster, Taeyoung Koo, Rafael J. Yáñez‐Muñoz, Capucine Trollet, Mustafa M. Munye, Ian R. Graham, Keith Foster and Alberto Malerba. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, Gene Therapy, Neuromuscular Disorders and Retrovirology.

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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