Marcella Salzano

581 citations
13 papers · 391 · h-index 9

Impact in

Papers in

    • Nuclear Structure and Function 5
    • DNA Repair Mechanisms 3
    • Genomics and Chromatin Dynamics 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cancer-related Molecular Pathways 2
    • Cytokine Signaling Pathways and Interactions 2

Marcella Salzano

13 papers receiving 388 citations

Peers

Marcella Salzano
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 109
  • Oncology 100
  • Molecular Biology 238
  • Genetics 26
  • Cell Biology 42
Replace Frederic F. Clermont with:
Frederic F. Clermont Belgium
Samantha Messina Italy
Hervé Jouishomme Canada
Akiko Mukai Japan
MA Thompson Australia
Federico Simone United States
Fransiscus E. Utama United States
Ravinder K. Suniara United Kingdom
Amanda J Novak United States
Marcella Salzano relative to Frederic F. Clermont Belgium Frederic F. Clermont's profile →
Citations per field
00.5×3.3×
Frederic F. Clermont · 1×
Citations per year

Countries citing papers authored by Marcella Salzano

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Salzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011145
2 201554
3 201440
4 201630
5 202027
6 201227
7 200924
8 201419
9 201212
10 20137
11 20173
12 20142
13 19971

About Marcella Salzano

Marcella Salzano is a scholar working on Molecular Biology, Oncology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 13 papers that have together received 391 indexed citations. Recurring topics across this work include Nuclear Structure and Function (5 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cancer-related Molecular Pathways (2 papers), Cell Adhesion Molecules Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (109 citations), Oncology (100 citations), Molecular Biology (238 citations), Genetics (26 citations) and Cell Biology (42 citations). Marcella Salzano has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Pedro A. Lazo, Marta Sanz-García, Diana M. Monsalve, Michael Ryder, Mario Medvedovic, Emma T. Lundsmith, James A. Fagin, Jeffrey A. Knauf, Maureen A. Sartor and Yuri E. Nikiforov. Their work appears in journals such as Clinical Cancer Research, Oncogene, Oncotarget, International Journal of Oncology and Journal of Cellular Physiology.

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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