Undine Schubert

2.2k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Undine Schubert is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Undine Schubert has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Undine Schubert's work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Prostate Cancer Treatment and Research (3 papers). Undine Schubert is often cited by papers focused on Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Prostate Cancer Treatment and Research (3 papers). Undine Schubert collaborates with scholars based in Germany, United Kingdom and United States. Undine Schubert's co-authors include Martin A. Maier, Kevin Fitzgerald, Sarah Seifert, Marc Bickle, Ligang Zhang, Anja Zeigerer, Yannis Kalaidzidis, Akin Akinc, Eugenio Fava and Anna Borodovsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Undine Schubert

14 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Image-based analysis of lipid nanoparticle–mediated siRNA delivery, intracellular trafficking and endosomal escape

2013 1.2k citations Jérôme Gilleron, William Querbes et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Undine Schubert Germany	8	1.2k	210	210	198	150	14	1.5k
Funan Liu China	20	613 0.5×	170 0.8×	187 0.9×	265 1.3×	158 1.1×	54	1.3k
Sukanta S. Bhattacharya United States	12	754 0.6×	93 0.4×	275 1.3×	81 0.4×	80 0.5×	20	1.1k
Shibing Wang China	24	721 0.6×	131 0.6×	456 2.2×	201 1.0×	224 1.5×	78	1.5k
David T. Valenta United States	10	298 0.3×	183 0.9×	85 0.4×	145 0.7×	139 0.9×	14	876
Hyung Jun Ahn South Korea	26	1.0k 0.9×	318 1.5×	116 0.6×	418 2.1×	172 1.1×	61	1.6k
Søren W. Gersting Germany	20	977 0.8×	156 0.7×	215 1.0×	165 0.8×	54 0.4×	40	1.4k
Anabel Sorolla Spain	22	791 0.7×	140 0.7×	100 0.5×	144 0.7×	187 1.2×	49	1.3k
Kamal Kant Sharma France	18	608 0.5×	136 0.6×	52 0.2×	126 0.6×	50 0.3×	34	1.3k
Debaditya Mukhopadhyay United States	20	1.2k 1.0×	101 0.5×	133 0.6×	135 0.7×	138 0.9×	29	1.7k

Countries citing papers authored by Undine Schubert

Since Specialization

Citations

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

Fields of papers citing papers by Undine Schubert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Undine Schubert

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

All Works

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14 of 14 papers shown

1.

Schubert, Undine, Susann Lehmann, Janine Schmid, et al.. (2024). The Adrenal Gland and Pancreatic Islets – A Beneficial Endocrine Alliance. Hormone and Metabolic Research. 56(4). 286–293. 1 indexed citations

2.

Schubert, Undine, Janine Schmid, Susann Lehmann, et al.. (2023). Mechanistic Insights into Ferroptotic Cell Death in Pancreatic Islets. Hormone and Metabolic Research. 56(4). 279–285. 5 indexed citations

3.

Tritschler, Sophie, Moritz Thomas, Anika Böttcher, et al.. (2022). A transcriptional cross species map of pancreatic islet cells. Molecular Metabolism. 66. 101595–101595. 23 indexed citations

4.

Ludwig, Stefan, Marius Distler, Undine Schubert, et al.. (2022). Quality of life and metabolic outcomes after total pancreatectomy and simultaneous islet autotransplantation. SHILAP Revista de lepidopterología. 2(1). 24–24. 5 indexed citations

5.

Ruiz‐Babot, Gerard, Mariya Balyura, Irene Hadjidemetriou, et al.. (2018). Modeling Congenital Adrenal Hyperplasia and Testing Interventions for Adrenal Insufficiency Using Donor-Specific Reprogrammed Cells. Cell Reports. 22(5). 1236–1249. 43 indexed citations

6.

Ruiz‐Babot, Gerard, Mariya Balyura, Irene Hadjidemetriou, et al.. (2018). Modeling Congenital Adrenal Hyperplasia and Testing Interventions for Adrenal Insufficiency Using Donor-Specific Reprogrammed Cells. SSRN Electronic Journal. 1 indexed citations

7.

Steffen, Anja, Thomas Kiss, Janine Schmid, et al.. (2017). Production of high‐quality islets from goettingen minipigs: Choice of organ preservation solution, donor pool, and optimal cold ischemia time. Xenotransplantation. 24(1). 7 indexed citations

8.

Ludwig, Barbara, Undine Schubert, Janine Schmid, et al.. (2016). Diabetes induction by total pancreatectomy in minipigs with simultaneous splenectomy: a feasible approach for advanced diabetes research. Xenotransplantation. 23(5). 405–413. 7 indexed citations

9.

Steidl, Jörg, Johannes Schuler, Undine Schubert, Ottfried Dietrich, & Peter Zander. (2015). Expansion of an Existing Water Management Model for the Analysis of Opportunities and Impacts of Agricultural Irrigation under Climate Change Conditions. Water. 7(11). 6351–6377. 17 indexed citations

10.

Gilleron, Jérôme, William Querbes, Anja Zeigerer, et al.. (2013). Image-based analysis of lipid nanoparticle–mediated siRNA delivery, intracellular trafficking and endosomal escape. Nature Biotechnology. 31(7). 638–646. 1232 indexed citations breakdown →

11.

Schubert, Undine, Janine Schmid, Susann Lehmann, et al.. (2013). Transplantation of pancreatic islets to adrenal gland is promoted by agonists of growth-hormone-releasing hormone. Proceedings of the National Academy of Sciences. 110(6). 2288–2293. 30 indexed citations

12.

Fousteris, Manolis A., et al.. (2010). 20-Aminosteroids as a novel class of selective and complete androgen receptor antagonists and inhibitors of prostate cancer cell growth. Bioorganic & Medicinal Chemistry. 18(19). 6960–6969. 22 indexed citations

13.

Papaioannou, Maria, Undine Schubert, Tamzin Tanner, et al.. (2009). NBBS isolated from Pygeum africanum bark exhibits androgen antagonistic activity, inhibits AR nuclear translocation and prostate cancer cell growth. Investigational New Drugs. 28(6). 729–743. 31 indexed citations

14.

Papaioannou, Maria, Undine Schubert, Tamzin Tanner, et al.. (2008). The natural compound atraric acid is an antagonist of the human androgen receptor inhibiting cellular invasiveness and prostate cancer cell growth. Journal of Cellular and Molecular Medicine. 13(8b). 2210–2223. 45 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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