Neja Šamec

456 citations
18 papers · 302 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Glioma Diagnosis and Treatment

Papers in

    • Extracellular vesicles in disease 5
    • RNA Interference and Gene Delivery 4
    • RNA Research and Splicing 4
    • Circular RNAs in diseases 3
    • Glioma Diagnosis and Treatment 6

Neja Šamec

17 papers receiving 302 citations

Peers

Neja Šamec
Comparison fields: 5 of 56
  • Cancer Research 121
  • Genetics 68
  • Molecular Biology 205
  • Biomaterials 32
  • Immunology 43
Replace Alja Zottel with:
Alja Zottel Slovenia
Wojciech Szopa Poland
Rosalie Schnoor Netherlands
Shinji Yamashita Japan
Eskil Eskilsson United States
Billy Samuel Hill Italy
Mark A. Costello United States
Kathrin A. Schmohl Germany
Julie Sesen United States
Amber B. Jones United States
Neja Šamec relative to Alja Zottel Slovenia Alja Zottel's profile →
Citations per field
00.5×1.5×
Alja Zottel · 1×
Citations per year

Countries citing papers authored by Neja Šamec

Since Specialization
Citations

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

Fields of papers citing papers by Neja Šamec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202038
2 202034
3 202030
4 202029
5 202124
6 202121
7 202121
8 201820
9 201920
10 202114
11 202112
12 202312
13 201812
14 20238
15 20234
16 20252
17 20251
18 20250

About Neja Šamec

Neja Šamec is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomedical Engineering and Immunology, having authored 18 papers that have together received 302 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (4 papers), Nanoplatforms for cancer theranostics (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (121 citations), Genetics (68 citations), Molecular Biology (205 citations), Biomaterials (32 citations) and Immunology (43 citations). Neja Šamec has collaborated with scholars based in Slovenia, Belgium and Russia. Frequent co-authors include Ivana Jovčevska, Alja Zottel, Radovan Komel, Alja Videtič Paska, Jernej Mlakar, Anton Buzdin, Maxim Sorokin, Jernej Šribar, Igor Križaj and Rok Romih. Their work appears in journals such as Cancers, Heliyon, Molecules, International Journal of Molecular Sciences and Oncotarget.

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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