Mihaela Ginj

2.2k total citations
21 papers, 1.7k citations indexed

About

Mihaela Ginj is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Mihaela Ginj has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Oncology. Recurrent topics in Mihaela Ginj's work include Neuroendocrine Tumor Research Advances (17 papers), Radiopharmaceutical Chemistry and Applications (14 papers) and Lung Cancer Research Studies (10 papers). Mihaela Ginj is often cited by papers focused on Neuroendocrine Tumor Research Advances (17 papers), Radiopharmaceutical Chemistry and Applications (14 papers) and Lung Cancer Research Studies (10 papers). Mihaela Ginj collaborates with scholars based in Switzerland, Germany and Canada. Mihaela Ginj's co-authors include Jean Claude Reubi, Beatrice Waser, Helmut R. Maëcke, Damian Wild, Hanwen Zhang, Helmut R. Mäcke, Renzo Cescato, Jean Rivier, Stefan Schulz and Pedro Antunes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Mihaela Ginj

21 papers receiving 1.7k citations

Peers

Mihaela Ginj
Jörg Schmitt Switzerland
A. Heppeler Switzerland
P.T.E. Postema Netherlands
A. Srinivasan United States
Rosalba Mansi Switzerland
Erik de Blois Netherlands
Jörg Schmitt Switzerland
Mihaela Ginj
Citations per year, relative to Mihaela Ginj Mihaela Ginj (= 1×) peers Jörg Schmitt

Countries citing papers authored by Mihaela Ginj

Since Specialization
Citations

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

Fields of papers citing papers by Mihaela Ginj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihaela Ginj

This figure shows the co-authorship network connecting the top 25 collaborators of Mihaela Ginj. A scholar is included among the top collaborators of Mihaela Ginj 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 Mihaela Ginj. Mihaela Ginj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ottolino‐Perry, Kathryn, Sergio A. Acuña, Fernando A. Angarita, et al.. (2023). Vaccinia virus and peptide-receptor radiotherapy synergize to improve treatment of peritoneal carcinomatosis. Molecular Therapy — Oncolytics. 29. 44–58. 5 indexed citations
2.
Borgna, Francesca, Stephanie Haller, Josep M. Monné Rodríguez, et al.. (2021). Combination of terbium-161 with somatostatin receptor antagonists—a potential paradigm shift for the treatment of neuroendocrine neoplasms. European Journal of Nuclear Medicine and Molecular Imaging. 49(4). 1113–1126. 60 indexed citations
3.
Ginj, Mihaela, et al.. (2019). The effect of utilizing Lean tools in a hospital radiopharmacy. 60. 3020–3020. 2 indexed citations
4.
Dragowska, Wieslawa H., Mihaela Ginj, Piotr Kozłowski, et al.. (2016). Overexpression of HER-2 in MDA-MB-435/LCC6 Tumours is Associated with Higher Metabolic Activity and Lower Energy Stress. Scientific Reports. 6(1). 18537–18537. 1 indexed citations
5.
Boubaker, Ariane, John O. Prior, Jean‐Pierre Willi, et al.. (2012). Biokinetics and dosimetry of 111In-DOTA-NOC-ATE compared with 111In-DTPA-octreotide. European Journal of Nuclear Medicine and Molecular Imaging. 39(12). 1868–1875. 5 indexed citations
6.
Lehmann, Diana, Mihaela Ginj, Stefan Jacobs, et al.. (2010). Pasireotide and Octreotide Stimulate Distinct Patterns of sst2A Somatostatin Receptor Phosphorylation. Molecular Endocrinology. 24(2). 436–446. 79 indexed citations
7.
Ho, Emmanuel A., Euan Ramsay, Mihaela Ginj, et al.. (2010). Characterization of Cationic Liposome Formulations Designed to Exhibit Extended Plasma Residence Times and Tumor Vasculature Targeting Properties. Journal of Pharmaceutical Sciences. 99(6). 2839–2853. 30 indexed citations
8.
Ginj, Mihaela, Hanwen Zhang, Klaus‐Peter Eisenwiener, et al.. (2008). New Pansomatostatin Ligands and Their Chelated Versions: Affinity Profile, Agonist Activity, Internalization, and Tumor Targeting. Clinical Cancer Research. 14(7). 2019–2027. 54 indexed citations
9.
Antunes, Pedro, Mihaela Ginj, Hanwen Zhang, et al.. (2007). Are radiogallium-labelled DOTA-conjugated somatostatin analogues superior to those labelled with other radiometals?. European Journal of Nuclear Medicine and Molecular Imaging. 34(7). 982–993. 284 indexed citations
10.
Ginj, Mihaela, Jörg Schmitt, Jianhua Chen, et al.. (2006). Design, Synthesis, and Biological Evaluation of Somatostatin-Based Radiopeptides. Chemistry & Biology. 13(10). 1081–1090. 37 indexed citations
11.
Antunes, Patrícia Alexandra, Mihaela Ginj, Martin A. Walter, et al.. (2006). Influence of Different Spacers on the Biological Profile of a DOTA−Somatostatin Analogue. Bioconjugate Chemistry. 18(1). 84–92. 63 indexed citations
12.
Cescato, Renzo, Stefan Schulz, Beatrice Waser, et al.. (2006). Internalization of sst2, sst3, and sst5 receptors: effects of somatostatin agonists and antagonists.. PubMed. 47(3). 502–11. 156 indexed citations
13.
Ginj, Mihaela, et al.. (2005). Trifunctional somatostatin-based derivatives designed for targeted radiotherapy using auger electron emitters.. PubMed. 46(12). 2097–103. 50 indexed citations
14.
Ginj, Mihaela & Helmut R. Maëcke. (2005). Synthesis of trifunctional somatostatin based derivatives for improved cellular and subcellular uptake. Tetrahedron Letters. 46(16). 2821–2824. 4 indexed citations
15.
Ginj, Mihaela, Jianhua Chen, Martin A. Walter, et al.. (2005). Preclinical Evaluation of New and Highly Potent Analogues of Octreotide for Predictive Imaging and Targeted Radiotherapy. Clinical Cancer Research. 11(3). 1136–1145. 84 indexed citations
16.
Wild, Damian, Helmut R. Mäcke, Beatrice Waser, et al.. (2004). 68Ga-DOTANOC: a first compound for PET imaging with high affinity for somatostatin receptor subtypes 2 and 5. European Journal of Nuclear Medicine and Molecular Imaging. 32(6). 724–724. 141 indexed citations
17.
Ginj, Mihaela & Helmut R. Maëcke. (2004). Radiometallo-Labeled Peptides in Tumor Diagnosis and Therapy. 109–142. 17 indexed citations
18.
Wild, Damian, Jörg Schmitt, Mihaela Ginj, et al.. (2003). DOTA-NOC, a high-affinity ligand of somatostatin receptor subtypes 2, 3 and 5 for labelling with various radiometals. European Journal of Nuclear Medicine and Molecular Imaging. 30(10). 1338–1347. 230 indexed citations
19.
Bastin, Stéphanie, et al.. (2003). Chiral ferrocenyl amino alcohols for enantioselective additions of diethylzinc to aldehydes. Tetrahedron Asymmetry. 14(12). 1701–1708. 10 indexed citations
20.
Schmitt, Jörg, Damian Wild, Mihaela Ginj, et al.. (2001). DOTA‐NOC, A high affinity ligand of the somatostatin receptor subtypes 2, 3 and 5 for radiotherapy. Journal of Labelled Compounds and Radiopharmaceuticals. 44(S1). 7 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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