Gernot Kaber

1.6k total citations
36 papers, 775 citations indexed

About

Gernot Kaber is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Gernot Kaber has authored 36 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cell Biology and 7 papers in Surgery. Recurrent topics in Gernot Kaber's work include Proteoglycans and glycosaminoglycans research (12 papers), Glycosylation and Glycoproteins Research (6 papers) and Pancreatic function and diabetes (6 papers). Gernot Kaber is often cited by papers focused on Proteoglycans and glycosaminoglycans research (12 papers), Glycosylation and Glycoproteins Research (6 papers) and Pancreatic function and diabetes (6 papers). Gernot Kaber collaborates with scholars based in United States, Germany and New Zealand. Gernot Kaber's co-authors include Paul L. Bollyky, Nadine Nagy, Hedwich F. Kuipers, Thomas N. Wight, Payton L. Marshall, Karsten Schrör, Pamela Y. Johnson, Michael J. Kratochvil, Sarah C. Heilshorn and Andrey V. Malkovskiy and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Gernot Kaber

33 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gernot Kaber United States 17 309 237 105 98 91 36 775
Piotr Wierzbicki Poland 19 466 1.5× 150 0.6× 102 1.0× 107 1.1× 200 2.2× 83 1.0k
Christine R. Montague United States 13 477 1.5× 309 1.3× 112 1.1× 75 0.8× 125 1.4× 16 1.1k
Catelijne Stortelers Belgium 16 824 2.7× 216 0.9× 45 0.4× 73 0.7× 240 2.6× 22 1.3k
Tsutomu Tanaka Japan 19 428 1.4× 214 0.9× 101 1.0× 104 1.1× 169 1.9× 36 996
Joonsung Hwang South Korea 22 771 2.5× 227 1.0× 35 0.3× 30 0.3× 96 1.1× 37 1.1k
Roser López‐Alemany Spain 16 603 2.0× 104 0.4× 57 0.5× 111 1.1× 96 1.1× 29 1.0k
Philip A. Klenotic United States 16 520 1.7× 52 0.2× 56 0.5× 49 0.5× 159 1.7× 27 912
Paola Chiodelli Italy 22 695 2.2× 241 1.0× 79 0.8× 86 0.9× 156 1.7× 42 1.1k
Narayanan Parthasarathy United States 17 537 1.7× 464 2.0× 57 0.5× 48 0.5× 37 0.4× 30 1.0k
T M Chiang United States 15 215 0.7× 85 0.4× 67 0.6× 82 0.8× 62 0.7× 35 716

Countries citing papers authored by Gernot Kaber

Since Specialization
Citations

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

Fields of papers citing papers by Gernot Kaber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gernot Kaber

This figure shows the co-authorship network connecting the top 25 collaborators of Gernot Kaber. A scholar is included among the top collaborators of Gernot Kaber 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 Gernot Kaber. Gernot Kaber 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.
Rotiroti, Maria Caterina, Aidan M. Tousley, Marco Herrera‐Barrera, et al.. (2025). Engineering T cells with a membrane-tethered version of SLP-76 overcomes antigen-low resistance to CAR T cell therapy. Nature Cancer. 6(12). 1940–1954.
2.
Barlow, Graham L., Christian M. Schürch, Salil S. Bhate, et al.. (2025). The extra-islet pancreas supports autoimmunity in human type 1 diabetes. eLife. 13. 2 indexed citations
3.
Nagy, Nadine, Adam Frymoyer, Harry Karmouty‐Quintana, et al.. (2025). Randomised, placebo-controlled trial of oral hymecromone in adults with pulmonary hypertension. Thorax. 80(9). 632–640.
4.
Li, Zhiwei, Nadine Nagy, Gernot Kaber, et al.. (2025). Hyaluronan Accumulates in Inflamed Lymph Nodes and Promotes B‐Cell Activation. 3(3). 1 indexed citations
5.
Nagy, Nadine, Gernot Kaber, Darko Stefanovski, et al.. (2024). Hymecromone Promotes Longevity and Insulin Sensitivity in Mice. Cells. 13(20). 1727–1727.
6.
LeSavage, Bauer L., Aidan E. Gilchrist, Brad A. Krajina, et al.. (2024). Engineered matrices reveal stiffness-mediated chemoresistance in patient-derived pancreatic cancer organoids. Nature Materials. 23(8). 1138–1149. 48 indexed citations
7.
Barlow, Graham L., Christian M. Schürch, Salil S. Bhate, et al.. (2024). The extra-islet pancreas supports autoimmunity in human type 1 diabetes. eLife. 13. 1 indexed citations
8.
Popescu, Medeea C., Naomi L. Haddock, Elizabeth B. Burgener, et al.. (2024). The Inovirus Pf4 Triggers Antiviral Responses and Disrupts the Proliferation of Airway Basal Epithelial Cells. Viruses. 16(1). 165–165. 2 indexed citations
9.
Nagy, Nadine, Gernot Kaber, Vivekananda Gupta Sunkari, et al.. (2023). Inhibition of hyaluronan synthesis prevents β-cell loss in obesity-associated type 2 diabetes. Matrix Biology. 123. 34–47. 5 indexed citations
10.
Vries, Christiaan R. de, Qingquan Chen, Sally Demirdjian, et al.. (2020). Phages in vaccine design and immunity; mechanisms and mysteries. Current Opinion in Biotechnology. 68. 160–165. 21 indexed citations
11.
Harten, Ingrid A., Gernot Kaber, Inkyung Kang, et al.. (2020). The synthesis and secretion of versican isoform V3 by mammalian cells: A role for N-linked glycosylation. Matrix Biology. 89. 27–42. 8 indexed citations
12.
Nagy, Nadine, Gernot Kaber, Michael J. Kratochvil, et al.. (2020). Weekly injection of IL-2 using an injectable hydrogel reduces autoimmune diabetes incidence in NOD mice. Diabetologia. 64(1). 152–158. 12 indexed citations
13.
Nagy, Nadine, Irina Gurevich, Hedwich F. Kuipers, et al.. (2019). 4-Methylumbelliferyl glucuronide contributes to hyaluronan synthesis inhibition. Journal of Biological Chemistry. 294(19). 7864–7877. 39 indexed citations
14.
Nagy, Nadine, Vivekananda Gupta Sunkari, Gernot Kaber, et al.. (2018). Hyaluronan levels are increased systemically in human type 2 but not type 1 diabetes independently of glycemic control. Matrix Biology. 80. 46–58. 25 indexed citations
15.
Nagy, Nadine, et al.. (2018). Hyaluronan in immune dysregulation and autoimmune diseases. Matrix Biology. 78-79. 292–313. 69 indexed citations
16.
Chen, Che‐Hong, Gernot Kaber, Daria Mochly‐Rosen, et al.. (2017). Human Chitotriosidase Does Not Catabolize Hyaluronan. International Journal of Biological Macromolecules. 109. 629–633. 1 indexed citations
17.
Gebe, John A., Koshika Yadava, Shannon M. Ruppert, et al.. (2016). Modified High-Molecular-Weight Hyaluronan Promotes Allergen-Specific Immune Tolerance. American Journal of Respiratory Cell and Molecular Biology. 56(1). 109–120. 22 indexed citations
18.
Kaber, Gernot, et al.. (2010). Targeting phosphoprotein profiling by combination of hydroxyapatite-based phosphoprotein enrichment and SELDI-TOF MS. Archives of Physiology and Biochemistry. 116(4-5). 181–187. 3 indexed citations
19.
20.
Martin, Melanie, Jutta Meyer-Kirchrath, Gernot Kaber, et al.. (2005). Cardiospecific Overexpression of the Prostaglandin EP 3 Receptor Attenuates Ischemia-Induced Myocardial Injury. Circulation. 112(3). 400–406. 38 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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