Ágnes Jáni

6.6k citations
18 papers · 5.2k indexed · 2 hit papers · h-index 15

Impact in

  • Genetics top 0.5%
    • Virus-based gene therapy research
  • Immunology top 2%
    • Immunotherapy and Immune Responses

Papers in

Ágnes Jáni

18 papers receiving 4.9k citations

Hit Papers

Long-term persistence of plasmid DNA and foreign gone expression in mouse muscle 1992 · 619 citations
619199020262002201410002.0k3.0k

Peers

Ágnes Jáni
Comparison fields: 5 of 114
  • Genetics 2.1k
  • Immunology 1.3k
  • Molecular Biology 3.6k
  • Biotechnology 355
  • Virology 180
Replace Robert G. Whalen with:
Robert G. Whalen France
Gyula Acsádi United States
Varavani Dwarki United States
Michael J. Imperiale United States
J. Fraser Wright United States
Zhiyong Yang United States
Ralf F. Pettersson Sweden
Uri Galili United States
Sayda M. Elbashir United States
Manuel Grez Germany
Ágnes Jáni relative to Robert G. Whalen France Robert G. Whalen's profile →
Citations per field
00.5×8.7×
Robert G. Whalen · 1×
Citations per year

Countries citing papers authored by Ágnes Jáni

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Jáni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 2002140
2 200119
3 200064
4 19997
5 199913
6 199821
7 199726
8 199630
9 1996129
10 199557
11 1994154
12 1994177
13
Cultured human myoblasts and myotubes show markedly different transducibility by replication-defective adenovirus recombinants.
199473
14 199279
15
Long-term persistence of plasmid DNA and foreign gone expression in mouse muscle
Hit paper breakdown →
1992619
16 1991382
17
Direct Gene Transfer into Mouse Muscle in Vivo
Hit paper breakdown →
19903179
18 198014

About Ágnes Jáni

Ágnes Jáni is a scholar working on Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 5.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Muscle Physiology and Disorders (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), RNA Interference and Gene Delivery (4 papers), Viral Infections and Immunology Research (3 papers), Hereditary Neurological Disorders (3 papers), Nerve injury and regeneration (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (2.1k citations), Immunology (1.3k citations), Molecular Biology (3.6k citations), Biotechnology (355 citations) and Virology (180 citations). Ágnes Jáni has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Gyula Acsádi, Jon A. Wolff, Philip L. Felgner, Phillip Williams, Chong Wang, Robert W. Malone, Philip M. Williams, James J. Ludtke, George Karpati and Bernard Massie. Their work appears in journals such as Human Gene Therapy, Experimental Neurology, Human Molecular Genetics, Brain and Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026