Julia Kamenz

650 citations
13 papers · 428 · h-index 10

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Fungal and yeast genetics research

Papers in

    • RNA and protein synthesis mechanisms 5
    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 4
    • RNA modifications and cancer 3
    • Microtubule and mitosis dynamics 8
    • Cellular transport and secretion 3
    • Cellular Mechanics and Interactions 2

Julia Kamenz

13 papers receiving 427 citations

Peers

Julia Kamenz
Comparison fields: 5 of 56
  • Cell Biology 147
  • Molecular Biology 383
  • Aging 5
  • Cancer Research 25
  • Biochemistry 10
Replace Prasad Trivedi with:
Prasad Trivedi United States
Rachel B. Rodrigues United States
Ian Yu United States
Doris Berchtold Switzerland
Anna Bartosik United States
Young-Joo Jang South Korea
Ravi K. Nookala United Kingdom
Hironori Inadome Japan
Dönem Avci Germany
Ruchika Sachdev Switzerland
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Citations per field
00.5×9.6×
Prasad Trivedi · 1×
Citations per year

Countries citing papers authored by Julia Kamenz

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kamenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201197
2 201491
3 201383
4 201528
5 201624
6 201823
7 202022
8 202022
9 201719
10 201414
11 20242
12 20142
13 20211

About Julia Kamenz

Julia Kamenz is a scholar working on Molecular Biology, Cell Biology, Surgery, Genetics and Infectious Diseases, having authored 13 papers that have together received 428 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (3 papers), Cellular transport and secretion (3 papers), Cellular Mechanics and Interactions (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cell Biology (147 citations), Molecular Biology (383 citations), Aging (5 citations), Cancer Research (25 citations) and Biochemistry (10 citations). Julia Kamenz has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Silke Hauf, Simon A. Fromm, Remco Sprangers, James E. Ferrell, Georg Zocher, Ancilla Neu, N. Hoffmann, Joerg E. Braun, Vincent Truffault and Elisa Izaurralde. Their work appears in journals such as Current Biology, Cell Reports, Molecular Cell, The EMBO Journal and Nature Cell Biology.

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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