Daniela Stanga

416 citations
9 papers · 119 · h-index 6

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • CAR-T cell therapy research 3
    • Endoplasmic Reticulum Stress and Disease 3
    • Cellular transport and secretion 3

Daniela Stanga

8 papers receiving 119 citations

Peers

Daniela Stanga
Comparison fields: 5 of 39
  • Cell Biology 63
  • Aging 2
  • Physiology 5
  • Cellular and Molecular Neuroscience 19
  • Epidemiology 32
Replace Francesca Zappa with:
Francesca Zappa Italy
Nicolas Dondaine France
İbrahim Öncel Türkiye
Kelsey Hickey United States
Sara A. Wirth United States
Orla Galvin United Kingdom
Jonathan Volpatti Canada
Fabiola Mavillard Spain
Célia Parinot France
Carolin Wegbrod Germany
Daniela Stanga relative to Francesca Zappa Italy Francesca Zappa's profile →
Citations per field
00.5×2.9×
Francesca Zappa · 1×
Citations per year

Countries citing papers authored by Daniela Stanga

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Stanga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201946
2 201630
3 201617
4 20199
5 20207
6 20246
7 20233
8 20241
9 20240

About Daniela Stanga

Daniela Stanga is a scholar working on Oncology, Cell Biology, Physiology, Immunology and Molecular Biology, having authored 9 papers that have together received 119 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Cellular transport and secretion (3 papers), Lysosomal Storage Disorders Research (2 papers), Immune Cell Function and Interaction (2 papers), Pancreatic function and diabetes (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Cell Biology (63 citations), Aging (2 citations), Physiology (5 citations), Cellular and Molecular Neuroscience (19 citations) and Epidemiology (32 citations). Daniela Stanga has collaborated with scholars based in Canada, Spain and United States. Frequent co-authors include Michael Sacher, Miroslav P. Milev, C. Jimenez‐Mallebrera, Djenann Saint‐Dic, Qingchuan Zhao, Ana M. Vacaru, Shikha Nayar, Kirsten C. Sadler, Anastasia Baryshnikova and Jaime Chu. Their work appears in journals such as Cancer Science, Molecular Biology of the Cell, Traffic, Scientific Reports and Journal of Translational Medicine.

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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