U. Weyer

1.2k citations
22 papers · 987 · h-index 14

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 8
    • Insect Resistance and Genetics 6
    • RNA Interference and Gene Delivery 2
    • Virus-based gene therapy research 6

U. Weyer

20 papers receiving 930 citations

Peers

U. Weyer
Comparison fields: 5 of 80
  • Insect Science 134
  • Immunology 202
  • Epidemiology 273
  • Physiology 185
  • Biotechnology 67
Replace Marcel P. Keller with:
Marcel P. Keller Switzerland
Julie A. Webster Australia
Mara Hincenbergs United States
Tsuyoshi Mori Japan
Sesha Reddigari United States
Junitsu Ito Japan
Corbett T. Berry United States
Misa Hirose Germany
Sophie Bosset France
Caterina Barresi Austria
U. Weyer relative to Marcel P. Keller Switzerland Marcel P. Keller's profile →
Citations per field
00.5×8.5×
Marcel P. Keller · 1×
Citations per year

Countries citing papers authored by U. Weyer

Since Specialization
Citations

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

Fields of papers citing papers by U. Weyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017205
2 2013199
3 199088
4 199084
5 198672
6 198958
7 199152
8 198851
9 201534
10 198524
11 201724
12 199224
13 199124
14 198914
15
Site-specific promoter methylations and gene inactivation.
198511
16 19907
17 20096
18 20096
19
[Bowenoid actinic keratosis: therapy with intralesional injection of recombinant beta-interferon].
19923
20 19901

About U. Weyer

U. Weyer is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Immunology, having authored 22 papers that have together received 987 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Insect Resistance and Genetics (6 papers), Virus-based gene therapy research (6 papers), Nonmelanoma Skin Cancer Studies (3 papers), RNA Interference and Gene Delivery (2 papers), Transgenic Plants and Applications (2 papers), Adipose Tissue and Metabolism (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Insect Science (134 citations), Immunology (202 citations), Epidemiology (273 citations), Physiology (185 citations) and Biotechnology (67 citations). U. Weyer has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include R. D. Possee, Martin Gericke, Ingo Bechmann, Walter Doerfler, Julia Braune, Jens Eilers, Constance Hobusch, Jan Mauer, Jens C. Brüning and Samantha J.L. Knight. Their work appears in journals such as Journal of General Virology, Diabetologia, Journal of the American Academy of Dermatology, Journal of 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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