Karoline Leopold

804 total citations · 1 hit paper
7 papers, 419 citations indexed

About

Karoline Leopold is a scholar working on Molecular Biology, Infectious Diseases and Structural Biology. According to data from OpenAlex, Karoline Leopold has authored 7 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 1 paper in Structural Biology. Recurrent topics in Karoline Leopold's work include SARS-CoV-2 and COVID-19 Research (3 papers), ATP Synthase and ATPases Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Karoline Leopold is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), ATP Synthase and ATPases Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Karoline Leopold collaborates with scholars based in Canada, United States and Israel. Karoline Leopold's co-authors include Sriram Subramaniam, Dhiraj Mannar, Almagul Seitova, Jean‐Philippe Demers, Katharine S. Tuttle, François Bénard, Ashley Hutchinson, Xing Zhu, Sagar Chittori and Steven Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

In The Last Decade

Karoline Leopold

7 papers receiving 415 citations

Hit Papers

Structure and activity of human TMPRSS2 protease implicat... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karoline Leopold Canada 7 237 195 51 37 32 7 419
Qiaoyu Zhao China 6 227 1.0× 171 0.9× 50 1.0× 38 1.0× 27 0.8× 9 334
N. Mehzabeen United States 11 171 0.7× 149 0.8× 55 1.1× 33 0.9× 32 1.0× 18 373
Danielle E. Dorosky United States 4 339 1.4× 195 1.0× 68 1.3× 45 1.2× 37 1.2× 5 463
Wenyu Han China 9 334 1.4× 284 1.5× 69 1.4× 62 1.7× 38 1.2× 12 516
Adrien Lugari France 9 180 0.8× 242 1.2× 48 0.9× 30 0.8× 55 1.7× 13 463
Aidong Qu China 3 323 1.4× 190 1.0× 57 1.1× 67 1.8× 47 1.5× 4 490
Mark Ruben Netherlands 9 150 0.6× 270 1.4× 41 0.8× 67 1.8× 53 1.7× 9 490
Spencer Stumpf United States 8 470 2.0× 193 1.0× 29 0.6× 49 1.3× 82 2.6× 11 621
Katelyn E. Rosenbalm United States 5 224 0.9× 154 0.8× 25 0.5× 48 1.3× 22 0.7× 7 351

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-authorship network of co-authors of Karoline Leopold

This figure shows the co-authorship network connecting the top 25 collaborators of Karoline Leopold. A scholar is included among the top collaborators of Karoline Leopold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karoline Leopold. Karoline Leopold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Castells‐Graells, Roger, Mark A. Arbing, M.R. Sawaya, et al.. (2023). Cryo-EM structure determination of small therapeutic protein targets at 3 Å-resolution using a rigid imaging scaffold. Proceedings of the National Academy of Sciences. 120(37). e2305494120–e2305494120. 21 indexed citations
2.
Beldar, Serap, Almagul Seitova, Ashley Hutchinson, et al.. (2022). Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation. Nature Chemical Biology. 18(9). 963–971. 134 indexed citations breakdown →
3.
Zhu, Xing, Dhiraj Mannar, Shanti Swaroop Srivastava, et al.. (2021). Cryo-electron microscopy structures of the N501Y SARS-CoV-2 spike protein in complex with ACE2 and 2 potent neutralizing antibodies. PLoS Biology. 19(4). e3001237–e3001237. 135 indexed citations
4.
Mannar, Dhiraj, Karoline Leopold, & Sriram Subramaniam. (2021). Glycan reactive anti-HIV-1 antibodies bind the SARS-CoV-2 spike protein but do not block viral entry. Scientific Reports. 11(1). 12448–12448. 20 indexed citations
5.
Leopold, Karoline, et al.. (2019). Transcriptional gene silencing requires dedicated interaction between HP1 protein Chp2 and chromatin remodeler Mit1. Genes & Development. 33(9-10). 565–577. 21 indexed citations
6.
Paz-Elizur, Tamar, Elena Ainbinder, Karoline Leopold, et al.. (2015). DNA lesion identity drives choice of damage tolerance pathway in murine cell chromosomes. Nucleic Acids Research. 43(3). 1637–1645. 23 indexed citations
7.
Papić, Dražen, Yael Elbaz‐Alon, Sophia N. Koerdt, et al.. (2013). The Role of Djp1 in Import of the Mitochondrial Protein Mim1 Demonstrates Specificity between a Cochaperone and Its Substrate Protein. Molecular and Cellular Biology. 33(20). 4083–4094. 65 indexed citations

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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