S. Schaefler

720 citations
19 papers · 589 · h-index 14

Impact in

Papers in

S. Schaefler

19 papers receiving 494 citations

Peers

S. Schaefler
Comparison fields: 5 of 66
  • Molecular Medicine 111
  • Clinical Biochemistry 95
  • Infectious Diseases 218
  • Applied Microbiology and Biotechnology 21
  • Endocrinology 37
Replace S. Al-Obeid with:
S. Al-Obeid France
Megumi Kono Japan
H. M. Van Den Elzen Canada
Julieanne M. Bostock United Kingdom
Ana Madalena Ludovice Portugal
Changbu Wu United States
A J Godfrey Canada
John O. Capobianco United States
W. Love United Kingdom
M. Grabnar Slovenia
S. Schaefler relative to S. Al-Obeid France S. Al-Obeid's profile →
Citations per field
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S. Al-Obeid · 1×
Citations per year

Countries citing papers authored by S. Schaefler

Since Specialization
Citations

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

Fields of papers citing papers by S. Schaefler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside S. Schaefler, 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. Schaefler Line = papers co-authored together S. Schaefler links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 198999
2 196795
3 198160
4 196752
5 196951
6 197331
7 198429
8 197928
9 196824
10 197520
11 199017
12 197116
13 197215
14 197615
15 198213
16 197111
17 196910
18
Inducible System fortheUtilization of 3-Glucosides inEscherichia coli I. Active Transport andUtilization off3-Glucosides'
19672
19 19691

About S. Schaefler

S. Schaefler is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Clinical Biochemistry and Epidemiology, having authored 19 papers that have together received 589 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Enzyme Catalysis and Immobilization (3 papers), Mycobacterium research and diagnosis (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Enzyme function and inhibition (3 papers). The work is most often cited by research in Molecular Medicine (111 citations), Clinical Biochemistry (95 citations), Infectious Diseases (218 citations), Applied Microbiology and Biotechnology (21 citations) and Endocrinology (37 citations). S. Schaefler has collaborated with scholars based in United States and Albania. Frequent co-authors include Werner K. Maas, William Perry, Isaac Schenkein, Ishwari Prasad, Bruce Young, Lawrence D. Budnick, Carolyn L. Ruby, M S Simberkoff, John N. Greene and J. Winter. Their work appears in journals such as Journal of Bacteriology, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Proceedings of the National Academy of Sciences and The Lancet.

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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