Ann‐Sofie Cans

2.3k total citations
47 papers, 1.9k citations indexed

About

Ann‐Sofie Cans is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Ann‐Sofie Cans has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 16 papers in Cell Biology. Recurrent topics in Ann‐Sofie Cans's work include Lipid Membrane Structure and Behavior (33 papers), Cellular transport and secretion (16 papers) and Electrochemical Analysis and Applications (12 papers). Ann‐Sofie Cans is often cited by papers focused on Lipid Membrane Structure and Behavior (33 papers), Cellular transport and secretion (16 papers) and Electrochemical Analysis and Applications (12 papers). Ann‐Sofie Cans collaborates with scholars based in Sweden, United States and United Kingdom. Ann‐Sofie Cans's co-authors include Andrew G. Ewing, Owe Orwar, Jacqueline D. Keighron, Roger Karlsson, Johan Dunevall, Christine D. Keating, Hoda Fathali, Mattias Karlsson, Neda Najafinobar and Jelena Lovrić and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ann‐Sofie Cans

45 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ann‐Sofie Cans Sweden	25	1.2k	483	478	408	368	47	1.9k
Zdzislaw Salamon United States	35	2.3k 2.0×	599 1.2×	597 1.2×	303 0.7×	788 2.1×	95	3.2k
Klaus Fendler Germany	34	2.5k 2.1×	488 1.0×	952 2.0×	276 0.7×	270 0.7×	114	3.5k
Manfred Sieber Germany	24	1.2k 1.1×	412 0.9×	308 0.6×	112 0.3×	309 0.8×	41	2.1k
Gintaras Valinčius Lithuania	26	1.5k 1.3×	543 1.1×	115 0.2×	269 0.7×	684 1.9×	86	2.4k
Igor Vodyanoy United States	22	1.4k 1.2×	661 1.4×	303 0.6×	738 1.8×	276 0.8×	36	2.6k
Johan Dunevall Sweden	22	929 0.8×	289 0.6×	458 1.0×	611 1.5×	411 1.1×	34	1.6k
Raphaël Trouillon Sweden	22	598 0.5×	575 1.2×	346 0.7×	475 1.2×	620 1.7×	53	1.8k
Fatemeh Khalili‐Araghi United States	18	1.1k 0.9×	410 0.8×	251 0.5×	118 0.3×	878 2.4×	29	2.6k
Gregory S. McCarty United States	27	456 0.4×	636 1.3×	592 1.2×	725 1.8×	1.3k 3.5×	53	2.3k
Karen L. Martinez Denmark	29	1.3k 1.1×	861 1.8×	435 0.9×	34 0.1×	379 1.0×	65	2.3k

Countries citing papers authored by Ann‐Sofie Cans

Since Specialization

Citations

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

Fields of papers citing papers by Ann‐Sofie Cans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann‐Sofie Cans. 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 Ann‐Sofie Cans. The network helps show where Ann‐Sofie Cans may publish in the future.

Co-authorship network of co-authors of Ann‐Sofie Cans

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gupta, Pankaj, et al.. (2025). Temperature and time-controlled etching of carbon fiber nanotip electrodes: Creating nanocavity- and nanodot-modified surfaces for enhanced neurotransmitter detection. Carbon. 243. 120612–120612.

Gupta, Pankaj, et al.. (2025). Electrochemical Droplet Sculpturing of Short Carbon Fiber Nanotip Electrodes for Neurotransmitter Detection. ACS electrochemistry.. 1(9). 1698–1709.

Pradhan, Ajay, et al.. (2024). Analyzing Fusion Pore Dynamics and Counting the Number of Acetylcholine Molecules Released by Exocytosis. Journal of the American Chemical Society. 146(38). 25902–25906. 4 indexed citations

Cans, Ann‐Sofie, et al.. (2022). Artificial Cells for Dissecting Exocytosis. Methods in molecular biology. 2565. 261–279. 2 indexed citations

Jesorka, Aldo, et al.. (2020). Generation of interconnected vesicles in a liposomal cell model. Scientific Reports. 10(1). 14040–14040. 6 indexed citations

Cans, Ann‐Sofie, et al.. (2018). Membrane Remodeling of Giant Vesicles in Response to Localized Calcium Ion Gradients. Journal of Visualized Experiments. 3 indexed citations

Fathali, Hoda, Johan Dunevall, Soodabeh Majdi, & Ann‐Sofie Cans. (2018). Monitoring the Effect of Osmotic Stress on Secretory Vesicles and Exocytosis. Journal of Visualized Experiments. 3 indexed citations

Cans, Ann‐Sofie, et al.. (2017). Counting the number of enzymes immobilized onto a nanoparticle-coated electrode. Analytical and Bioanalytical Chemistry. 410(6). 1775–1783. 9 indexed citations

Fathali, Hoda, Johan Dunevall, Soodabeh Majdi, Jelena Lovrić, & Ann‐Sofie Cans. (2017). Osmotic Stress Reduces Vesicle Size while Keeping a Constant Neurotransmitter Concentration. Biophysical Journal. 112(3). 159a–159a. 1 indexed citations

10.

Fathali, Hoda & Ann‐Sofie Cans. (2017). Amperometry methods for monitoring vesicular quantal size and regulation of exocytosis release. Pflügers Archiv - European Journal of Physiology. 470(1). 125–134. 18 indexed citations

11.

Cans, Ann‐Sofie, et al.. (2015). Millisecond Time Resolved Electrochemical Detection of Non-Electroactive Neurotransmitter Release. Biophysical Journal. 108(2). 481a–481a. 1 indexed citations

12.

Mellander, Lisa, Michael E. Kurczy, Neda Najafinobar, et al.. (2014). Two modes of exocytosis in an artificial cell. Scientific Reports. 4(1). 3847–3847. 29 indexed citations

13.

Kurczy, Michael E., Lisa Mellander, Neda Najafinobar, & Ann‐Sofie Cans. (2014). Composition Based Strategies for Controlling Radii in Lipid Nanotubes. PLoS ONE. 9(1). e81293–e81293. 8 indexed citations

14.

Omiatek, Donna M., et al.. (2013). The real catecholamine content of secretory vesicles in the CNS revealed by electrochemical cytometry. Scientific Reports. 3(1). 1447–1447. 74 indexed citations

15.

Kurczy, Michael E., et al.. (2012). A functioning artificial secretory cell. Scientific Reports. 2(1). 824–824. 18 indexed citations

16.

Keighron, Jacqueline D., Andrew G. Ewing, & Ann‐Sofie Cans. (2012). Analytical tools to monitor exocytosis: a focus on new fluorescent probes and methods. The Analyst. 137(8). 1755–1755. 31 indexed citations

17.

Karlsson, Roger, Michael E. Kurczy, Kelly L. Adams, et al.. (2011). Mechanics of lipid bilayer junctions affecting the size of a connecting lipid nanotube. Nanoscale Research Letters. 6(1). 421–421. 3 indexed citations

18.

Mellander, Lisa, Ann‐Sofie Cans, & Andrew G. Ewing. (2010). Electrochemical Probes for Detection and Analysis of Exocytosis and Vesicles. ChemPhysChem. 11(13). 2756–2763. 16 indexed citations

19.

Adams, Kelly L., Johan Engelbrektsson, Marina Voinova, et al.. (2009). Steady-State Electrochemical Determination of Lipidic Nanotube Diameter Utilizing an Artificial Cell Model. Analytical Chemistry. 82(3). 1020–1026. 14 indexed citations

20.

Karlsson, Anders, Roger Karlsson, Ann‐Sofie Cans, et al.. (2001). Networks of nanotubes and containers. Nature. 409(6817). 150–152. 214 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.

Explore authors with similar magnitude of impact