Markus Neureiter

1.2k citations
29 papers · 869 · h-index 18

Impact in

Papers in

Markus Neureiter

29 papers receiving 830 citations

Peers

Markus Neureiter
Comparison fields: 5 of 79
  • Biomaterials 278
  • Process Chemistry and Technology 36
  • Pollution 138
  • Biotechnology 90
  • Biomedical Engineering 427
Replace José Pablo López‐Gómez with:
José Pablo López‐Gómez Germany
Yolanda González‐García Mexico
Jaciane Lutz Ienczak Brazil
Johannes Bader Germany
Woo Gi Lee South Korea
Maria R. Kosseva United Kingdom
Soo‐Yeon Yang South Korea
Nor’Aini Abdul Rahman Malaysia
Balakrishnan Kunasundari Malaysia
Chrysanthi Pateraki Greece
Markus Neureiter relative to José Pablo López‐Gómez Germany José Pablo López‐Gómez's profile →
Citations per field
00.5×10×20×30×39×
José Pablo López‐Gómez · 1×
Citations per year

Countries citing papers authored by Markus Neureiter

Since Specialization
Citations

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

Fields of papers citing papers by Markus Neureiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002139
2 2009104
3 201555
4 201854
5 200352
6 201749
7 201647
8 201937
9 202231
10 201531
11 201526
12 202225
13 202123
14 202223
15 200222
16 200322
17 202218
18 202017
19 199816
20 202116

About Markus Neureiter

Markus Neureiter is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Pollution and Process Chemistry and Technology, having authored 29 papers that have together received 869 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (17 papers), biodegradable polymer synthesis and properties (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Enzyme Catalysis and Immobilization (10 papers), Microplastics and Plastic Pollution (5 papers), Enzyme Production and Characterization (3 papers), Carbon dioxide utilization in catalysis (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Biomaterials (278 citations), Process Chemistry and Technology (36 citations), Pollution (138 citations), Biotechnology (90 citations) and Biomedical Engineering (427 citations). Markus Neureiter has collaborated with scholars based in Austria, China and Czechia. Frequent co-authors include Rudolf Braun, H Danner, Cornelia Haas, W. Fuchs, Franz Stelzer, Ivana Márová, Stanislav Obruča, Bernhard Drosg, Hisashi Miyafuji and Markus Omann. Their work appears in journals such as New Biotechnology, Applied Biochemistry and Biotechnology, Bioresource Technology, Process Biochemistry and Applied Microbiology and Biotechnology.

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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