Daniel Erne

723 citations
25 papers · 653 · h-index 14

Impact in

Papers in

    • Analytical Chemistry and Sensors 12
    • Lipid Membrane Structure and Behavior 6
    • Receptor Mechanisms and Signaling 4
    • Chemical Synthesis and Analysis 3

Daniel Erne

25 papers receiving 561 citations

Peers

Daniel Erne
Comparison fields: 5 of 72
  • Bioengineering 272
  • Electrochemistry 173
  • Cellular and Molecular Neuroscience 167
  • Spectroscopy 93
  • Molecular Biology 302
Replace Eskil Sahlin with:
Eskil Sahlin Sweden
M. Güggi Switzerland
Ross A. Wallingford United States
Michael G. Garguilo United States
Neda Najafinobar Sweden
Miklós Gratzl United States
Martin Kurnik United States
A.W Flounders United States
Tatsuya Kitade Japan
J Wang United States
Daniel Erne relative to Eskil Sahlin Sweden Eskil Sahlin's profile →
Citations per field
00.5×3.9×
Eskil Sahlin · 1×
Citations per year

Countries citing papers authored by Daniel Erne

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Erne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Daniel Erne, 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 Daniel Erne Line = papers co-authored together Daniel Erne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198074
2 198765
3 198560
4 198657
5 198157
6 198647
7 197943
8 198041
9 198640
10 198233
11 199223
12 198222
13 201817
14 198016
15 198013
16 198813
17 20188
18 19816
19 19924
20 19884

About Daniel Erne

Daniel Erne is a scholar working on Bioengineering, Molecular Biology, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Electrochemistry, having authored 25 papers that have together received 653 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (8 papers), Electrochemical Analysis and Applications (7 papers), Neuropeptides and Animal Physiology (7 papers), Lipid Membrane Structure and Behavior (6 papers), Receptor Mechanisms and Signaling (4 papers), Molecular Sensors and Ion Detection (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Bioengineering (272 citations), Electrochemistry (173 citations), Cellular and Molecular Neuroscience (167 citations), Spectroscopy (93 citations) and Molecular Biology (302 citations). Daniel Erne has collaborated with scholars based in Switzerland, Canada and Russia. Frequent co-authors include R. Schwyzer, Daniel Ammann, W. Simon, Krzysztof Rolka, Ernö Pretsch, David F. Sargent, M. Güggi, Zvjezdana Cimerman, Shunsaku Kimura and Magdalena Maj‐Żurawska. Their work appears in journals such as Helvetica Chimica Acta, Peptides, CHIMIA International Journal for Chemistry, Biochemistry and Analytical Chemistry.

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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