Berit Schulte

1.6k citations
25 papers · 1.3k · h-index 18

Impact in

    • Antimicrobial Resistance in Staphylococcus
    • Clostridium difficile and Clostridium perfringens research
    • Bacterial Identification and Susceptibility Testing

Papers in

Berit Schulte

24 papers receiving 1.2k citations

Peers

Berit Schulte
Comparison fields: 5 of 83
  • Infectious Diseases 701
  • Clinical Biochemistry 193
  • Microbiology 149
  • Molecular Medicine 110
  • Endocrinology 97
Replace P. Patrick Cleary with:
P. Patrick Cleary United States
Paul R. McAdam United Kingdom
Rossella Baldan Italy
Helmut Hirt United States
C. P. A. van Boven Netherlands
David S. Stephens United States
Jaber Aslanzadeh United States
Cédric Badiou France
Adeline R. Porter United States
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Citations per field
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Citations per year

Countries citing papers authored by Berit Schulte

Since Specialization
Citations

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

Fields of papers citing papers by Berit Schulte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009250
2 2018152
3 2005141
4 2017110
5 201176
6 201669
7 200158
8 200854
9 201651
10 198636
11 200736
12 200735
13 201431
14 200630
15 200724
16 201222
17 201120
18 200818
19 200515
20 201410

About Berit Schulte

Berit Schulte is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Medicine, Endocrinology and Epidemiology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antibiotic Resistance in Bacteria (5 papers), Bacteriophages and microbial interactions (2 papers), Bacterial biofilms and quorum sensing (2 papers), Antifungal resistance and susceptibility (2 papers), Enterobacteriaceae and Cronobacter Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Infectious Diseases (701 citations), Clinical Biochemistry (193 citations), Microbiology (149 citations), Molecular Medicine (110 citations) and Endocrinology (97 citations). Berit Schulte has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christiane Wolz, Christiane Goerke, Ingo B. Autenrieth, Roman Pantůček, Silva Holtfreter, Barbara M. Bröker, Jiřı́ Doškař, Dorothee Grumann, Stefan Borgmann and Peter Heeg. Their work appears in journals such as Journal of Hospital Infection, Journal of Antimicrobial Chemotherapy, International Journal of Hygiene and Environmental Health, Journal of Clinical Microbiology and Cellular Microbiology.

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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