Ann-Sofie U. Cans

2.4k citations
49 papers · 2.0k · h-index 25

Impact in

Papers in

Ann-Sofie U. Cans

49 papers receiving 1.9k citations

Peers

Ann-Sofie U. Cans
Comparison fields: 5 of 96
  • Electrochemistry 426
  • Bioengineering 177
  • Cellular and Molecular Neuroscience 495
  • Cell Biology 361
  • Molecular Biology 1.2k
Replace Zdzislaw Salamon with:
Zdzislaw Salamon United States
Manfred Sieber Germany
Gintaras Valinčius Lithuania
Klaus Fendler Germany
Gregory S. McCarty United States
Keiichi Torimitsu Japan
Fatemeh Khalili‐Araghi United States
Raphaël Trouillon Sweden
Peter Nollert United States
Greger Orädd Sweden
Ann-Sofie U. Cans relative to Zdzislaw Salamon United States Zdzislaw Salamon's profile →
Citations per field
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Zdzislaw Salamon · 1×
Citations per year

Countries citing papers authored by Ann-Sofie U. Cans

Since Specialization
Citations

This map shows the geographic impact of Ann-Sofie U. 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 U. 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 U. Cans more than expected).

Fields of papers citing papers by Ann-Sofie U. Cans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ann-Sofie U. Cans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ann-Sofie U. Cans Line = papers co-authored together Ann-Sofie U. Cans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001232
2 2015183
3 2004118
4 2003112
5 2007112
6 2002110
7 201689
8 201385
9 201275
10 200174
11 200270
12 200170
13 201969
14 200856
15 201548
16 201644
17 201944
18 201640
19 201636
20 201232

About Ann-Sofie U. Cans

Ann-Sofie U. Cans is a scholar working on Electrochemistry, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (33 papers), Cellular transport and secretion (17 papers), Electrochemical Analysis and Applications (13 papers), Electrochemical sensors and biosensors (11 papers), Photoreceptor and optogenetics research (11 papers), Neuroscience and Neural Engineering (10 papers), Force Microscopy Techniques and Applications (7 papers) and Nanopore and Nanochannel Transport Studies (5 papers). The work is most often cited by research in Electrochemistry (426 citations), Bioengineering (177 citations), Cellular and Molecular Neuroscience (495 citations), Cell Biology (361 citations) and Molecular Biology (1.2k citations). Ann-Sofie U. Cans has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Andrew G. Ewing, Owe Orwar, Jacqueline D. Keighron, Roger Karlsson, Johan Dunevall, Christine D. Keating, Hoda Mashadi Fathali, Mattias Karlsson, Neda Najafinobar and Jelena Lovrić. Their work appears in journals such as Journal of the American Chemical Society, Analytical Chemistry, Scientific Reports, Langmuir and Journal of Visualized Experiments.

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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