V Stanojević

2.6k total citations · 1 hit paper
19 papers, 1.9k citations indexed

About

V Stanojević is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, V Stanojević has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Molecular Biology. Recurrent topics in V Stanojević's work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes and associated disorders (7 papers). V Stanojević is often cited by papers focused on Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes and associated disorders (7 papers). V Stanojević collaborates with scholars based in United States, Switzerland and Hong Kong. V Stanojević's co-authors include Joel F. Habener, Doris A. Stoffers, William L. Clarke, Eva Tomás, Melissa K. Thomas, Jean-Claude Chèvre, Philippe Froguel, El Habib Hani, Christian Dina and Jenna Wood and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

V Stanojević

19 papers receiving 1.9k citations

Hit Papers

Pancreatic agenesis attributable to a single nucleotide d... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V Stanojević United States 18 1.6k 1.0k 901 821 96 19 1.9k
Cristina Alarcón United States 20 986 0.6× 396 0.4× 549 0.6× 763 0.9× 161 1.7× 31 1.5k
Amanda M. Ackermann United States 11 676 0.4× 460 0.4× 386 0.4× 426 0.5× 33 0.3× 18 1.0k
Sheerazed Boulkroun France 27 932 0.6× 162 0.2× 1.1k 1.3× 1.0k 1.3× 99 1.0× 53 2.1k
Mara Suleiman Italy 17 826 0.5× 494 0.5× 479 0.5× 374 0.5× 147 1.5× 29 1.2k
Jeffrey C. Raum United States 12 727 0.5× 436 0.4× 251 0.3× 798 1.0× 123 1.3× 13 1.4k
Latif Rachdi France 20 517 0.3× 314 0.3× 254 0.3× 514 0.6× 80 0.8× 32 965
S Hügl Germany 13 600 0.4× 256 0.2× 323 0.4× 532 0.6× 89 0.9× 17 981
Ja Young Kim-Muller United States 12 750 0.5× 438 0.4× 377 0.4× 481 0.6× 111 1.2× 15 1.1k
Mayrin Correa-Medina United States 12 423 0.3× 211 0.2× 312 0.3× 418 0.5× 79 0.8× 14 1.0k
Burak Kutlu Belgium 12 627 0.4× 470 0.5× 221 0.2× 343 0.4× 53 0.6× 14 990

Countries citing papers authored by V Stanojević

Since Specialization
Citations

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

Fields of papers citing papers by V Stanojević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Stanojević

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

All Works

19 of 19 papers shown
1.
Stanojević, V & Joel F. Habener. (2015). Evolving function and potential of pancreatic alpha cells. Best Practice & Research Clinical Endocrinology & Metabolism. 29(6). 859–871. 30 indexed citations
2.
Tomás, Eva, et al.. (2015). GLP-1(32-36)amide Pentapeptide Increases Basal Energy Expenditure and Inhibits Weight Gain in Obese Mice. Diabetes. 64(7). 2409–2419. 46 indexed citations
3.
Arystarkhova, Elena, et al.. (2013). Hyperplasia of Pancreatic Beta Cells and Improved Glucose Tolerance in Mice Deficient in the FXYD2 Subunit of Na,K-ATPase. Journal of Biological Chemistry. 288(10). 7077–7085. 28 indexed citations
4.
Habener, Joel F. & V Stanojević. (2012). α-cell role in β-cell generation and regeneration. Islets. 4(3). 188–198. 62 indexed citations
5.
Habener, Joel F. & V Stanojević. (2012). Alpha cells come of age. Trends in Endocrinology and Metabolism. 24(3). 153–163. 47 indexed citations
6.
Stanojević, V, et al.. (2012). GLP1-derived nonapeptide GLP1(28–36)amide protects pancreatic β-cells from glucolipotoxicity. Journal of Endocrinology. 213(2). 143–154. 74 indexed citations
7.
Tomás, Eva, V Stanojević, & Joel F. Habener. (2011). GLP-1-derived nonapeptide GLP-1(28–36)amide targets to mitochondria and suppresses glucose production and oxidative stress in isolated mouse hepatocytes. Regulatory Peptides. 167(2-3). 177–184. 87 indexed citations
8.
Tomás, Eva, Jenna Wood, V Stanojević, & Joel F. Habener. (2011). GLP-1-derived nonapeptide GLP-1(28–36)amide inhibits weight gain and attenuates diabetes and hepatic steatosis in diet-induced obese mice. Regulatory Peptides. 169(1-3). 43–48. 40 indexed citations
10.
Tomás, Eva, V Stanojević, & J F Habener. (2010). GLP-1 (9–36) Amide Metabolite Suppression of Glucose Production in Isolated Mouse Hepatocytes. Hormone and Metabolic Research. 42(9). 657–662. 44 indexed citations
11.
Tomás, Eva, Jenna Wood, V Stanojević, & Joel F. Habener. (2010). Glucagon‐like peptide‐1(9‐36)amide metabolite inhibits weight gain and attenuates diabetes and hepatic steatosis in diet‐induced obese mice. Diabetes Obesity and Metabolism. 13(1). 26–33. 39 indexed citations
12.
Stanojević, V, Joel F. Habener, George G. Holz, & Colin A. Leech. (2008). Cytosolic adenylate kinases regulate K-ATP channel activity in human β-cells. Biochemical and Biophysical Research Communications. 368(3). 614–619. 24 indexed citations
13.
Leech, Colin A., Peter Lohse, V Stanojević, et al.. (2006). Identification of a novel inactivating R465Q mutation of the calcium-sensing receptor. Biochemical and Biophysical Research Communications. 342(3). 996–1002. 10 indexed citations
14.
Gragnoli, Claudia, et al.. (2005). IPF-1/MODY4 gene missense mutation in an Italian family with type 2 and gestational diabetes. Metabolism. 54(8). 983–988. 53 indexed citations
15.
Stanojević, V, Kwok‐Ming Yao, & Melissa K. Thomas. (2005). The coactivator Bridge-1 increases transcriptional activation by pancreas duodenum homeobox-1 (PDX-1). Molecular and Cellular Endocrinology. 237(1-2). 67–74. 24 indexed citations
16.
Stanojević, V, Joel F. Habener, & Melissa K. Thomas. (2004). Pancreas Duodenum Homeobox-1 Transcriptional Activation Requires Interactions with p300. Endocrinology. 145(6). 2918–2928. 54 indexed citations
17.
Hani, El Habib, Doris A. Stoffers, Jean-Claude Chèvre, et al.. (1999). Defective mutations in the insulin promoter factor-1 (IPF-1) gene in late-onset type 2 diabetes mellitus. Journal of Clinical Investigation. 104(9). R41–R48. 222 indexed citations
18.
Stoffers, Doris A., V Stanojević, & Joel F. Habener. (1998). Insulin promoter factor-1 gene mutation linked to early-onset type 2 diabetes mellitus directs expression of a dominant negative isoprotein.. Journal of Clinical Investigation. 102(1). 232–241. 143 indexed citations
19.
Stoffers, Doris A., et al.. (1997). Pancreatic agenesis attributable to a single nucleotide deletion in the human IPF1 gene coding sequence. Nature Genetics. 15(1). 106–110. 799 indexed citations breakdown →

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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