G Schmidt

1.5k citations
54 papers · 1.3k · h-index 18

Impact in

Papers in

    • Escherichia coli research studies 30
    • Salmonella and Campylobacter epidemiology 11
    • Probiotics and Fermented Foods 5

G Schmidt

50 papers receiving 1.1k citations

Peers

G Schmidt
Comparison fields: 5 of 93
  • Endocrinology 622
  • Molecular Medicine 132
  • Microbiology 109
  • Ecology 327
  • Food Science 225
Replace W Aaronson with:
W Aaronson United States
Barbara Jann Germany
W. P. M. Hoekstra Netherlands
Emilisa Frirdich Canada
Joanna Radziejewska‐Lebrecht Poland
Zygmunt Sidorczyk Poland
Jeremy A. Yethon Canada
D C Robertson United States
Susan M. Steenbergen United States
Michael Kowarik Switzerland
G Schmidt relative to W Aaronson United States W Aaronson's profile →
Citations per field
00.5×1.5×1.8×
W Aaronson · 1×
Citations per year

Countries citing papers authored by G Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by G Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985158
2 1966143
3 1990121
4 1969102
5 197686
6 198168
7 198248
8 198047
9 197944
10 197637
11 197335
12 197632
13 197231
14 197629
15 197125
16
The occurrence of three different lipopolysaccharide cores in shigella and their relationship to known enterobacterial core types.
197321
17 197721
18 197220
19 198517
20 202016

About G Schmidt

G Schmidt is a scholar working on Endocrinology, Food Science, Molecular Biology, Ecology and Epidemiology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (30 papers), Bacteriophages and microbial interactions (12 papers), Salmonella and Campylobacter epidemiology (11 papers), Bacterial Genetics and Biotechnology (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Probiotics and Fermented Foods (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Endocrinology (622 citations), Molecular Medicine (132 citations), Microbiology (109 citations), Ecology (327 citations) and Food Science (225 citations). G Schmidt has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Klaus Jann, H. Mayer, Ben Jann, Barbara Jann, Jörg Hacker, Stephan Korom, Sucharit Bhakdi, M Muhly, Colin Hughes and Stefan Knapp. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Medical Microbiology and Immunology, European Journal of Biochemistry and Annals of the New York Academy of Sciences.

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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