Marta Popęda

564 citations
32 papers · 350 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • Cancer Cells and Metastasis 5
    • Cancer Immunotherapy and Biomarkers 5
    • Inflammatory Biomarkers in Disease Prognosis 4
    • RNA modifications and cancer 3

Marta Popęda

30 papers receiving 346 citations

Peers

Marta Popęda
Comparison fields: 5 of 83
  • Cancer Research 87
  • Oncology 142
  • Immunology 52
  • Pulmonary and Respiratory Medicine 79
  • Molecular Biology 156
Replace Shuo You with:
Shuo You China
Kelly E. Craven United States
María Villa‐Morales Spain
Lufeng Liang China
Svetlana Miklikova Slovakia
Stefania Belli Italy
Weiyu Ge China
Qing-Rong Chen United States
Shiyu Du China
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Citations per field
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Shuo You · 1×
Citations per year

Countries citing papers authored by Marta Popęda

Since Specialization
Citations

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

Fields of papers citing papers by Marta Popęda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202133
3 201630
4 201426
5 201624
6 201523
7 201622
8 201917
9 202116
10 201714
11 202114
12 202113
13 202213
14 20219
15 20208
16 20168
17 20215
18 20205
19 20225
20 20194

About Marta Popęda

Marta Popęda is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Neurology, having authored 32 papers that have together received 350 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Cancer, Lipids, and Metabolism (3 papers), RNA modifications and cancer (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Cancer Research (87 citations), Oncology (142 citations), Immunology (52 citations), Pulmonary and Respiratory Medicine (79 citations) and Molecular Biology (156 citations). Marta Popęda has collaborated with scholars based in Poland, Germany and Norway. Frequent co-authors include Andrzej K. Bednarek, Elżbieta Płuciennik, Anna J. Żaczek, Ewelina Stoczyńska-Fidelus, Piotr Rieske, Natalia Bednarz‐Knoll, Wojciech Biernat, Michał Kunc, Magdalena Książkiewicz and Tomasz Stokowy. Their work appears in journals such as Cancers, Scientific Reports, British Journal of Cancer, Journal of neurosurgery and Bioscience Reports.

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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