Marcella Debidda

1.1k citations
13 papers · 857 indexed · h-index 13

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Melanoma and MAPK Pathways 2
    • TGF-β signaling in diseases 1
    • Cellular Mechanics and Interactions 3
    • Microtubule and mitosis dynamics 2

Marcella Debidda

13 papers receiving 844 citations

Peers

Marcella Debidda
Comparison fields: 5 of 89
  • Aging 25
  • Cancer Research 165
  • Cell Biology 156
  • Immunology and Allergy 53
  • Physiology 38
Replace Cornelia Czupalla with:
Cornelia Czupalla Germany
Manjari Dimri United States
Tibor Vántus Hungary
Sjenet E. van Emst‐de Vries Netherlands
Massimo D’Amico Italy
Leisl Packer Australia
Л. Б. Дробот Ukraine
Robert Z. Luo United States
Yan Xia United States
Karl Maly Austria
Marcella Debidda relative to Cornelia Czupalla Germany Cornelia Czupalla's profile →
Citations per field
00.5×1.5×2.1×
Cornelia Czupalla · 1×
Citations per year

Countries citing papers authored by Marcella Debidda

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Debidda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008178
2 2006138
3 2005111
4 200794
5 200268
6 201158
7 200255
8 200649
9 200831
10 202129
11 200320
12 200414
13 201312

About Marcella Debidda

Marcella Debidda is a scholar working on Molecular Biology, Cell Biology, Oncology, Organic Chemistry and Physiology, having authored 13 papers that have together received 857 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Melanoma and MAPK Pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Calcium signaling and nucleotide metabolism (2 papers), MicroRNA in disease regulation (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Aging (25 citations), Cancer Research (165 citations), Cell Biology (156 citations), Immunology and Allergy (53 citations) and Physiology (38 citations). Marcella Debidda has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Yi Zheng, Linda Yang, David A. Williams, Gordon S. Huggins, Nikhil C. Munshi, Immaculata De Vivo, Jason Wong, Fukun Guo, Lei Wang and Heesuk Zang. Their work appears in journals such as Journal of Biological Chemistry, Clinical Cardiology, European Journal of Biochemistry, Journal of Cellular Physiology and Gynecologic Oncology.

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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