Julia Klermund

19 total papers · 756 total citations
13 papers, 502 citations indexed

About

Julia Klermund is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Julia Klermund has authored 13 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Julia Klermund's work include CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Julia Klermund is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Julia Klermund collaborates with scholars based in Germany, United States and Switzerland. Julia Klermund's co-authors include Brian Luke, Katharina Bender, Sarah Luke-Glaser, André Maicher, Toni Cathomen, Geoffroy Andrieux, Tatjana I. Cornu, Melanie Boerries, Claudio Mussolino and Giandomenico Turchiano and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Julia Klermund

12 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julia Klermund 430 147 92 46 44 13 502
Khurts Shilagardi 374 0.9× 129 0.9× 39 0.4× 27 0.6× 19 0.4× 12 520
Rosalind Yanishevsky 416 1.0× 267 1.8× 80 0.9× 73 1.6× 49 1.1× 9 536
Andrew P. Salinger 512 1.2× 197 1.3× 100 1.1× 35 0.8× 67 1.5× 11 591
Soyeon Ahn 478 1.1× 65 0.4× 80 0.9× 65 1.4× 53 1.2× 12 550
Michèle Brunori 479 1.1× 362 2.5× 77 0.8× 49 1.1× 84 1.9× 15 611
Marion Scheibe 512 1.2× 120 0.8× 47 0.5× 21 0.5× 53 1.2× 21 606
Barbara Xella 405 0.9× 143 1.0× 49 0.5× 37 0.8× 27 0.6× 8 489
Julia W. Skinner 316 0.7× 311 2.1× 34 0.4× 88 1.9× 54 1.2× 9 551
Carolyn J. McNees 473 1.1× 312 2.1× 51 0.6× 122 2.7× 39 0.9× 8 610
Sunandita S. Banerji 501 1.2× 46 0.3× 50 0.5× 83 1.8× 17 0.4× 17 594

Countries citing papers authored by Julia Klermund

Since Specialization
Citations

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

Fields of papers citing papers by Julia Klermund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Klermund

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

All Works

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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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