Matthias Seydack

24 total papers · 859 total citations
16 papers, 694 citations indexed

About

Matthias Seydack is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Matthias Seydack has authored 16 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Biomedical Engineering. Recurrent topics in Matthias Seydack's work include Advanced biosensing and bioanalysis techniques (6 papers), Advanced Biosensing Techniques and Applications (5 papers) and Biosensors and Analytical Detection (5 papers). Matthias Seydack is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Advanced Biosensing Techniques and Applications (5 papers) and Biosensors and Analytical Detection (5 papers). Matthias Seydack collaborates with scholars based in Hong Kong, Germany and Singapore. Matthias Seydack's co-authors include Reinhard Renneberg, Cangel Pui-yee Chan, Dieter Trau, Jürgen Bendig, Rolf Krauss, Ulrich Koert, Nai‐Teng Yu, Frank Caruso, Wenjun Yang and Elaine Merisko‐Liversidge and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Langmuir.

In The Last Decade

Matthias Seydack

16 papers receiving 684 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthias Seydack 381 277 259 120 103 16 694
Ngoc D. B. Le 338 0.9× 278 1.0× 196 0.8× 89 0.7× 44 0.4× 12 557
Zhenmin Hong 314 0.8× 176 0.6× 133 0.5× 93 0.8× 50 0.5× 18 775
Anna Aliberti 285 0.7× 209 0.8× 109 0.4× 94 0.8× 90 0.9× 32 647
J Holtz 250 0.7× 123 0.4× 142 0.5× 152 1.3× 64 0.6× 19 720
Baofen Ye 173 0.5× 299 1.1× 243 0.9× 47 0.4× 77 0.7× 23 749
Dóra Balogh 549 1.4× 207 0.7× 239 0.9× 66 0.6× 45 0.4× 21 786
Handan Akpinar 260 0.7× 186 0.7× 285 1.1× 120 1.0× 34 0.3× 11 646
Andrey Tronin 341 0.9× 127 0.5× 120 0.5× 58 0.5× 53 0.5× 30 595
Priyanka Dutta 163 0.4× 142 0.5× 256 1.0× 84 0.7× 54 0.5× 35 585
Menno R. de Jong 224 0.6× 152 0.5× 140 0.5× 102 0.8× 183 1.8× 18 693

Countries citing papers authored by Matthias Seydack

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Seydack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Seydack

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

All Works

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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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