Zora Modrušan

43.7k citations
166 papers · 19.7k indexed · 7 hit papers · h-index 69

Impact in

    • MicroRNA in disease regulation
  • Immunology top 0.2%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

Zora Modrušan

162 papers receiving 19.4k citations

Hit Papers

Cross-tissue organization of the fibroblast lineage 2021 · 555 citations
555200620262012201950010001.5k2.0k

Peers

Zora Modrušan
Comparison fields: 5 of 162
  • Cancer Research 3.6k
  • Immunology 5.0k
  • Genetics 2.2k
  • Oncology 4.9k
  • Molecular Biology 10.6k
Replace Akihiko Yoshimura with:
Akihiko Yoshimura Japan
Elisabeth Kremmer Germany
Keiko Nakayama Japan
Gideon Rechavi Israel
Andrew Wakeham Canada
Jacques J. Peschon United States
Frédéric J. de Sauvage United States
Tadashi Matsuda Japan
Stanisław Krajewski United States
Victor L. J. Tybulewicz United Kingdom
Zora Modrušan relative to Akihiko Yoshimura Japan Akihiko Yoshimura's profile →
Citations per field
00.5×1.5×2.3×
Akihiko Yoshimura · 1×
Citations per year

Countries citing papers authored by Zora Modrušan

Since Specialization
Citations

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

Fields of papers citing papers by Zora Modrušan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202228
4 202115
5 202011
6 202037
7 201931
8 201940
9 201847
10 2017105
11 2014125
12 201280
13 201266
14 2011148
15 2011287
16 2010293
17 2009231
18 200951
19 2009144
20 200869

About Zora Modrušan

Zora Modrušan is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Neurology, having authored 166 papers that have together received 19.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Cancer Genomics and Diagnostics (10 papers), Epigenetics and DNA Methylation (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), IL-33, ST2, and ILC Pathways (8 papers), Single-cell and spatial transcriptomics (8 papers), Immune cells in cancer (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Cancer Research (3.6k citations), Immunology (5.0k citations), Genetics (2.2k citations), Oncology (4.9k citations) and Molecular Biology (10.6k citations). Zora Modrušan has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Robert Soriano, Frédéric J. de Sauvage, Alexander R. Abbas, Heidi Phillips, Samir Kharbanda, Thomas D. Wu, Patricia Valdez, Wenjun Ouyang, Dimitry M. Danilenko and William F. Forrest. Their work appears in journals such as Nature Communications, Cancer Research, Cell Reports, Proceedings of the National Academy of Sciences and Clinical Cancer Research.

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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