Björn Tyrberg

2.2k total citations
45 papers, 1.7k citations indexed

About

Björn Tyrberg is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Björn Tyrberg has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 20 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Genetics. Recurrent topics in Björn Tyrberg's work include Pancreatic function and diabetes (31 papers), Diabetes and associated disorders (16 papers) and Diabetes Management and Research (10 papers). Björn Tyrberg is often cited by papers focused on Pancreatic function and diabetes (31 papers), Diabetes and associated disorders (16 papers) and Diabetes Management and Research (10 papers). Björn Tyrberg collaborates with scholars based in Sweden, United States and Denmark. Björn Tyrberg's co-authors include George A. Kyriazis, Mangala M. Soundarapandian, Décio L. Eizirik, Fred Levine, Arne Andersson, Pamela Itkin‐Ansari, Ergeng Hao, Malin Flodström‐Tullberg, S. Sandler and Ifat Geron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Björn Tyrberg

45 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Björn Tyrberg Sweden 21 933 620 555 515 334 45 1.7k
Akemi Hara Japan 13 562 0.6× 332 0.5× 424 0.8× 207 0.4× 238 0.7× 26 1.2k
E. G. Siegel Germany 23 1.3k 1.4× 1.3k 2.2× 763 1.4× 311 0.6× 263 0.8× 54 2.4k
Mitsuhisa Komatsu Japan 29 1.4k 1.5× 1.0k 1.7× 1.2k 2.1× 479 0.9× 103 0.3× 114 2.6k
Joana Almaça United States 21 775 0.8× 418 0.7× 641 1.2× 471 0.9× 44 0.1× 38 1.6k
Toru Seo Japan 24 682 0.7× 354 0.6× 730 1.3× 54 0.1× 371 1.1× 79 2.2k
Sunila Mahavadi United States 23 287 0.3× 169 0.3× 694 1.3× 108 0.2× 221 0.7× 73 1.6k
Gerhard Böttcher Sweden 24 709 0.8× 370 0.6× 680 1.2× 175 0.3× 147 0.4× 39 1.9k
Jian Xie United States 23 186 0.2× 129 0.2× 897 1.6× 379 0.7× 315 0.9× 34 1.9k
Katsunori Tsukuda Japan 22 650 0.7× 287 0.5× 1.0k 1.9× 247 0.5× 43 0.1× 36 1.6k
Nadim Kassis France 21 484 0.5× 267 0.4× 474 0.9× 268 0.5× 109 0.3× 45 1.4k

Countries citing papers authored by Björn Tyrberg

Since Specialization
Citations

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

Fields of papers citing papers by Björn Tyrberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Tyrberg

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Tyrberg. A scholar is included among the top collaborators of Björn Tyrberg 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 Björn Tyrberg. Björn Tyrberg 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.
Karlsson, Daniel, Andrea Ahnmark, Alan Sabirsh, et al.. (2022). Inhibition of SGLT2 Preserves Function and Promotes Proliferation of Human Islets Cells In Vivo in Diabetic Mice. Biomedicines. 10(2). 203–203. 7 indexed citations
2.
Grunddal, Kaare V., Samuel A.J. Trammell, Daniel B. Andersen, et al.. (2022). Opposing roles of the entero-pancreatic hormone urocortin-3 in glucose metabolism in rats. Diabetologia. 65(6). 1018–1031. 6 indexed citations
3.
Mondal, Tanmoy, Ali M. Tabish, Elke Ericson, et al.. (2021). The long noncoding RNA TUNAR modulates Wnt signaling and regulates human β-cell proliferation. American Journal of Physiology-Endocrinology and Metabolism. 320(4). E846–E857. 11 indexed citations
4.
Jörns, Anne, Ilir Mehmeti, Anna Walentinsson, et al.. (2021). MCPIP1 is a novel link between diabetogenic conditions and impaired insulin secretory capacity. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(10). 166199–166199. 4 indexed citations
5.
6.
Kuhre, Rune E., Seyed Mojtaba Ghiasi, Alice E. Adriaenssens, et al.. (2019). No direct effect of SGLT2 activity on glucagon secretion. Diabetologia. 62(6). 1011–1023. 61 indexed citations
7.
Ghiasi, Seyed Mojtaba, Mattias Salling Dahllöf, Kathrine Kronberg Jakobsen, et al.. (2018). Regulation of the β-cell inflammasome and contribution to stress-induced cellular dysfunction and apoptosis. Molecular and Cellular Endocrinology. 478. 106–114. 20 indexed citations
8.
Sisino, Giorgia, Alex‐Xianghua Zhou, Alan Sabirsh, et al.. (2017). Long noncoding RNAs are dynamically regulated during β-cell mass expansion in mouse pregnancy and control β-cell proliferation in vitro. PLoS ONE. 12(8). e0182371–e0182371. 15 indexed citations
9.
Simon, B, Brian S. Learman, Sebastian D. Parlee, et al.. (2014). Sweet Taste Receptor Deficient Mice Have Decreased Adiposity and Increased Bone Mass. PLoS ONE. 9(1). e86454–e86454. 58 indexed citations
10.
Simon, B, Sebastian D. Parlee, Brian S. Learman, et al.. (2013). Artificial Sweeteners Stimulate Adipogenesis and Suppress Lipolysis Independently of Sweet Taste Receptors. Journal of Biological Chemistry. 288(45). 32475–32489. 98 indexed citations
11.
12.
Ball, Andrew J., Annelie Abrahamsson, Björn Tyrberg, Pamela Itkin‐Ansari, & Fred Levine. (2007). HES6 reverses nuclear reprogramming of insulin-producing cells following cell fusion. Biochemical and Biophysical Research Communications. 355(2). 331–337. 8 indexed citations
13.
Qian, Dong, et al.. (2006). Basic helix–loop–helix gene Hes6 delineates the sensory hair cell lineage in the inner ear. Developmental Dynamics. 235(6). 1689–1700. 23 indexed citations
14.
Geron, Ifat, et al.. (2003). Cell‐Based Therapies for Diabetes: Progress towards a Transplantable Human β Cell Line. Annals of the New York Academy of Sciences. 1005(1). 138–147. 16 indexed citations
15.
Demeterco, Carla, et al.. (2002). c-Myc Controls ProliferationVersusDifferentiation in Human Pancreatic Endocrine Cells. The Journal of Clinical Endocrinology & Metabolism. 87(7). 3475–3485. 31 indexed citations
16.
Halvorsen, Tanya, Carla Demeterco, Björn Tyrberg, et al.. (2001). β-Cell Differentiation from a Human Pancreatic Cell Line in Vitro and in Vivo. Molecular Endocrinology. 15(3). 476–483. 109 indexed citations
17.
Jansson, Leif, et al.. (2001). MICROCIRCULATION OF HUMAN PANCREATIC ISLETS TRANSPLANTED UNDER THE RENAL CAPSULE OF NUDE MICE1. Transplantation. 72(4). 730–732. 4 indexed citations
18.
Carlsson, Per‐Ola, Arne Andersson, Carina Carlsson, et al.. (2000). Engraftment and Growth of Transplanted Pancreatic Islets. Upsala Journal of Medical Sciences. 105(2). 107–123. 14 indexed citations
19.
Tyrberg, Björn. (1999). Neogenesis and alloxan toxicity in pancreatic islets, with special reference to the transplanted human β-cell. Acta Universitatis Upsaliensis eBooks. 896. 1 indexed citations
20.
Delaney, Carol A., Björn Tyrberg, Luc Bouwens, et al.. (1996). Sensitivity of human pancreatic islets to peroxynitrite‐induced cell dysfunction and death. FEBS Letters. 394(3). 300–306. 89 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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