Ida Höijer

838 total citations
10 papers, 448 citations indexed

About

Ida Höijer is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Ida Höijer has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Aging. Recurrent topics in Ida Höijer's work include CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Ida Höijer is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Ida Höijer collaborates with scholars based in Sweden, Australia and United States. Ida Höijer's co-authors include Adam Ameur, Lars Feuk, Ulf Gyllensten, Marcel den Hoed, Anastasia Emmanouilidou, Ignas Bunikis, Robin van Schendel, Marcel Tijsterman, Marie-Louise Bondeson and Olga Vinnere Pettersson and has published in prestigious journals such as Nature Communications, Scientific Reports and Genome Research.

In The Last Decade

Ida Höijer

10 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ida Höijer Sweden 9 323 128 79 38 31 10 448
Chunlong Xu China 14 725 2.2× 160 1.3× 62 0.8× 38 1.0× 34 1.1× 25 787
Zhou Luo China 6 561 1.7× 157 1.2× 91 1.2× 38 1.0× 9 0.3× 12 634
Anne Plessis France 14 775 2.4× 216 1.7× 58 0.7× 21 0.6× 32 1.0× 26 881
Bingbing He China 6 484 1.5× 121 0.9× 53 0.7× 21 0.6× 7 0.2× 13 528
Gokul N. Ramadoss United States 5 481 1.5× 90 0.7× 38 0.5× 26 0.7× 60 1.9× 6 644
Dehua Zhao China 10 717 2.2× 125 1.0× 53 0.7× 26 0.7× 16 0.5× 19 808
Xinde Hu China 12 877 2.7× 270 2.1× 70 0.9× 34 0.9× 23 0.7× 14 967
Vanja Tadić Croatia 7 628 1.9× 143 1.1× 69 0.9× 38 1.0× 11 0.4× 12 700
Rachel Oshiro United States 6 533 1.7× 82 0.6× 54 0.7× 19 0.5× 8 0.3× 7 604
Honghao Yu China 11 333 1.0× 238 1.9× 26 0.3× 20 0.5× 17 0.5× 22 451

Countries citing papers authored by Ida Höijer

Since Specialization
Citations

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

Fields of papers citing papers by Ida Höijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Höijer

This figure shows the co-authorship network connecting the top 25 collaborators of Ida Höijer. A scholar is included among the top collaborators of Ida Höijer 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 Ida Höijer. Ida Höijer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Coster, Wouter De, Ida Höijer, Inge Bruggeman, et al.. (2024). Visualization and analysis of medically relevant tandem repeats in nanopore sequencing of control cohorts with pathSTR. Genome Research. 34(11). 2074–2080. 5 indexed citations
2.
Höijer, Ida, Adam Ameur, Sanna Gudmundsson, et al.. (2023). A novel quantitative targeted analysis of X-chromosome inactivation (XCI) using nanopore sequencing. Scientific Reports. 13(1). 12856–12856. 9 indexed citations
3.
Höijer, Ida, Anastasia Emmanouilidou, Robin van Schendel, et al.. (2022). CRISPR-Cas9 induces large structural variants at on-target and off-target sites in vivo that segregate across generations. Nature Communications. 13(1). 627–627. 113 indexed citations
4.
Emmanouilidou, Anastasia, Eugenia Mazzaferro, Ida Höijer, et al.. (2020). Translating GWAS-identified loci for cardiac rhythm and rate using an in vivo image- and CRISPR/Cas9-based approach. Scientific Reports. 10(1). 11831–11831. 71 indexed citations
5.
Höijer, Ida, Sanna Gudmundsson, Chen-Shan Chin, et al.. (2020). Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity. Genome biology. 21(1). 290–290. 35 indexed citations
6.
Höijer, Ida, et al.. (2020). Xdrop: Targeted sequencing of long DNA molecules from low input samples using droplet sorting. Human Mutation. 41(9). 1671–1679. 29 indexed citations
7.
8.
Höijer, Ida, Yu‐Chih Tsai, Tyson A. Clark, et al.. (2018). Detailed analysis of HTT repeat elements in human blood using targeted amplification-free long-read sequencing. Human Mutation. 39(9). 1262–1272. 58 indexed citations
9.
Weissensteiner, Matthias H., Andy Wing Chun Pang, Ignas Bunikis, et al.. (2017). Combination of short-read, long-read, and optical mapping assemblies reveals large-scale tandem repeat arrays with population genetic implications. Genome Research. 27(5). 697–708. 62 indexed citations
10.
Cavelier, Lucia, Adam Ameur, Ida Höijer, et al.. (2015). Clonal distribution of BCR-ABL1 mutations and splice isoforms by single-molecule long-read RNA sequencing. BMC Cancer. 15(1). 45–45. 35 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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