Karoline Leopold

823 citations
7 papers · 433 · h-index 7

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • ATP Synthase and ATPases Research 2
    • DNA Repair Mechanisms 1
    • Mitochondrial Function and Pathology 1
    • SARS-CoV-2 and COVID-19 Research 3
    • SARS-CoV-2 detection and testing 1

Karoline Leopold

7 papers receiving 429 citations

Peers

Karoline Leopold
Comparison fields: 5 of 66
  • Infectious Diseases 231
  • Structural Biology 10
  • Computational Theory and Mathematics 52
  • Animal Science and Zoology 33
  • Molecular Biology 196
Replace Tzu‐Jing Yang with:
Tzu‐Jing Yang Taiwan
Qiaoyu Zhao China
Yong-Joo Jeong South Korea
Taeyong Park South Korea
Jagat Adhikari United States
Hasan Vatandaslar Switzerland
Linghang Peng United States
Julien Capin United Kingdom
S.E. Thomas United Kingdom
Karoline Leopold relative to Tzu‐Jing Yang Taiwan Tzu‐Jing Yang's profile →
Citations per field
00.5×3.1×
Tzu‐Jing Yang · 1×
Citations per year

Countries citing papers authored by Karoline Leopold

Since Specialization
Citations

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

Fields of papers citing papers by Karoline Leopold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2022142
2 2021136
3 201366
4 202324
5 201523
6 201921
7 202121

About Karoline Leopold

Karoline Leopold is a scholar working on Molecular Biology, Infectious Diseases, Structural Biology, Animal Science and Zoology and Oncology, having authored 7 papers that have together received 433 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Ubiquitin and proteasome pathways (2 papers), ATP Synthase and ATPases Research (2 papers), DNA Repair Mechanisms (1 paper), SARS-CoV-2 detection and testing (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Mitochondrial Function and Pathology (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Infectious Diseases (231 citations), Structural Biology (10 citations), Computational Theory and Mathematics (52 citations), Animal Science and Zoology (33 citations) and Molecular Biology (196 citations). Karoline Leopold has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Sriram Subramaniam, Dhiraj Mannar, Katharine S. Tuttle, James W. Saville, Alison Berezuk, Wei Li, Steven Zhou, Ashley Hutchinson, Yanjun Li and Serap Beldar. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Genes & Development.

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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