Irma Querques

554 citations
8 papers · 353 · h-index 7

Impact in

Papers in

    • CRISPR and Genetic Engineering 8
    • Advanced biosensing and bioanalysis techniques 5
    • RNA and protein synthesis mechanisms 3
    • Photosynthetic Processes and Mechanisms 1
    • Pluripotent Stem Cells Research 1
    • Chromosomal and Genetic Variations 3

Irma Querques

8 papers receiving 348 citations

Peers

Irma Querques
Comparison fields: 5 of 38
  • Business and International Management 33
  • Aging 12
  • Molecular Biology 317
  • Genetics 101
  • Structural Biology 5
Replace Hwangbeom Kim with:
Hwangbeom Kim South Korea
Tarun S. Nambiar United States
Joshua F. Meckler United States
Sylvain Éthier Canada
Namjin Cho South Korea
Alessandro Migliara Italy
Saskia Gressel Germany
Thomas Beuchert Kallehauge Denmark
Eric Edward Bryant United States
Smriti Pandey United States
Irma Querques relative to Hwangbeom Kim South Korea Hwangbeom Kim's profile →
Citations per field
00.5×5.6×
Hwangbeom Kim · 1×
Citations per year

Countries citing papers authored by Irma Querques

Since Specialization
Citations

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

Fields of papers citing papers by Irma Querques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202293
2 201965
3 202155
4 201652
5 202251
6 202217
7 201914
8 20236

About Irma Querques

Irma Querques is a scholar working on Molecular Biology, Plant Science, Genetics, Oncology and Infectious Diseases, having authored 8 papers that have together received 353 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA and protein synthesis mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), CAR-T cell therapy research (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Pluripotent Stem Cells Research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Business and International Management (33 citations), Aging (12 citations), Molecular Biology (317 citations), Genetics (101 citations) and Structural Biology (5 citations). Irma Querques has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Martin Jínek, Christelle Chanez, Martin Pačesa, Marta Sawicka, Luuk Loeff, Lena M. Muckenfuss, O. Barábas, Zoltán Ivics, Cecilia Zuliani and Csaba Miskey. Their work appears in journals such as Nature, Nucleic Acids Research, FEBS Open Bio, Cell and Nature Biotechnology.

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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