Matthias Arzt

521 total citations · 1 hit paper
7 papers, 311 citations indexed

About

Matthias Arzt is a scholar working on Molecular Biology, Organic Chemistry and Polymers and Plastics. According to data from OpenAlex, Matthias Arzt has authored 7 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Organic Chemistry and 2 papers in Polymers and Plastics. Recurrent topics in Matthias Arzt's work include Click Chemistry and Applications (4 papers), Chemical Synthesis and Analysis (3 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Matthias Arzt is often cited by papers focused on Click Chemistry and Applications (4 papers), Chemical Synthesis and Analysis (3 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Matthias Arzt collaborates with scholars based in Germany, France and United Kingdom. Matthias Arzt's co-authors include Tanja Weil, David Y. W. Ng, Tobias Pietzsch, J.R. Deschamps, Florian Jug, Pavel Tomančák, Deborah Schmidt, Robert Haase, Christopher Schmied and Seah Ling Kuan and has published in prestigious journals such as Angewandte Chemie International Edition, Chemistry - A European Journal and Chemistry - An Asian Journal.

In The Last Decade

Matthias Arzt

7 papers receiving 310 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LABKIT: Labeling and Segmentation Toolkit for Big Image Data

2022 156 citations Matthias Arzt, J.R. Deschamps et al. Frontiers in Computer Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias Arzt Germany	6	149	66	45	35	32	7	311
Mufeng Hu United States	8	169 1.1×	17 0.3×	19 0.4×	85 2.4×	100 3.1×	8	347
Ardjan J. van der Linden Netherlands	9	354 2.4×	22 0.3×	55 1.2×	147 4.2×	42 1.3×	10	515
Kok Haur Ong Singapore	9	77 0.5×	9 0.1×	23 0.5×	47 1.3×	49 1.5×	13	321
Xueming Li China	13	189 1.3×	30 0.5×	31 0.7×	113 3.2×	18 0.6×	20	376
Stijn J. A. Aper Netherlands	9	200 1.3×	15 0.2×	15 0.3×	91 2.6×	43 1.3×	11	331
Nina Kristine Reitan Norway	10	270 1.8×	8 0.1×	115 2.6×	101 2.9×	17 0.5×	18	493
Ferenc Fördős Sweden	6	439 2.9×	12 0.2×	26 0.6×	110 3.1×	35 1.1×	6	489
Shude Chen China	11	125 0.8×	10 0.2×	25 0.6×	105 3.0×	23 0.7×	24	379
Hanson Lee United States	7	256 1.7×	14 0.2×	14 0.3×	49 1.4×	18 0.6×	7	336
Tiantian Li China	8	114 0.8×	9 0.1×	50 1.1×	110 3.1×	55 1.7×	17	299

Countries citing papers authored by Matthias Arzt

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Arzt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Arzt

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Arzt. A scholar is included among the top collaborators of Matthias Arzt 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 Arzt. Matthias Arzt 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:

7 of 7 papers shown

1.

Arzt, Matthias, J.R. Deschamps, Christopher Schmied, et al.. (2022). LABKIT: Labeling and Segmentation Toolkit for Big Image Data. Frontiers in Computer Science. 4. 156 indexed citations breakdown →

2.

Arganda‐Carreras, Ignacio, Curtis Rueden, Johannes Schindelin, et al.. (2018). fiji/Trainable_Segmentation: Trainable_Segmentation-3.2.27. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

3.

Wang, Tao, Yuzhou Wu, Seah Ling Kuan, et al.. (2014). A Disulfide Intercalator Toolbox for the Site‐Directed Modification of Polypeptides. Chemistry - A European Journal. 21(1). 228–238. 33 indexed citations

4.

Arzt, Matthias, et al.. (2014). Reversible Click Reactions with Boronic Acids to Build Supramolecular Architectures in Water. Chemistry - An Asian Journal. 9(8). 1994–2003. 38 indexed citations

5.

Arzt, Matthias, et al.. (2014). Towards utilizing repeating structures for constant time compilation of large Modelica models. 35–38. 5 indexed citations

6.

Ng, David Y. W., Matthias Arzt, Yuzhou Wu, et al.. (2013). Constructing Hybrid Protein Zymogens through Protective Dendritic Assembly. Angewandte Chemie International Edition. 53(1). 324–328. 70 indexed citations

7.

Ng, David Y. W., Matthias Arzt, Yuzhou Wu, et al.. (2013). Hybrid‐Protein‐Zymogene durch Selbstorganisation dendritischer Schutzgruppen. Angewandte Chemie. 126(1). 331–335. 8 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.

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