David Gerlach

564 citations
13 papers · 396 · h-index 9

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Biochemical and Structural Characterization 3
    • RNA and protein synthesis mechanisms 3
    • Genomics and Phylogenetic Studies 2
    • Bacteriophages and microbial interactions 6

David Gerlach

12 papers receiving 388 citations

Peers

David Gerlach
Comparison fields: 5 of 51
  • Microbiology 97
  • Infectious Diseases 155
  • Ecology 158
  • Endocrinology 18
  • Molecular Medicine 15
Replace Piotr Szkuta with:
Piotr Szkuta United Kingdom
Glenn Soltes Canada
Bharathi Sriram India
Shilpa Elizabeth George Germany
Dolores Gutiérrez Spain
Bartłomiej Salamaga United Kingdom
Longxiang Xie China
Sarah Rundell United States
Sara Ali Netherlands
Fabiola Tros France
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Citations per field
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Citations per year

Countries citing papers authored by David Gerlach

Since Specialization
Citations

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

Fields of papers citing papers by David Gerlach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018148
2 201569
3 201959
4 202129
5 201929
6 201520
7 202413
8 202512
9 20228
10 20227
11 20191
12
[Further investigations concerning the reaction between haptoglobin and T4-antigen-carrying streptocci (author's transl)].
19791
13 20250

About David Gerlach

David Gerlach is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Microbiology and Cell Biology, having authored 13 papers that have together received 396 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Glycosylation and Glycoproteins Research (3 papers), Microbial infections and disease research (3 papers), Biochemical and Structural Characterization (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Microbiology (97 citations), Infectious Diseases (155 citations), Ecology (158 citations), Endocrinology (18 citations) and Molecular Medicine (15 citations). David Gerlach has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christiane Wolz, Andreas Peschel, Guoqing Xia, Hanne Ingmer, Jesper Larsen, Thilo Stehle, Sara Ali, Jeroen D. C. Codée, Antonio Molinaro and Cristina De Castro. Their work appears in journals such as The ISME Journal, Cell Reports, Cellular Microbiology, Microbiology Spectrum and Scientific Reports.

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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