Mojca Tajnik

1.2k citations
8 papers · 809 · h-index 8

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA regulation and disease
    • Cancer-related gene regulation
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 5
    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 3
    • Cancer-related gene regulation 1
    • Cell death mechanisms and regulation 1
    • Photosynthetic Processes and Mechanisms 1
    • Neurogenetic and Muscular Disorders Research 2

Mojca Tajnik

8 papers receiving 805 citations

Peers

Mojca Tajnik
Comparison fields: 5 of 56
  • Molecular Biology 765
  • Cancer Research 165
  • Genetics 47
  • Plant Science 51
  • Immunology 27
Replace Jay F. Sarthy with:
Jay F. Sarthy United States
Valentina Casà Italy
Dan Filipescu United States
Julia Nikolic United States
Autumn Massiello United States
Mitsuyoshi Murata Japan
Korinna Straube United States
Rajika Arora Switzerland
Cecilia Ström Sweden
Tea Blom Finland
Mojca Tajnik relative to Jay F. Sarthy United States Jay F. Sarthy's profile →
Citations per field
00.5×10.3×
Jay F. Sarthy · 1×
Citations per year

Countries citing papers authored by Mojca Tajnik

Since Specialization
Citations

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

Fields of papers citing papers by Mojca Tajnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013347
2 2013299
3 201662
4 201633
5 201526
6 201523
7 201210
8 20179

About Mojca Tajnik

Mojca Tajnik is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Allergy and Cancer Research, having authored 8 papers that have together received 809 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Cancer-related gene regulation (1 paper), Cell death mechanisms and regulation (1 paper), Cancer-related molecular mechanisms research (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (765 citations), Cancer Research (165 citations), Genetics (47 citations), Plant Science (51 citations) and Immunology (27 citations). Mojca Tajnik has collaborated with scholars based in Slovenia, Italy and Germany. Frequent co-authors include Julian König, Jernej Ule, Kathi Zarnack, Nicholas M. Luscombe, Simon Anders, Alejandro Reyes, Sebastian Eustermann, Iñigo Martincorena, Isabelle Stévant and Laura E. Easton. Their work appears in journals such as Methods, Cancer Biomarkers, Nature Communications, PLoS Genetics and Cell.

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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