Slavena A. Mandic

415 total citations
8 papers, 326 citations indexed

About

Slavena A. Mandic is a scholar working on Surgery, Cell Biology and Physiology. According to data from OpenAlex, Slavena A. Mandic has authored 8 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Slavena A. Mandic's work include Pancreatic function and diabetes (6 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (3 papers). Slavena A. Mandic is often cited by papers focused on Pancreatic function and diabetes (6 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (3 papers). Slavena A. Mandic collaborates with scholars based in Sweden, United States and France. Slavena A. Mandic's co-authors include Per‐Olof Berggren, Christina Bark, Jenny U. Johansson, Jesper Gromada, Juliette Janson, Björn Meister, Gabriel Fried, Davor Stanić, Simret Beraki and Martin A. Wikström and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Slavena A. Mandic

8 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Slavena A. Mandic Sweden 8 175 147 126 68 51 8 326
Chihiro Satake Japan 6 189 1.1× 240 1.6× 160 1.3× 104 1.5× 16 0.3× 10 425
Isabelle Millard Belgium 8 198 1.1× 80 0.5× 232 1.8× 167 2.5× 104 2.0× 9 477
Hans C. Zaun Canada 7 376 2.1× 66 0.4× 79 0.6× 12 0.2× 74 1.5× 7 454
S. Wei China 7 319 1.8× 175 1.2× 86 0.7× 44 0.6× 57 1.1× 14 440
Larry D. Spears United States 7 202 1.2× 123 0.8× 69 0.5× 57 0.8× 19 0.4× 11 330
Joanna Rowe United Kingdom 6 250 1.4× 199 1.4× 32 0.3× 53 0.8× 92 1.8× 8 353
Daphne Dubach Australia 7 192 1.1× 73 0.5× 20 0.2× 34 0.5× 49 1.0× 8 307
Vy Nguyen United States 12 107 0.6× 45 0.3× 148 1.2× 77 1.1× 30 0.6× 19 309
Ilse J. Anderson United States 7 164 0.9× 34 0.2× 22 0.2× 165 2.4× 43 0.8× 11 304
Damien Abreu United States 10 155 0.9× 176 1.2× 178 1.4× 171 2.5× 18 0.4× 13 352

Countries citing papers authored by Slavena A. Mandic

Since Specialization
Citations

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

Fields of papers citing papers by Slavena A. Mandic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Slavena A. Mandic. 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 Slavena A. Mandic. The network helps show where Slavena A. Mandic may publish in the future.

Co-authorship network of co-authors of Slavena A. Mandic

This figure shows the co-authorship network connecting the top 25 collaborators of Slavena A. Mandic. A scholar is included among the top collaborators of Slavena A. Mandic 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 Slavena A. Mandic. Slavena A. Mandic 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.
Ilegems, Erwin, Andrea Dicker, Tomas Alanentalo, et al.. (2015). Light scattering as an intrinsic indicator for pancreatic islet cell mass and secretion. Scientific Reports. 5(1). 10740–10740. 35 indexed citations
2.
Mandic, Slavena A., et al.. (2011). Munc18-1 and Munc18-2 Proteins Modulate β-Cell Ca2+ Sensitivity and Kinetics of Insulin Exocytosis Differently. Journal of Biological Chemistry. 286(32). 28026–28040. 26 indexed citations
3.
Fornoni, Alessia, Javier Varona Santos, Lorenzo Cobianchi, et al.. (2009). Nephrin Is Expressed on the Surface of Insulin Vesicles and Facilitates Glucose-Stimulated Insulin Release. Diabetes. 59(1). 190–199. 28 indexed citations
4.
Johansson, Jenny U., Jesper Ericsson, Juliette Janson, et al.. (2008). An Ancient Duplication of Exon 5 in the Snap25 Gene Is Required for Complex Neuronal Development/Function. PLoS Genetics. 4(11). e1000278–e1000278. 70 indexed citations
5.
Zhang, Wei, Slavena A. Mandic, Jesper Gromada, et al.. (2006). Tomosyn Is Expressed in β-Cells and Negatively Regulates Insulin Exocytosis. Diabetes. 55(3). 574–581. 48 indexed citations
6.
Gromada, Jesper, Christina Bark, Alexander M. Efanov, et al.. (2005). Neuronal calcium sensor-1 potentiates glucose-dependent exocytosis in pancreatic β cells through activation of phosphatidylinositol 4-kinase β. Proceedings of the National Academy of Sciences. 102(29). 10303–10308. 46 indexed citations
7.
Johansson, Jenny U., Jesper Gromada, Slavena A. Mandic, et al.. (2004). Cyclin-dependent Kinase 5 Associated with p39 Promotes Munc18-1 Phosphorylation and Ca2+-dependent Exocytosis. Journal of Biological Chemistry. 279(28). 29534–29541. 56 indexed citations
8.
Mandic, Slavena A., et al.. (2003). Transcription Regulation of the Multiple Endocrine Neoplasia Type 1 Gene in Human and Mouse. The Journal of Clinical Endocrinology & Metabolism. 88(8). 3845–3851. 17 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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