Marc Ostermeier

4.8k citations
95 papers · 3.6k · h-index 31

Impact in

    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • Protein Structure and Dynamics

Papers in

    • CRISPR and Genetic Engineering 27
    • RNA and protein synthesis mechanisms 16
    • Biochemical and Molecular Research 10
    • Epigenetics and DNA Methylation 8
    • Bacterial Genetics and Biotechnology 17
    • Evolution and Genetic Dynamics 8

Marc Ostermeier

95 papers receiving 3.5k citations

Peers

Marc Ostermeier
Comparison fields: 5 of 121
  • Molecular Biology 2.8k
  • Biotechnology 341
  • Genetics 712
  • Molecular Medicine 83
  • Radiology, Nuclear Medicine and Imaging 339
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Citations per field
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Citations per year

Countries citing papers authored by Marc Ostermeier

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ostermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007238
2 2014228
3 1999181
4 2005177
5 2005119
6 2003117
7 2009115
8 1999112
9 2001105
10 201098
11 201297
12 200597
13 200484
14 199876
15 199675
16 201772
17 201669
18 201564
19 200963
20 199460

About Marc Ostermeier

Marc Ostermeier is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Biotechnology and Materials Chemistry, having authored 95 papers that have together received 3.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (27 papers), Bacterial Genetics and Biotechnology (17 papers), RNA and protein synthesis mechanisms (16 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Biochemical and Molecular Research (10 papers), Evolution and Genetic Dynamics (8 papers), Epigenetics and DNA Methylation (8 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Biotechnology (341 citations), Genetics (712 citations), Molecular Medicine (83 citations) and Radiology, Nuclear Medicine and Imaging (339 citations). Marc Ostermeier has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Gurkan Guntas, Stephen J. Benkovic, Elad Firnberg, Jae Hoon Shim, Christian Limberg, Andrew E. Nixon, Jeffrey J. Gray, Jin Ryoun Kim, R.M. Meudtner and Stefan Hecht. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Biotechnology and Bioengineering, Journal of Molecular Biology and Protein Engineering Design and Selection.

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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