Max Urbanczyk

502 total citations
11 papers, 333 citations indexed

About

Max Urbanczyk is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Max Urbanczyk has authored 11 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Max Urbanczyk's work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Pluripotent Stem Cells Research (2 papers). Max Urbanczyk is often cited by papers focused on Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Pluripotent Stem Cells Research (2 papers). Max Urbanczyk collaborates with scholars based in Germany, Ireland and United States. Max Urbanczyk's co-authors include Katja Schenke‐Layland, Shannon L. Layland, Aline Zbinden, Garry P. Duffy, Peter Loskill, Julia Marzi, Eva Brauchle, Christopher Probst, Udo Kraushaar and Daniel A. Carvajal Berrio and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and Acta Biomaterialia.

In The Last Decade

Max Urbanczyk

10 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Urbanczyk Germany 8 142 127 75 52 47 11 333
Aline Zbinden Germany 10 138 1.0× 143 1.1× 99 1.3× 26 0.5× 29 0.6× 13 356
Ung Hyun Ko South Korea 10 157 1.1× 128 1.0× 122 1.6× 34 0.7× 65 1.4× 23 360
Zhengmeng Yang China 15 117 0.8× 64 0.5× 191 2.5× 44 0.8× 52 1.1× 27 495
JaeSang Ko South Korea 15 58 0.4× 79 0.6× 126 1.7× 46 0.9× 27 0.6× 51 601
Isabel Calejo Portugal 13 157 1.1× 202 1.6× 68 0.9× 49 0.9× 97 2.1× 20 514
И. Н. Сабурина Russia 12 134 0.9× 72 0.6× 101 1.3× 60 1.2× 50 1.1× 55 368
Li Yen Chong Singapore 12 81 0.6× 69 0.5× 113 1.5× 23 0.4× 60 1.3× 22 401
Nina Dzhoyashvili Russia 7 93 0.7× 90 0.7× 114 1.5× 15 0.3× 74 1.6× 9 358

Countries citing papers authored by Max Urbanczyk

Since Specialization
Citations

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

Fields of papers citing papers by Max Urbanczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Urbanczyk

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

All Works

11 of 11 papers shown
1.
Urbanczyk, Max, et al.. (2024). Forward programming of hiPSCs towards beta-like cells using Ngn3, Pdx1, and MafA. Scientific Reports. 14(1). 13608–13608. 3 indexed citations
2.
Urbanczyk, Max, et al.. (2024). Heterogeneity of Endothelial Cells Impacts the Functionality of Human Pancreatic In Vitro Models. Tissue Engineering Part A. 31(13-14). 988–1004. 1 indexed citations
3.
Urbanczyk, Max, Stefan Czemmel, Sven Nahnsen, et al.. (2024). ECM Proteins Nidogen‐1 and Decorin Restore Functionality of Human Islets of Langerhans upon Hypoxic Conditions. Advanced Healthcare Materials. 14(2). e2403017–e2403017.
4.
Urbanczyk, Max, Aline Zbinden, Julia Marzi, et al.. (2022). Decorin improves human pancreatic β-cell function and regulates ECM expression in vitro. Matrix Biology. 115. 160–183. 8 indexed citations
5.
Urbanczyk, Max, Aline Zbinden, & Katja Schenke‐Layland. (2022). Organ-specific endothelial cell heterogenicity and its impact on regenerative medicine and biomedical engineering applications. Advanced Drug Delivery Reviews. 186. 114323–114323. 26 indexed citations
6.
7.
Zbinden, Aline, Max Urbanczyk, Shannon L. Layland, et al.. (2020). Collagen and Endothelial Cell Coculture Improves β-Cell Functionality and Rescues Pancreatic Extracellular Matrix. Tissue Engineering Part A. 27(13-14). 977–991. 20 indexed citations
8.
Zbinden, Aline, Daniel A. Carvajal Berrio, Max Urbanczyk, et al.. (2020). Fluorescence lifetime metabolic mapping of hypoxia‐induced damage in pancreatic pseudo‐islets. Journal of Biophotonics. 13(12). e202000375–e202000375. 8 indexed citations
9.
Urbanczyk, Max, Aline Zbinden, Shannon L. Layland, Garry P. Duffy, & Katja Schenke‐Layland. (2019). Controlled Heterotypic Pseudo-Islet Assembly of Human β-Cells and Human Umbilical Vein Endothelial Cells Using Magnetic Levitation. Tissue Engineering Part A. 26(7-8). 387–399. 46 indexed citations
10.
Urbanczyk, Max, Shannon L. Layland, & Katja Schenke‐Layland. (2019). The role of extracellular matrix in biomechanics and its impact on bioengineering of cells and 3D tissues. Matrix Biology. 85-86. 1–14. 139 indexed citations
11.
Zbinden, Aline, Julia Marzi, Christopher Probst, et al.. (2019). Non-invasive marker-independent high content analysis of a microphysiological human pancreas-on-a-chip model. Matrix Biology. 85-86. 205–220. 70 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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