Patricia Peking

440 citations
8 papers · 297 · h-index 8

Impact in

Papers in

    • Skin and Cellular Biology Research 6
    • RNA regulation and disease 3
    • CRISPR and Genetic Engineering 2
    • RNA Interference and Gene Delivery 2
    • RNA Research and Splicing 1
    • Viral Infectious Diseases and Gene Expression in Insects 1

Patricia Peking

8 papers receiving 293 citations

Peers

Patricia Peking
Comparison fields: 5 of 37
  • Cell Biology 170
  • Biotechnology 55
  • Business and International Management 9
  • Immunology and Allergy 18
  • Biomaterials 38
Replace Michael Ablinger with:
Michael Ablinger Austria
Araksya Izmiryan France
Magdalena Martinez-Queipo United Kingdom
Rodrigo Cepeda‐Valdes Mexico
P. J. Dopping-Hepenstal United Kingdom
Jamil Amjad Hashmi Saudi Arabia
Yuki Yajima Japan
Minh Ho United States
David O. Jones United Kingdom
Thomas Ramezani Germany
Patricia Peking relative to Michael Ablinger Austria Michael Ablinger's profile →
Citations per field
00.5×11×
Michael Ablinger · 1×
Citations per year

Countries citing papers authored by Patricia Peking

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Peking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201785
2 201769
3 201638
4 201927
5 201626
6 201722
7 201820
8 201710

About Patricia Peking

Patricia Peking is a scholar working on Cell Biology, Molecular Biology, Genetics, Biomaterials and Biotechnology, having authored 8 papers that have together received 297 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (6 papers), RNA regulation and disease (3 papers), Silk-based biomaterials and applications (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Interference and Gene Delivery (2 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cell Biology (170 citations), Biotechnology (55 citations), Business and International Management (9 citations), Immunology and Allergy (18 citations) and Biomaterials (38 citations). Patricia Peking has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Ulrich Koller, Eva M. Murauer, Thomas Köcher, Julia Reichelt, Stefan Hainzl, Johann Bauer, Alfred Klausegger, Fernando Larcher, Michael Ablinger and Blanca Duarte. Their work appears in journals such as Molecular Therapy, Nucleic Acids Research, Experimental Dermatology, Advanced Drug Delivery Reviews and Journal of Investigative Dermatology.

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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