Sebastian Barg

7.4k total citations
75 papers, 5.3k citations indexed

About

Sebastian Barg is a scholar working on Surgery, Molecular Biology and Cell Biology. According to data from OpenAlex, Sebastian Barg has authored 75 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 42 papers in Molecular Biology and 32 papers in Cell Biology. Recurrent topics in Sebastian Barg's work include Pancreatic function and diabetes (47 papers), Cellular transport and secretion (31 papers) and Lipid Membrane Structure and Behavior (16 papers). Sebastian Barg is often cited by papers focused on Pancreatic function and diabetes (47 papers), Cellular transport and secretion (31 papers) and Lipid Membrane Structure and Behavior (16 papers). Sebastian Barg collaborates with scholars based in Sweden, United States and United Kingdom. Sebastian Barg's co-authors include Patrik Rorsman, Erik Renström, Sven Göpel, Lena Eliasson, Juris Galvanovskis, Jesper Gromada, Nikhil R. Gandasi, Takahiro Kanno, Sidney Fleischer and Julio A. Copello and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sebastian Barg

69 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Barg Sweden 40 3.1k 3.0k 1.3k 1.2k 880 75 5.3k
Leslie S. Satin United States 51 3.9k 1.2× 3.6k 1.2× 750 0.6× 1.5k 1.3× 1.2k 1.3× 138 7.1k
Shinya Nagamatsu Japan 43 2.9k 1.0× 2.4k 0.8× 1.5k 1.1× 1.0k 0.9× 892 1.0× 120 5.6k
Stanley Misler United States 31 2.2k 0.7× 1.6k 0.6× 617 0.5× 552 0.5× 631 0.7× 56 3.4k
Mica Ohara‐Imaizumi Japan 32 2.0k 0.6× 1.5k 0.5× 1.3k 1.0× 488 0.4× 491 0.6× 78 3.5k
Erik Gylfe Sweden 48 3.5k 1.1× 4.8k 1.6× 512 0.4× 2.3k 1.9× 1.5k 1.7× 202 6.8k
Oleg G. Chepurny United States 32 2.2k 0.7× 1.4k 0.5× 293 0.2× 1.1k 1.0× 359 0.4× 66 3.4k
Anders Tengholm Sweden 36 2.0k 0.6× 2.1k 0.7× 424 0.3× 1.0k 0.9× 564 0.6× 87 3.5k
Kathleen J. Sweadner United States 41 4.9k 1.6× 702 0.2× 536 0.4× 434 0.4× 269 0.3× 90 6.1k
I. Atwater United States 33 1.9k 0.6× 2.1k 0.7× 157 0.1× 749 0.6× 533 0.6× 99 3.3k
Gary B. Willars United Kingdom 37 2.1k 0.7× 402 0.1× 558 0.4× 438 0.4× 349 0.4× 96 3.6k

Countries citing papers authored by Sebastian Barg

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Barg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Barg

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Barg. A scholar is included among the top collaborators of Sebastian Barg 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 Sebastian Barg. Sebastian Barg 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.
Saras, Jan, et al.. (2025). Dynamic recruitment of Munc13 primes docked secretory granules for exocytosis. Cell Reports. 44(10). 116301–116301.
2.
Omar‐Hmeadi, Muhmmad, et al.. (2023). Local PI(4,5)P2 signaling inhibits fusion pore expansion during exocytosis. Cell Reports. 42(2). 112036–112036. 12 indexed citations
3.
Sánchez, Gonzalo, P.W. O’Callaghan, Oleg Dyachok, et al.. (2022). The β-cell primary cilium is an autonomous Ca2+ compartment for paracrine GABA signaling. The Journal of Cell Biology. 222(1). 21 indexed citations
4.
Omar‐Hmeadi, Muhmmad, Per-Eric Lund, Nikhil R. Gandasi, Anders Tengholm, & Sebastian Barg. (2020). Paracrine control of α-cell glucagon exocytosis is compromised in human type-2 diabetes. Nature Communications. 11(1). 1896–1896. 69 indexed citations
5.
Gandasi, Nikhil R., Muhmmad Omar‐Hmeadi, Marit Bakke, et al.. (2019). Fusion Pore Regulation by EPAC2/cAMP Controls Cargo Release during Insulin Exocytosis. Biophysical Journal. 116(3). 314a–314a.
6.
Yin, Peng, et al.. (2018). Syntaxin clusters at secretory granules in a munc18-bound conformation. Molecular Biology of the Cell. 29(22). 2700–2708. 9 indexed citations
7.
Gandasi, Nikhil R., et al.. (2018). Glucose-Dependent Granule Docking Limits Insulin Secretion and Is Decreased in Human Type 2 Diabetes. Cell Metabolism. 27(2). 470–478.e4. 78 indexed citations
8.
Schuh, Günther, et al.. (2017). Handlungsfelder zur erfolgreichen Umsetzung von Industrie 4.0 in der F & E. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 112(1-2). 86–90.
9.
Gandasi, Nikhil R., Peng Yin, Margarita V. Chibalina, et al.. (2017). Ca2+ channel clustering with insulin-containing granules is disturbed in type 2 diabetes. Journal of Clinical Investigation. 127(6). 2353–2364. 64 indexed citations
10.
Marshall, Misty, Per-Eric Lund, & Sebastian Barg. (2017). Molecular Mechanisms of V-SNARE Function in Secretory Granule Exocytosis. Biophysical Journal. 112(3). 395a–395a.
11.
Xie, Beichen, et al.. (2016). Plasma Membrane Phosphatidylinositol 4,5-Bisphosphate Regulates Ca2+-Influx and Insulin Secretion from Pancreatic β Cells. Cell chemical biology. 23(7). 816–826. 22 indexed citations
12.
Gandasi, Nikhil R., et al.. (2015). Survey of Red Fluorescence Proteins as Markers for Secretory Granule Exocytosis. PLoS ONE. 10(6). e0127801–e0127801. 36 indexed citations
13.
Krus, Ulrika, Ben C. King, Vini Nagaraj, et al.. (2014). The Complement Inhibitor CD59 Regulates Insulin Secretion by Modulating Exocytotic Events. Cell Metabolism. 19(5). 883–890. 56 indexed citations
14.
Iglesias, José, Sebastian Barg, David Vallois, et al.. (2012). PPARβ/δ affects pancreatic β cell mass and insulin secretion in mice. Journal of Clinical Investigation. 122(11). 4105–4117. 45 indexed citations
15.
Barg, Sebastian & José David Machado. (2007). Compensatory endocytosis in chromaffin cells. Acta Physiologica. 192(2). 195–201. 19 indexed citations
16.
Kanno, Takahiro, Sebastian Barg, Lena Eliasson, et al.. (2004). Large dense-core vesicle exocytosis in pancreatic β-cells monitored by capacitance measurements. Methods. 33(4). 302–311. 40 indexed citations
17.
Ridderstråle, Martin, et al.. (2002). Characterization of a naturally occurring mutation (L107I) in the HNF1 α (MODY3) gene. Diabetologia. 45(12). 1703–1708. 11 indexed citations
18.
Høy, Marianne, Hervør L. Olsen, Krister Bokvist, et al.. (2000). Tolbutamide stimulates exocytosis of glucagon by inhibition of a mitochondrial‐like ATP‐sensitive K+ (KATP) conductance in rat pancreatic A‐cells. The Journal of Physiology. 527(1). 109–120. 29 indexed citations
19.
Barg, Sebastian, et al.. (1983). Carcinoma of the anus: clinical aspects.. PubMed. 6. 337–52. 1 indexed citations
20.
Barg, Sebastian, et al.. (1957). Oesophage court et cancer.. 74(3).

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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