Samuel Wagner

4.5k citations
57 papers · 3.2k indexed · 1 hit paper · h-index 30

Impact in

Papers in

    • Vibrio bacteria research studies 14
    • Escherichia coli research studies 9
    • Bacterial Genetics and Biotechnology 36

Samuel Wagner

54 papers receiving 3.2k citations

Hit Papers

Bacterial Type III Secretion Systems: Specialized Nanomachines for Protein Delivery into Target Cells 2014 · 387 citations
3872014202620182022100200300

Peers

Samuel Wagner
Comparison fields: 5 of 133
  • Endocrinology 875
  • Molecular Medicine 314
  • Genetics 1.5k
  • Structural Biology 52
  • Ecology 684
Replace Thomas C. Marlovits with:
Thomas C. Marlovits Austria
Anastassios Economou Belgium
Vasili Hauryliuk Sweden
Chris van der Does Germany
Tanneke den Blaauwen Netherlands
S. J. S. Hardy United Kingdom
C. Erec Stebbins United States
Andreas Kühn Germany
Marjorie Russel United States
Ditlev E. Brodersen Denmark
Samuel Wagner relative to Thomas C. Marlovits Austria Thomas C. Marlovits's profile →
Citations per field
00.5×1.5×
Thomas C. Marlovits · 1×
Citations per year

Countries citing papers authored by Samuel Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202411
2 20243
3 20231
4 20214
5 202036
6 202031
7 201923
8 2018126
9 201747
10 201760
11 2016122
12 201655
13 201649
14 201451
15 2014119
16 201135
17 201156
18 2008343
19 200817
20 2007300

About Samuel Wagner

Samuel Wagner is a scholar working on Endocrinology, Genetics, Molecular Medicine, Health Informatics and Ecology, having authored 57 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), Bacteriophages and microbial interactions (18 papers), RNA and protein synthesis mechanisms (15 papers), Vibrio bacteria research studies (14 papers), Escherichia coli research studies (9 papers), Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Endocrinology (875 citations), Molecular Medicine (314 citations), Genetics (1.5k citations), Structural Biology (52 citations) and Ecology (684 citations). Samuel Wagner has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Jorge E. Galán, Jan‐Willem De Gier, María Lara‐Tejero, Thomas C. Marlovits, Klaas J. van Wijk, Andreas Diepold, Louise Baars, David Drew, Mirjam Klepsch and A. Jimmy Ytterberg. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Molecular Microbiology, Molecular & Cellular Proteomics and PLoS Biology.

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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