Peter Wied

976 total citations · 1 hit paper
8 papers, 800 citations indexed

About

Peter Wied is a scholar working on Inorganic Chemistry, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Wied has authored 8 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Inorganic Chemistry, 5 papers in Materials Chemistry and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Wied's work include Metal-Organic Frameworks: Synthesis and Applications (4 papers), Advanced Nanomaterials in Catalysis (4 papers) and Electrochemical sensors and biosensors (3 papers). Peter Wied is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (4 papers), Advanced Nanomaterials in Catalysis (4 papers) and Electrochemical sensors and biosensors (3 papers). Peter Wied collaborates with scholars based in Austria, Australia and Germany. Peter Wied's co-authors include Paolo Falcaro, Bernd Nidetzky, Christian J. Doonan, Francesco Carraro, Weibin Liang, Chia‐Kuang Tsung, Christopher J. Sumby, Juan M. Bolívar, Heinz Amenitsch and Raffaele Riccò and has published in prestigious journals such as Chemical Reviews, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Peter Wied

8 papers receiving 788 citations

Hit Papers

Metal–Organic Framework-Based Enzyme Biocomposites 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Wied Austria 7 440 362 287 187 171 8 800
Yujian Shen China 11 477 1.1× 309 0.9× 313 1.1× 191 1.0× 252 1.5× 18 781
Natasha K. Maddigan Australia 7 481 1.1× 512 1.4× 343 1.2× 187 1.0× 210 1.2× 8 919
Amani Zoabi Israel 7 545 1.2× 234 0.6× 402 1.4× 223 1.2× 249 1.5× 12 939
Hongde An China 10 706 1.6× 599 1.7× 228 0.8× 158 0.8× 172 1.0× 21 998
Feifei Xing China 21 460 1.0× 248 0.7× 274 1.0× 123 0.7× 315 1.8× 61 1.2k
Jiayi Song China 21 465 1.1× 168 0.5× 514 1.8× 214 1.1× 349 2.0× 53 959
Sheta M. Sheta Egypt 18 426 1.0× 418 1.2× 296 1.0× 200 1.1× 166 1.0× 40 886
Hassan Traboulsi Saudi Arabia 16 499 1.1× 182 0.5× 131 0.5× 179 1.0× 107 0.6× 28 882
Linjing Tong China 18 845 1.9× 569 1.6× 467 1.6× 283 1.5× 354 2.1× 28 1.3k
Damayanti Bagchi India 19 334 0.8× 156 0.4× 123 0.4× 274 1.5× 74 0.4× 30 764

Countries citing papers authored by Peter Wied

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wied

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Wied

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

All Works

8 of 8 papers shown
1.
Blažević, Zvjezdana Findrik, Katrin Rosenthal, John M. Woodley, et al.. (2024). The STRENDA Biocatalysis Guidelines for cataloguing metadata. Nature Catalysis. 7(12). 1245–1249. 6 indexed citations
2.
Gan, Lei, Miriam De J. Velásquez-Hernández, Anita Emmerstorfer‐Augustin, et al.. (2022). Multi-layered ZIF-coated cells for the release of bioactive molecules in hostile environments. Chemical Communications. 58(72). 10004–10007. 17 indexed citations
3.
Wied, Peter, Francesco Carraro, Juan M. Bolívar, et al.. (2022). Combining a Genetically Engineered Oxidase with Hydrogen‐Bonded Organic Frameworks (HOFs) for Highly Efficient Biocomposites. Angewandte Chemie International Edition. 61(16). e202117345–e202117345. 80 indexed citations
4.
Wied, Peter, Francesco Carraro, Juan M. Bolívar, et al.. (2022). Kombination einer genetisch engineerten Oxidase mit wasserstoffbrückengebundenen organischen Gerüsten (HOFs) für hocheffiziente Biokomposite. Angewandte Chemie. 134(16). 5 indexed citations
5.
Liang, Weibin, Peter Wied, Francesco Carraro, et al.. (2021). Metal–Organic Framework-Based Enzyme Biocomposites. Chemical Reviews. 121(3). 1077–1129. 590 indexed citations breakdown →
6.
Riccò, Raffaele, Peter Wied, Bernd Nidetzky, Heinz Amenitsch, & Paolo Falcaro. (2020). Magnetically responsive horseradish peroxidase@ZIF-8 for biocatalysis. Chemical Communications. 56(43). 5775–5778. 55 indexed citations
7.
Özgen, Fatma Feyza, Bastien O. Burek, Peter Wied, et al.. (2019). Artificial Light‐Harvesting Complexes Enable Rieske Oxygenase Catalyzed Hydroxylations in Non‐Photosynthetic cells. Angewandte Chemie International Edition. 59(10). 3982–3987. 41 indexed citations
8.
Özgen, Fatma Feyza, Bastien O. Burek, Peter Wied, et al.. (2019). Artifizielle Lichtsammelkomplexe ermöglichen Rieske‐Oxygenase‐ katalysierte Hydroxylierungen in nicht‐photosynthetischen Zellen. Angewandte Chemie. 132(10). 4010–4016. 6 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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