Magdalena Arcinas

650 citations
10 papers · 568 · h-index 10

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Mechanisms of cancer metastasis
    • DNA and Nucleic Acid Chemistry
    • Renal and related cancers
    • Ubiquitin and proteasome pathways

Papers in

Magdalena Arcinas

10 papers receiving 562 citations

Peers

Magdalena Arcinas
Comparison fields: 5 of 69
  • Molecular Biology 438
  • Pathology and Forensic Medicine 90
  • Oncology 138
  • Cancer Research 68
  • Immunology 75
Replace Keyi Zhu with:
Keyi Zhu United States
Barbara Hibner United States
Silvia Licciulli Italy
Dubravka Donjerković United States
Llorenç Coll-Mulet Spain
Giulio Donati Italy
Moira Wood United States
Tapati Mazumdar United States
Ami Albihn Sweden
Kristin M. Stadelman United States
Magdalena Arcinas relative to Keyi Zhu United States Keyi Zhu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Magdalena Arcinas

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Arcinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Magdalena Arcinas, 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 Magdalena Arcinas Line = papers co-authored together Magdalena Arcinas links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2001181
2 199576
3 199769
4 199663
5 199451
6 199539
7
Molecular mechanisms of transcriptional control of bcl-2 and c-myc in follicular and transformed lymphoma.
200139
8
Differential protein binding to the c-myc promoter during differentiation of hematopoietic cell lines.
199426
9 199414
10 200210

About Magdalena Arcinas

Magdalena Arcinas is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 568 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Renal and related cancers (2 papers), Cancer-related Molecular Pathways (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), T-cell and Retrovirus Studies (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (438 citations), Pathology and Forensic Medicine (90 citations), Oncology (138 citations), Cancer Research (68 citations) and Immunology (75 citations). Magdalena Arcinas has collaborated with scholars based in United States. Frequent co-authors include Linda M. Boxer, Caroline A. Heckman, Yu‐Ling Wu, L M Boxer, Juan José Martínez Guerra and Kurt C. Sizer. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Oncogene and PubMed.

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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