A. Modelska

548 citations
7 papers · 271 · h-index 6

Impact in

    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Mitochondrial Function and Pathology
    • Extracellular vesicles in disease
    • PI3K/AKT/mTOR signaling in cancer
    • Cancer-related gene regulation
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 3
    • Mitochondrial Function and Pathology 2
    • RNA Research and Splicing 2
    • Extracellular vesicles in disease 1
    • Ubiquitin and proteasome pathways 1
    • Gene expression and cancer classification 1

A. Modelska

7 papers receiving 268 citations

Peers

A. Modelska
Comparison fields: 5 of 44
  • Molecular Biology 248
  • Cancer Research 47
  • Structural Biology 2
  • Clinical Biochemistry 8
  • Oncology 15
Replace Stephan Lam with:
Stephan Lam Canada
Guang Peng China
Harini Ramalingam United States
Alia Abukiwan Germany
Liming Lin China
Baicai Yang China
Danna Sheinboim Israel
Courtney E. Hershberger United States
Mariya Mardamshina Israel
Yifat Geffen United States
A. Modelska relative to Stephan Lam Canada Stephan Lam's profile →
Citations per field
00.5×5.1×
Stephan Lam · 1×
Citations per year

Countries citing papers authored by A. Modelska

Since Specialization
Citations

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

Fields of papers citing papers by A. Modelska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2015117
2 202081
3 201939
4 201517
5 20158
6 20237
7 20252

About A. Modelska

A. Modelska is a scholar working on Molecular Biology, Immunology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 271 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Mitochondrial Function and Pathology (2 papers), RNA Research and Splicing (2 papers), Extracellular vesicles in disease (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (248 citations), Cancer Research (47 citations), Structural Biology (2 citations), Clinical Biochemistry (8 citations) and Oncology (15 citations). A. Modelska has collaborated with scholars based in Italy, France and Sweden. Frequent co-authors include Shintaro Aibara, Alexey Amunts, Vivek Singh, Thomas Sbarrato, Paul D.P. Pharoah, Ernest Turro, Stefan Gräf, Elena Provenzano, Keith A. Spriggs and Jodi L. Miller. Their work appears in journals such as EBioMedicine, Life Science Alliance, eLife, Cell Death and Disease and Briefings in Bioinformatics.

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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