Laura Andrejka

662 citations
18 papers · 357 · h-index 9

Impact in

    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation

Papers in

    • CRISPR and Genetic Engineering 4
    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 2
    • Ubiquitin and proteasome pathways 2

Laura Andrejka

15 papers receiving 357 citations

Peers

Laura Andrejka
Comparison fields: 5 of 56
  • Aging 8
  • Molecular Biology 259
  • Cancer Research 50
  • Oncology 82
  • Biological Psychiatry 4
Replace Svenja Leible with:
Svenja Leible Germany
Jianting Mao China
Molly Gale United States
Jérôme Barbier France
Tovah E. Markowitz United States
Shanaya Shital Shah United States
Irene Felipe‐Abrio Spain
Sree Rama Chaitanya Sridhara Portugal
Rodrigo Romero United States
Hiromi Yanagihara Japan
Laura Andrejka relative to Svenja Leible Germany Svenja Leible's profile →
Citations per field
00.5×2.6×
Svenja Leible · 1×
Citations per year

Countries citing papers authored by Laura Andrejka

Since Specialization
Citations

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

Fields of papers citing papers by Laura Andrejka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202170
2 200867
3 201962
4 200032
5 200728
6 200125
7 202317
8 201117
9 202316
10 20206
11 20005
12 20174
13 20253
14 20233
15 20252
16 20250
17 20240
18 20250

About Laura Andrejka

Laura Andrejka is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Cell Biology, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Evolution and Genetic Dynamics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aging (8 citations), Molecular Biology (259 citations), Cancer Research (50 citations), Oncology (82 citations) and Biological Psychiatry (4 citations). Laura Andrejka has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Joseph S. Lipsick, Hong Wen, Roger E. Karess, Roberto A. Macina, Monte M. Winslow, Chuan Li, J. Robert Manak, Christopher W. Murray, Min K. Tsai and Rui Tang. Their work appears in journals such as Cancer Discovery, Molecular Diagnosis, Biology Open, Proceedings of the National Academy of Sciences 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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