Ivan Plavec

1.5k citations
26 papers · 1.1k · h-index 19

Impact in

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

Papers in

    • CRISPR and Genetic Engineering 7
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • RNA Interference and Gene Delivery 4
    • Melanoma and MAPK Pathways 2
    • Virus-based gene therapy research 15

Ivan Plavec

25 papers receiving 966 citations

Peers

Ivan Plavec
Comparison fields: 5 of 71
  • Virology 199
  • Genetics 497
  • Immunology 287
  • Molecular Biology 662
  • Oncology 249
Replace James Greger with:
James Greger United States
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Björn G. Voldborg Denmark
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Lorraine Everitt United States
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Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Ivan Plavec

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Plavec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199393
2 199784
3 199877
4 199670
5 200465
6 199764
7 200463
8
Alpha 1-interferon gene transfer into metastatic Friend leukemia cells abrogated tumorigenicity in immunocompetent mice: antitumor therapy by means of interferon-producing cells.
199362
9 200159
10 200056
11 200550
12 200139
13 199539
14 201339
15 200436
16 199931
17 200426
18
Sustained retroviral gene marking and expression in lymphoid and myeloid cells derived from transduced hematopoietic progenitor cells.
199625
19 200020
20 199618

About Ivan Plavec

Ivan Plavec is a scholar working on Molecular Biology, Genetics, Virology, Oncology and Immunology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), HIV Research and Treatment (9 papers), CRISPR and Genetic Engineering (7 papers), Computational Drug Discovery Methods (5 papers), CAR-T cell therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), RNA Interference and Gene Delivery (4 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Virology (199 citations), Genetics (497 citations), Immunology (287 citations), Molecular Biology (662 citations) and Oncology (249 citations). Ivan Plavec has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Ernst Böhnlein, Ellen L. Berg, Jingyi Chen, Evangelos Hytopoulos, Manju Agarwal, Eric J. Kunkel, Sean Forestell, F Meyer, Sonia Escaich and Qi Dang. Their work appears in journals such as Human Gene Therapy, Journal of Virology, Assay and Drug Development Technologies, Virology and The Journal of Immunology.

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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