Georg Widera

4.0k citations
37 papers · 3.2k · h-index 28

Impact in

  • Immunology top 1%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Biotechnology top 0.5%
    • Microbial Inactivation Methods
    • Transgenic Plants and Applications

Papers in

Georg Widera

37 papers receiving 3.0k citations

Peers

Georg Widera
Comparison fields: 5 of 109
  • Immunology 1.5k
  • Biotechnology 616
  • Virology 200
  • Pharmaceutical Science 228
  • Genetics 620
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Kate E. Broderick United States
Gillis R. Otten United States
Dietmar Rabussay United States
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Alice J.A.M. Sijts Netherlands
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Citations per field
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Kate E. Broderick · 1×
Citations per year

Countries citing papers authored by Georg Widera

Since Specialization
Citations

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

Fields of papers citing papers by Georg Widera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000448
2 2000285
3 1988276
4 2000170
5 2005166
6 1999149
7
Simplified northern blot hybridization using 5% sodium dodecyl sulfate.
1990141
8 2004139
9 1986130
10 1998119
11 1987116
12 1984112
13 2004109
14
Selected strategies to augment polynucleotide immunization.
199697
15 199078
16 200364
17 198561
18 199660
19 200158
20 199558

About Georg Widera

Georg Widera is a scholar working on Immunology, Molecular Biology, Biotechnology, Genetics and Epidemiology, having authored 37 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Transgenic Plants and Applications (9 papers), Microbial Inactivation Methods (9 papers), Toxin Mechanisms and Immunotoxins (6 papers), Animal Genetics and Reproduction (5 papers), Hepatitis B Virus Studies (5 papers), Xenotransplantation and immune response (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (1.5k citations), Biotechnology (616 citations), Virology (200 citations), Pharmaceutical Science (228 citations) and Genetics (620 citations). Georg Widera has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Dietmar Rabussay, Richard A. Flavell, James T. Fuller, Linda C. Burkly, Ralph L. Brinster, Joel R. Haynes, Susan W. Barnett, Gillis R. Otten, Jeffrey B. Ulmer and David Lo. Their work appears in journals such as Vaccine, Cell, Journal of Biotechnology, The EMBO Journal 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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