Peter Neubauer

13.3k citations
396 papers · 9.1k · h-index 49

Impact in

    • Viral Infectious Diseases and Gene Expression in Insects
    • Microbial Metabolic Engineering and Bioproduction
    • Protein purification and stability
    • Biochemical and Molecular Research
  • Biotechnology top 0.5%

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 104
    • Microbial Metabolic Engineering and Bioproduction 78
    • Protein purification and stability 39
    • Biochemical and Molecular Research 34
    • 3D Printing in Biomedical Research 27
    • Biofuel production and bioconversion 25

Peter Neubauer

375 papers receiving 8.7k citations

Peers

Peter Neubauer
Comparison fields: 5 of 199
  • Molecular Biology 5.7k
  • Biotechnology 647
  • Microbiology 299
  • Biomedical Engineering 1.8k
  • Ecology 901
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Citations per field
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Citations per year

Countries citing papers authored by Peter Neubauer

Since Specialization
Citations

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

Fields of papers citing papers by Peter Neubauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 396 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 2004179
3 2010149
4 2010136
5 2002135
6 2008128
7 2020124
8 2005121
9 2019118
10 1995107
11 2014106
12 2008106
13 2008104
14 2010103
15 2003101
16 201799
17 201097
18 200095
19 201695
20 199288

About Peter Neubauer

Peter Neubauer is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Ecology and Biotechnology, having authored 396 papers that have together received 9.1k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (104 papers), Microbial Metabolic Engineering and Bioproduction (78 papers), Protein purification and stability (39 papers), Biochemical and Molecular Research (34 papers), Bacterial Genetics and Biotechnology (33 papers), 3D Printing in Biomedical Research (27 papers), Biofuel production and bioconversion (25 papers) and Bacteriophages and microbial interactions (21 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Biotechnology (647 citations), Microbiology (299 citations), Biomedical Engineering (1.8k citations) and Ecology (901 citations). Peter Neubauer has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Stefan Junne, Antti Vasala, Felix Kaspar, Mariano Nicolás Cruz Bournazou, Matthias Gimpel, Joana Azeredo, Sanna Sillankorva, Sven‐Olof Enfors, Kaisa Ukkonen and Beatrix Fahnert. Their work appears in journals such as Microbial Cell Factories, Journal of Biotechnology, Biotechnology and Bioengineering, The Psychoanalytic Study of the Child and Chemie Ingenieur Technik.

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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