Dejan Maglic

1.5k citations
14 papers · 640 · h-index 13

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3
    • Genomics and Chromatin Dynamics 2
    • Ubiquitin and proteasome pathways 2
    • Cancer-related Molecular Pathways 8
    • Cytokine Signaling Pathways and Interactions 1

Dejan Maglic

14 papers receiving 629 citations

Peers

Dejan Maglic
Comparison fields: 5 of 60
  • Oncology 328
  • Cancer Research 141
  • Cell Biology 125
  • Molecular Biology 387
  • Immunology and Allergy 25
Replace Rinat Keren with:
Rinat Keren United States
Fabiana Lüönd Switzerland
Sylvie André Switzerland
Verónica Calvo United States
Victoria L. Bridgeman United Kingdom
Suzete de Silva Rudland United Kingdom
James R. Hernandez United States
Vin Yee Chung Singapore
Anie Monast Canada
Judith Kohlmeyer Germany
Dejan Maglic relative to Rinat Keren United States Rinat Keren's profile →
Citations per field
00.5×3.1×
Rinat Keren · 1×
Citations per year

Countries citing papers authored by Dejan Maglic

Since Specialization
Citations

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

Fields of papers citing papers by Dejan Maglic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020125
2 2010125
3 200956
4 201351
5 201849
6 201135
7 201234
8 201033
9 200933
10 201433
11 201230
12 201322
13 202113
14 20111

About Dejan Maglic

Dejan Maglic is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Genetics, having authored 14 papers that have together received 640 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Genomics and Chromatin Dynamics (2 papers), Ubiquitin and proteasome pathways (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (328 citations), Cancer Research (141 citations), Cell Biology (125 citations), Molecular Biology (387 citations) and Immunology and Allergy (25 citations). Dejan Maglic has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Kazushi Inoue, Robert D. Kendig, Pankaj Taneja, Fumitake Kai, Sinan Zhu, Donna P. Frazier, Takayuki Sugiyama, Raffaele Calogero, Fernando D. Camargo and Riccardo Panero. Their work appears in journals such as Cancer Research, The EMBO Journal, Expert Review of Molecular Diagnostics, American Journal Of Pathology and Cell stem 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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