F.-J. Schmitz

2.8k citations
37 papers · 2.1k indexed · h-index 17
Topics
Antimicrobial Resistance in Staphylococcus (17 papers)Antibiotic Resistance in Bacteria (9 papers)Bacterial Identification and Susceptibility Testing (9 papers)

In The Last Decade

F.-J. Schmitz

35 papers receiving 1.9k citations

Peers

F.-J. Schmitz
Comparison fields: 5 of 95
  • Molecular Medicine 990
  • Infectious Diseases 750
  • Molecular Biology 603
  • Endocrinology 453
  • Clinical Biochemistry 394
Replace E. Collatz with:
E. Collatz France
N Claire Gordon United Kingdom
Alexey Ruzin United States
P E Coudron United States
Yunsop Chong South Korea
Dingqiang Chen China
Gabriel Gutkind Argentina
M. R. Mulvey Canada
Wladimir Sougakoff France
Thomas D. Gootz United States
F.-J. Schmitz relative to E. Collatz France E. Collatz's profile →
Citations per field
00.5×1.5×
E. Collatz · 1×
Citations per year

Countries citing papers authored by F.-J. Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by F.-J. Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.-J. Schmitz. 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 F.-J. Schmitz. The network helps show where F.-J. Schmitz may publish in the future.

Co-authorship network of co-authors of F.-J. Schmitz

This figure shows the co-authorship network connecting the top 25 collaborators of F.-J. Schmitz. A scholar is included among the top collaborators of F.-J. Schmitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F.-J. Schmitz. F.-J. Schmitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 77
2 2
3 302
4 7
5 9
6 42
7 9
8 65
9 146
10 47
11 210
12 3
13 62
14 141
15 49
16 56
17 8
18 1
19 42
20 73

About F.-J. Schmitz

F.-J. Schmitz is a scholar working on Molecular Medicine, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (17 papers), Antibiotic Resistance in Bacteria (9 papers) and Bacterial Identification and Susceptibility Testing (9 papers). The work is most often cited by research in Molecular Medicine (990 citations), Endocrinology (453 citations) and Clinical Biochemistry (394 citations). F.-J. Schmitz has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Ad C. Fluit, J. Verhoef, Karl Köhrer, Hans‐Peter Heinz, B. Hofmann, D. Milatović, Mark E. Jones, Roland Geisel, U. Hadding and Michael E. Jones. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Microbiology and Antimicrobial Agents and 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.

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