Silke Peter

70 papers receiving 2.8k citations

Silke Peter's Hit Papers

Matrix Metalloproteinases: Role In Arthritis 2006 · 1.1k citations
1.1k0+6+13Years since publication2505007501000

Peers

Silke Peter
Comparison fields: 5 of 129
  • Molecular Medicine 678
  • Applied Microbiology and Biotechnology 147
  • Clinical Biochemistry 373
  • Rheumatology 529
  • Endocrinology 184
Replace Toshiro Shirakawa with:
Toshiro Shirakawa Japan
Payam Behzadi Iran
Young Bae Kim South Korea
Xiaoling Ma China
Teruo Kirikae Japan
Joshua Olson United States
Abigail L. Manson United States
Nicolas Kieffer France
William T. Doerrler United States
Ye Feng China
Silke Peter relative to Toshiro Shirakawa Japan Toshiro Shirakawa's profile →
Citations per field
00.5×4.2×
Toshiro Shirakawa · 1×
Citations per year

Countries citing papers authored by Silke Peter

Since Specialization
Citations

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

Fields of papers citing papers by Silke Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Matrix Metalloproteinases: Role In Arthritis
Hit paper breakdown →
20061076
2 2017136
3 2011125
4 2013111
5 2019109
6 201474
7 201573
8 202066
9 201762
10 201960
11 201856
12 201751
13 201549
14 201849
15 201548
16 202136
17 201934
18 201430
19 202129
20 201328

About Silke Peter

Silke Peter is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Clinical Biochemistry and Endocrinology, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (33 papers), Genomics and Phylogenetic Studies (11 papers), Bacterial Identification and Susceptibility Testing (10 papers), Gut microbiota and health (9 papers), Antibiotic Use and Resistance (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Molecular Medicine (678 citations), Applied Microbiology and Biotechnology (147 citations), Clinical Biochemistry (373 citations), Rheumatology (529 citations) and Endocrinology (184 citations). Silke Peter has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Matthias Willmann, Ingo B. Autenrieth, Matthias Marschal, Philipp Oberhettinger, Jan Liese, Wichard Vogel, Michael Buhl, Daniela Dörfel, Erik C. Böttger and Harald Seifert. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology, Frontiers in Microbiology and International Journal of Infectious Diseases.

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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