Anton Preisinger

493 total citations
8 papers, 391 citations indexed

About

Anton Preisinger is a scholar working on Surgery, Cell Biology and Genetics. According to data from OpenAlex, Anton Preisinger has authored 8 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Anton Preisinger's work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Anton Preisinger is often cited by papers focused on Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Anton Preisinger collaborates with scholars based in United States, Israel and United Kingdom. Anton Preisinger's co-authors include Paul L. Bollyky, Gerald T. Nepom, Ben Falk, John A. Gebe, Thomas N. Wight, Robert B. Vernon, S. Alice Long, Rebecca P. Wu, Michel D. Gooden and Jane H. Buckner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Anton Preisinger

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anton Preisinger United States 7 142 127 122 116 70 8 391
I‐Hua Liu United States 9 84 0.6× 216 1.7× 44 0.4× 38 0.3× 23 0.3× 13 357
Louise H. W. Kung Australia 10 184 1.3× 281 2.2× 43 0.4× 47 0.4× 88 1.3× 15 490
Tadashige Sonoda Japan 12 194 1.4× 132 1.0× 44 0.4× 36 0.3× 32 0.5× 26 540
Caroline Hilmi France 8 69 0.5× 296 2.3× 43 0.4× 32 0.3× 53 0.8× 8 407
Muhamad Ashraf Rostam Australia 8 46 0.3× 263 2.1× 72 0.6× 33 0.3× 27 0.4× 16 418
Toshiyuki Mera Japan 11 29 0.2× 87 0.7× 323 2.6× 167 1.4× 112 1.6× 21 593
Maria Luisa D’Angelo Italy 11 204 1.4× 224 1.8× 33 0.3× 38 0.3× 34 0.5× 12 442
Shinichi Uchikawa Japan 9 77 0.5× 194 1.5× 91 0.7× 30 0.3× 12 0.2× 12 345
Fanny Coudane France 8 49 0.3× 150 1.2× 71 0.6× 24 0.2× 25 0.4× 9 318
Claudine G. James Canada 10 52 0.4× 300 2.4× 29 0.2× 45 0.4× 83 1.2× 11 505

Countries citing papers authored by Anton Preisinger

Since Specialization
Citations

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

Fields of papers citing papers by Anton Preisinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anton Preisinger

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

All Works

8 of 8 papers shown
1.
Vernon, Robert B., Michel D. Gooden, Anton Preisinger, & John A. Gebe. (2018). Controlled release of monoclonal antibodies from poly-l-lysine-coated alginate spheres within a scaffolded implant mitigates autoimmune responses to transplanted islets and limits systemic antibody toxicity. Materials Science and Engineering C. 93. 390–398. 14 indexed citations
2.
Gebe, John A., Anton Preisinger, Michel D. Gooden, Leonard D’Amico, & Robert B. Vernon. (2018). Local, Controlled Release In Vivo of Vascular Endothelial Growth Factor Within a Subcutaneous Scaffolded Islet Implant Reduces Early Islet Necrosis and Improves Performance of the Graft. Cell Transplantation. 27(3). 531–541. 20 indexed citations
3.
Nagy, Nadine, Gernot Kaber, Pamela Y. Johnson, et al.. (2015). Inhibition of hyaluronan synthesis restores immune tolerance during autoimmune insulitis. Journal of Clinical Investigation. 125(10). 3928–3940. 60 indexed citations
4.
Dahan, Rony, John A. Gebe, Anton Preisinger, et al.. (2013). Antigen-specific immunomodulation for type 1 diabetes by novel recombinant antibodies directed against diabetes-associates auto-reactive T cell epitope. Journal of Autoimmunity. 47. 83–93. 14 indexed citations
5.
Bollyky, Paul L., Robert B. Vernon, Ben Falk, et al.. (2013). IL-10 Induction from Implants Delivering Pancreatic Islets and Hyaluronan. Journal of Diabetes Research. 2013. 1–9. 6 indexed citations
6.
Vernon, Robert B., Anton Preisinger, Michel D. Gooden, et al.. (2012). Reversal of Diabetes in Mice with a Bioengineered Islet Implant Incorporating a Type I Collagen Hydrogel and Sustained Release of Vascular Endothelial Growth Factor. Cell Transplantation. 21(10). 2099–2110. 31 indexed citations
7.
Bollyky, Paul L., Rebecca P. Wu, Ben Falk, et al.. (2011). ECM components guide IL-10 producing regulatory T-cell (TR1) induction from effector memory T-cell precursors. Proceedings of the National Academy of Sciences. 108(19). 7938–7943. 120 indexed citations
8.
Bollyky, Paul L., Ben Falk, S. Alice Long, et al.. (2009). CD44 Costimulation Promotes FoxP3+ Regulatory T Cell Persistence and Function via Production of IL-2, IL-10, and TGF-β. The Journal of Immunology. 183(4). 2232–2241. 126 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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