E. N. Schmid

622 citations
13 papers · 440 · h-index 10

Impact in

Papers in

    • Helicobacter pylori-related gastroenterology studies 3
    • Antimicrobial Resistance in Staphylococcus 2

E. N. Schmid

13 papers receiving 406 citations

Peers

E. N. Schmid
Comparison fields: 5 of 95
  • Structural Biology 53
  • Endocrinology 44
  • Rehabilitation 40
  • Small Animals 38
  • Infectious Diseases 68
Replace Markus Hilleringmann with:
Markus Hilleringmann Italy
Omar Qazi United Kingdom
Nikolaus Goessweiner‐Mohr Austria
Christian Heinz Germany
Maximilian M. Sauer Switzerland
Misako Ohkusu Japan
Terry R. Paul Canada
Matt S. Conover United States
Zhu Yu-li China
V. L. Thomas United States
E. N. Schmid relative to Markus Hilleringmann Italy Markus Hilleringmann's profile →
Citations per field
00.5×10.6×
Markus Hilleringmann · 1×
Citations per year

Countries citing papers authored by E. N. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by E. N. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. N. Schmid. 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 E. N. Schmid. The network helps show where E. N. Schmid may publish in the future.

Co-authors

The 23 scholars most cited alongside E. N. Schmid, 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 E. N. Schmid Line = papers co-authored together E. N. Schmid links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1983158
2 199148
3 200440
4 201038
5 199038
6 199336
7 199728
8 199621
9 199415
10 199610
11 20114
12 19853
13 19861

About E. N. Schmid

E. N. Schmid is a scholar working on Surgery, Infectious Diseases, Molecular Biology, Ecology and Rehabilitation, having authored 13 papers that have together received 440 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial biofilms and quorum sensing (2 papers), Wound Healing and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mycobacterium research and diagnosis (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Structural Biology (53 citations), Endocrinology (44 citations), Rehabilitation (40 citations), Small Animals (38 citations) and Infectious Diseases (68 citations). E. N. Schmid has collaborated with scholars based in Germany and United States. Frequent co-authors include Karl G. Lickfeld, Alasdair W. McDowall, Jacques Dubochet, R. Ansorg, G. von Recklinghausen, Joachim Dissemond, M. Goos, R. Michel, Rudolf Amann and Jan Buer. Their work appears in journals such as Journal of Medical Microbiology, Journal of Bacteriology, Parasitology Research, Journal of Clinical Microbiology and Genome Research.

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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