Oliver Wildner

2.5k citations
61 papers · 2.0k · h-index 25

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 47
    • Viral Infectious Diseases and Gene Expression in Insects 16
    • RNA Interference and Gene Delivery 8

Oliver Wildner

61 papers receiving 1.9k citations

Peers

Oliver Wildner
Comparison fields: 5 of 102
  • Genetics 1.1k
  • Oncology 663
  • Biotechnology 197
  • Virology 84
  • Immunology 365
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Citations per field
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Citations per year

Countries citing papers authored by Oliver Wildner

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Wildner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999141
2
Therapy of colon cancer with oncolytic adenovirus is enhanced by the addition of herpes simplex virus-thymidine kinase.
1999141
3 2006109
4 2001102
5 201491
6 200589
7 201383
8 200872
9
The role of the E1B 55 kDa gene product in oncolytic adenoviral vectors expressing herpes simplex virus-tk: assessment of antitumor efficacy and toxicity.
200068
10 200064
11 200562
12 200957
13 200941
14 200637
15 200137
16
Enzyme prodrug gene therapy: synergistic use of the herpes simplex virus-cellular thymidine kinase/ganciclovir system and thymidylate synthase inhibitors for the treatment of colon cancer.
199935
17 200734
18 200332
19 201231
20 199928

About Oliver Wildner

Oliver Wildner is a scholar working on Genetics, Molecular Biology, Oncology, Epidemiology and Immunology, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (47 papers), CAR-T cell therapy research (26 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Immunotherapy and Immune Responses (10 papers), Cancer Research and Treatments (9 papers), Herpesvirus Infections and Treatments (9 papers), RNA Interference and Gene Delivery (8 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Genetics (1.1k citations), Oncology (663 citations), Biotechnology (197 citations), Virology (84 citations) and Immunology (365 citations). Oliver Wildner has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Dennis Hoffmann, R. Michael Blaese, John C. Morris, Klaus Überla, Wibke Bayer, Christian Jogler, W. Jay Ramsey, Thomas Grünwald, Nicholas N. Vahanian and Harry Ford. Their work appears in journals such as Human Gene Therapy, Gene Therapy, The Journal of Gene Medicine, Journal of Virology and Vaccine.

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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