Mojca Tajnik

1.2k citations
8 papers · 842 · h-index 8

Impact in

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

Papers in

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

Mojca Tajnik

8 papers receiving 838 citations

Peers

Mojca Tajnik
Comparison fields: 5 of 57
  • Cancer Research 155
  • Molecular Biology 765
  • Genetics 43
  • Hematology 16
  • Immunology 29
Replace Joshua G Nichols with:
Joshua G Nichols United States
Keri E. Garcia United States
Takashi Ideue Japan
Yi Ching Esther Wan China
Barbara Xella United Kingdom
Archana Bairavasundaram Prusty Germany
Rajika Arora Switzerland
Dan Filipescu United States
Korinna Straube United States
Michael A. Cortázar United States
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Citations per field
00.5×2×4×6.8×
Joshua G Nichols · 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 2013349
2 2013326
3 201664
4 201635
5 201525
6 201523
7 201211
8 20179

About Mojca Tajnik

Mojca Tajnik is a scholar working on Molecular Biology, Genetics, Immunology and Allergy, Cancer Research and Oncology, having authored 8 papers that have together received 842 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 molecular mechanisms research (1 paper), Cancer-related gene regulation (1 paper), Cancer-related Molecular Pathways (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cancer Research (155 citations), Molecular Biology (765 citations), Genetics (43 citations), Hematology (16 citations) and Immunology (29 citations). Mojca Tajnik has collaborated with scholars based in Slovenia, Germany and Italy. Frequent co-authors include Jernej Ule, Julian König, Kathi Zarnack, Nicholas M. Luscombe, Andrea D’Ambrogio, Yoichiro Sugimoto, Ina Huppertz, Laura E. Easton, Jan Attig and Christopher R. Sibley. Their work appears in journals such as Documenta Ophthalmologica, Nucleic Acids Research, Cell, International Journal of Genomics and Nature Communications.

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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