Daniela Stanga

416 total citations
9 papers, 119 citations indexed

About

Daniela Stanga is a scholar working on Oncology, Cell Biology and Physiology. According to data from OpenAlex, Daniela Stanga has authored 9 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Daniela Stanga's work include CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Daniela Stanga is often cited by papers focused on CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Daniela Stanga collaborates with scholars based in Canada, United States and Spain. Daniela Stanga's co-authors include Michael Sacher, Miroslav P. Milev, C. Jimenez‐Mallebrera, Djenann Saint‐Dic, Qingchuan Zhao, Kirsten C. Sadler, Hudson H. Freeze, Ana M. Vacaru, Ningguo Gao and Anastasia Baryshnikova and has published in prestigious journals such as Scientific Reports, Molecular Biology of the Cell and PLoS Genetics.

In The Last Decade

Daniela Stanga

8 papers receiving 119 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Stanga Canada 6 63 61 32 19 19 9 119
Christine Phillips-Krawczak United States 4 68 1.1× 72 1.2× 19 0.6× 8 0.4× 17 0.9× 4 116
Matteo Gorza Germany 5 62 1.0× 129 2.1× 18 0.6× 25 1.3× 29 1.5× 6 199
Yangxue Fu United States 3 106 1.7× 167 2.7× 51 1.6× 8 0.4× 12 0.6× 3 233
İbrahim Öncel Türkiye 7 20 0.3× 87 1.4× 18 0.6× 30 1.6× 18 0.9× 23 153
Mona Mohammad Almramhi United Kingdom 8 56 0.9× 117 1.9× 8 0.3× 13 0.7× 58 3.1× 13 189
Orla Galvin United Kingdom 7 25 0.4× 147 2.4× 13 0.4× 21 1.1× 31 1.6× 10 224
Fabiola Mavillard Spain 5 34 0.5× 75 1.2× 7 0.2× 25 1.3× 8 0.4× 10 104
Sebastian Kallabis Germany 6 24 0.4× 149 2.4× 14 0.4× 9 0.5× 12 0.6× 10 185
Kelsey Hickey United States 3 53 0.8× 206 3.4× 32 1.0× 8 0.4× 20 1.1× 5 251
Raoul F. V. Germano Belgium 3 26 0.4× 76 1.2× 13 0.4× 12 0.6× 4 0.2× 4 115

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-authorship network of co-authors of Daniela Stanga

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Stanga. A scholar is included among the top collaborators of Daniela Stanga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Stanga. Daniela Stanga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Abusarah, Jamilah, Nehmé El-Hachem, Sébastien Talbot, et al.. (2024). A1-reprogrammed mesenchymal stromal cells prime potent antitumoral responses. iScience. 27(3). 109248–109248. 1 indexed citations
2.
El-Hachem, Nehmé, Jamilah Abusarah, Gabrielle A. Mandl, et al.. (2024). Local delivery of accutox® synergises with immune-checkpoint inhibitors at disrupting tumor growth. Journal of Translational Medicine. 22(1). 532–532.
3.
Abusarah, Jamilah, et al.. (2024). An engineered Accum‐E7 protein‐based vaccine with dual anti‐cervical cancer activity. Cancer Science. 115(4). 1102–1113. 6 indexed citations
4.
El-Hachem, Nehmé, Christine Lawson, Lee‐Hwa Tai, et al.. (2023). Intratumoral administration of unconjugated Accum™ impairs the growth of pre‐established solid lymphoma tumors. Cancer Science. 114(12). 4499–4510. 3 indexed citations
5.
Lipatova, Zhanna, et al.. (2020). TRAPPing a neurological disorder: from yeast to humans. Autophagy. 16(5). 965–966. 7 indexed citations
6.
Stanga, Daniela, Qingchuan Zhao, Miroslav P. Milev, et al.. (2019). TRAPPC11 functions in autophagy by recruiting ATG2B‐WIPI4/WDR45 to preautophagosomal membranes. Traffic. 20(5). 325–345. 46 indexed citations
7.
Milev, Miroslav P., Daniela Stanga, Anne Schänzer, et al.. (2019). Characterization of three TRAPPC11 variants suggests a critical role for the extreme carboxy terminus of the protein. Scientific Reports. 9(1). 14036–14036. 9 indexed citations
8.
DeRossi, Charles, Ana M. Vacaru, Ayca Cinaroglu, et al.. (2016). trappc11is required for protein glycosylation in zebrafish and humans. Molecular Biology of the Cell. 27(8). 1220–1234. 30 indexed citations
9.
Gaitan, Yaned, Maxwell E. R. Shafer, Lamine Aoudjit, et al.. (2016). A Point Mutation in p190A RhoGAP Affects Ciliogenesis and Leads to Glomerulocystic Kidney Defects. PLoS Genetics. 12(2). e1005785–e1005785. 17 indexed citations

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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