Max Sonnleitner

1.1k citations
28 papers · 822 indexed · h-index 14

Max Sonnleitner

27 papers receiving 801 citations

Peers

Max Sonnleitner
Comparison fields: 5 of 88
  • Biophysics 159
  • Structural Biology 15
  • Molecular Biology 586
  • Bioengineering 33
  • Biomedical Engineering 172
Replace Juha‐Matti Alakoskela with:
Juha‐Matti Alakoskela Finland
Esther Braselmann United States
Yuanqing Ma Australia
Zeinab Darwich France
Chittanon Buranachai Thailand
Olesya V. Stepanenko Russia
Per‐Åke Löfdahl Sweden
Anders Barth Germany
Ewa Heyduk United States
Jonas M. Dörr Netherlands
Max Sonnleitner relative to Juha‐Matti Alakoskela Finland Juha‐Matti Alakoskela's profile →
Citations per field
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Juha‐Matti Alakoskela · 1×
Citations per year

Countries citing papers authored by Max Sonnleitner

Since Specialization
Citations

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

Fields of papers citing papers by Max Sonnleitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Max Sonnleitner, 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 Max Sonnleitner Line = papers co-authored together Max Sonnleitner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20221
3 20201
4 200960
5 200814
6 2006112
7 200654
8 200622
9 200517
10 2005181
11 200413
12 20046
13 200430
14 200448
15 200213
16 200023
17 200055
18 20005
19 199923
20 1999112

About Max Sonnleitner

Max Sonnleitner is a scholar working on Biophysics, Structural Biology, Molecular Biology, Endocrinology and Computer Science Applications, having authored 28 papers that have together received 822 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (10 papers), Advanced Biosensing Techniques and Applications (8 papers), Lipid Membrane Structure and Behavior (6 papers), Force Microscopy Techniques and Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Biosensors and Analytical Detection (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (159 citations), Structural Biology (15 citations), Molecular Biology (586 citations), Bioengineering (33 citations) and Biomedical Engineering (172 citations). Max Sonnleitner has collaborated with scholars based in Austria, Italy and Hungary. Frequent co-authors include Gerhard J. Schütz, Alois Sonnleitner, Thomas Schmidt, Stefano Piotto, Bruno Maresca, László Vı́gh, John L. Harwood, Pablo V. Escribá, Ibolya Horváth and Aaron Bensimon. Their work appears in journals such as FEBS Letters, Analytical Chemistry, Analytical and Bioanalytical Chemistry, Molecular Membrane Biology and Progress in Lipid Research.

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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