S. Schubert

637 citations
15 papers · 487 · h-index 10

Impact in

Papers in

S. Schubert

15 papers receiving 475 citations

Peers

S. Schubert
Comparison fields: 5 of 70
  • Endocrinology 103
  • Molecular Medicine 97
  • Clinical Biochemistry 63
  • Microbiology 47
  • Genetics 186
Replace Sabine Gröbner with:
Sabine Gröbner Germany
Dolores Vargas Álvarez Spain
Rafał Gierczyński Poland
Gerrit Brandis Sweden
C. Krishnan Canada
J. Jaissle United States
Yushan Pan China
Sushma Kommineni United States
Yongpeng Shang China
Gongzheng Hu China
S. Schubert relative to Sabine Gröbner Germany Sabine Gröbner's profile →
Citations per field
00.5×1.5×1.9×
Sabine Gröbner · 1×
Citations per year

Countries citing papers authored by S. Schubert

Since Specialization
Citations

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

Fields of papers citing papers by S. Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1998152
2 201364
3 199960
4 200545
5 199941
6 201034
7
[Infections in diabetes mellitus].
199525
8 199520
9 201512
10 201110
11 20039
12 20007
13 20216
14
A randomized controlled trial to evaluate antibiotic impregnated percutaneously introduced central (PIC-) lines in preterm infants
20161
15 20191

About S. Schubert

S. Schubert is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Endocrinology and Epidemiology, having authored 15 papers that have together received 487 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (4 papers), Antibiotic Resistance in Bacteria (3 papers), Vibrio bacteria research studies (2 papers), Escherichia coli research studies (2 papers), Genomics and Phylogenetic Studies (2 papers), Probiotics and Fermented Foods (2 papers), Streptococcal Infections and Treatments (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Endocrinology (103 citations), Molecular Medicine (97 citations), Clinical Biochemistry (63 citations), Microbiology (47 citations) and Genetics (186 citations). S. Schubert has collaborated with scholars based in Germany, France and Italy. Frequent co-authors include J. Heesemann, Alexander Rakin, Christoph A. Jacobi, J Heesemann, Cosima Pelludat, Daniela Fischer, Thomas Eberl, Markus Kostrzewa, Katrin Sparbier and Andreas Wieser. Their work appears in journals such as Infection, Journal of Bacteriology, European Journal of Pediatrics, Journal of Hospital Infection and Journal of Antimicrobial Chemotherapy.

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.

Explore authors with similar magnitude of impact