Deborah Pajalunga

685 citations
17 papers · 523 · h-index 12

Impact in

Papers in

    • Muscle Physiology and Disorders 7
    • Ubiquitin and proteasome pathways 5
    • DNA Repair Mechanisms 3
    • Glycosylation and Glycoproteins Research 1
    • Peroxisome Proliferator-Activated Receptors 1
    • Cancer-related Molecular Pathways 8

Deborah Pajalunga

16 papers receiving 512 citations

Peers

Deborah Pajalunga
Comparison fields: 5 of 72
  • Oncology 159
  • Aging 11
  • Molecular Biology 417
  • Cell Biology 78
  • Cancer Research 54
Replace Peter J. Cook with:
Peter J. Cook United States
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Citations per field
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Citations per year

Countries citing papers authored by Deborah Pajalunga

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Pajalunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200790
2 200178
3 200763
4 200456
5
Terminally differentiated skeletal myotubes are not confined to G0 but can enter G1 upon growth factor stimulation.
199644
6 201237
7 201234
8 200721
9 199920
10 201018
11 202114
12 201713
13 200411
14
Liver and kidney peroxisomes in lactating rats and their pups after treatment with ciprofibrate. Biochemical and morphometric analysis.
199910
15 20077
16 20157
17
Cell Cycle Reactivation in Skeletal Muscle and Other Terminally Differentiated Cells
20130

About Deborah Pajalunga

Deborah Pajalunga is a scholar working on Molecular Biology, Oncology, Physiology, Cell Biology and Political Science and International Relations, having authored 17 papers that have together received 523 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Muscle Physiology and Disorders (7 papers), Ubiquitin and proteasome pathways (5 papers), DNA Repair Mechanisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Oncology (159 citations), Aging (11 citations), Molecular Biology (417 citations), Cell Biology (78 citations) and Cancer Research (54 citations). Deborah Pajalunga has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Marco Crescenzi, Alessia Mazzola, Marianne Tiainen, Ada Sacchi, E. M. R. Puggioni, Annapaola Franchitto, Laura Narciso, Paola Fortini, Eugenia Dogliotti and Anna Maria Salzano. Their work appears in journals such as The Journal of Cell Biology, Cell Cycle, Cell Death and Differentiation, Molecular and Cellular Biology and Cellular and Molecular Life Sciences.

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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