Behrous Davani

846 total citations
8 papers, 670 citations indexed

About

Behrous Davani is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Behrous Davani has authored 8 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Behrous Davani's work include Pancreatic function and diabetes (5 papers), Diabetes Management and Research (3 papers) and Diabetes and associated disorders (3 papers). Behrous Davani is often cited by papers focused on Pancreatic function and diabetes (5 papers), Diabetes Management and Research (3 papers) and Diabetes and associated disorders (3 papers). Behrous Davani collaborates with scholars based in Sweden, United States and Israel. Behrous Davani's co-authors include Sam Okret, Claes‐Göran Östenson, Jan-Ακε Gustafsson, Arne Andersson, S. Efendić, A. Cintra, Abdul Rehman Khan, Franck Delaunay, Ling Zhang and Suad Efendić and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Diabetes.

In The Last Decade

Behrous Davani

8 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Behrous Davani Sweden 8 333 288 191 180 112 8 670
F. Ichikawa Japan 10 164 0.5× 201 0.7× 198 1.0× 261 1.4× 203 1.8× 11 640
Yoichi Hamada Japan 11 273 0.8× 143 0.5× 178 0.9× 175 1.0× 175 1.6× 19 668
Tiina Kuulasmaa Finland 13 230 0.7× 146 0.5× 170 0.9× 283 1.6× 91 0.8× 17 618
S. Ekberg Sweden 12 337 1.0× 125 0.4× 109 0.6× 227 1.3× 79 0.7× 16 718
Liora S. Katz United States 17 171 0.5× 345 1.2× 175 0.9× 331 1.8× 153 1.4× 28 737
Alexander Balhuizen Sweden 11 166 0.5× 207 0.7× 171 0.9× 194 1.1× 65 0.6× 14 475
Tina Kienitz Germany 13 329 1.0× 106 0.4× 67 0.4× 122 0.7× 49 0.4× 35 547
Pierre R. Provost Canada 17 142 0.4× 191 0.7× 102 0.5× 236 1.3× 66 0.6× 40 749
A. E. Pontiroli Italy 12 128 0.4× 165 0.6× 52 0.3× 132 0.7× 64 0.6× 24 415
Camilla A M Glad Sweden 15 345 1.0× 88 0.3× 105 0.5× 197 1.1× 237 2.1× 27 691

Countries citing papers authored by Behrous Davani

Since Specialization
Citations

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

Fields of papers citing papers by Behrous Davani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrous Davani

This figure shows the co-authorship network connecting the top 25 collaborators of Behrous Davani. A scholar is included among the top collaborators of Behrous Davani 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 Behrous Davani. Behrous Davani 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.
Davani, Behrous, et al.. (2008). Human islet‐derived precursor cells can cycle between epithelial clusters and mesenchymal phenotypes. Journal of Cellular and Molecular Medicine. 13(8b). 2570–2581. 13 indexed citations
2.
Lee, Ji‐Yeon, Oksana Gavrilova, Behrous Davani, et al.. (2007). The transcription factors Stat5a/b are not required for islet development but modulate pancreatic β-cell physiology upon aging. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(9). 1455–1461. 29 indexed citations
3.
Davani, Behrous, Laertis Ikonomou, Bruce M. Raaka, et al.. (2007). Human Islet-Derived Precursor Cells Are Mesenchymal Stromal Cells That Differentiate and Mature to Hormone-Expressing Cells In Vivo. Stem Cells. 25(12). 3215–3222. 90 indexed citations
4.
Davani, Behrous, Neil Portwood, Martina Kvist Reimer, et al.. (2004). Aged Transgenic Mice With Increased Glucocorticoid Sensitivity in Pancreatic β-Cells Develop Diabetes. Diabetes. 53(suppl_1). S51–S59. 63 indexed citations
5.
Davani, Behrous, Akhtar Khan, Malin Hult, et al.. (2000). Type 1 11β-Hydroxysteroid Dehydrogenase Mediates Glucocorticoid Activation and Insulin Release in Pancreatic Islets. Journal of Biological Chemistry. 275(45). 34841–34844. 89 indexed citations
6.
Pazirandeh, Ahmad, et al.. (1999). p57Kip2, a Glucocorticoid-Induced Inhibitor of Cell Cycle Progression in HeLa Cells. Molecular Endocrinology. 13(11). 1811–1822. 82 indexed citations
7.
Khan, Abdul Waheed, Behrous Davani, Claes‐Göran Östenson, et al.. (1998). Increased glucocorticoid sensitivity in islet beta-cells: effects on glucose 6-phosphatase, glucose cycling and insulin release. Diabetologia. 41(6). 634–639. 43 indexed citations
8.
Delaunay, Franck, Abdul Rehman Khan, A. Cintra, et al.. (1997). Pancreatic beta cells are important targets for the diabetogenic effects of glucocorticoids.. Journal of Clinical Investigation. 100(8). 2094–2098. 261 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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