David Schwarzer

856 citations
15 papers · 640 · h-index 12

Impact in

Papers in

    • Bacteriophages and microbial interactions 7
    • Glycosylation and Glycoproteins Research 7
    • Genomics and Phylogenetic Studies 2
    • Protein Structure and Dynamics 2
    • RNA and protein synthesis mechanisms 2

David Schwarzer

15 papers receiving 632 citations

Peers

David Schwarzer
Comparison fields: 5 of 69
  • Ecology 389
  • Endocrinology 54
  • Microbiology 63
  • Molecular Biology 393
  • Molecular Medicine 24
Replace Altaira D. Dearborn with:
Altaira D. Dearborn United States
Reinhard Breitling Germany
Kathleen Wilke Germany
Xiaorong Wu China
Lia Cardarelli Canada
Anshul Bhardwaj United States
Natalia Evgenevna Morozova Russia
Birte Hernandez Alvarez Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Schwarzer

Since Specialization
Citations

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

Fields of papers citing papers by David Schwarzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012102
2 200696
3 201281
4 200671
5 201062
6 201043
7 201438
8 200828
9 200927
10 201227
11 201424
12 201022
13 201711
14 20135
15 20233

About David Schwarzer

David Schwarzer is a scholar working on Ecology, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Medicine, having authored 15 papers that have together received 640 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Bacteriophages and microbial interactions (7 papers), Bacterial Genetics and Biotechnology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomics and Phylogenetic Studies (2 papers), Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Ecology (389 citations), Endocrinology (54 citations), Microbiology (63 citations), Molecular Biology (393 citations) and Molecular Medicine (24 citations). David Schwarzer has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Rita Gerardy‐Schahn, Martina Mühlenhoff, Katharina Stummeyer, P.G. Leiman, Christopher R. Browning, Valorie D. Bowman, Heike Claus, Mikhail M. Shneider, Ulrich Felix Vogel and Achim Dickmanns. Their work appears in journals such as Journal of Biological Chemistry, Nature Structural & Molecular Biology, Structure, Journal of Molecular Biology and Hepatology.

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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