John P. Dekker

5.9k citations
85 papers · 3.5k indexed · 2 hit papers · h-index 31
Topics
Antibiotic Resistance in Bacteria (35 papers)Bacterial Identification and Susceptibility Testing (23 papers)Genomics and Phylogenetic Studies (16 papers)

In The Last Decade

John P. Dekker

81 papers receiving 3.4k citations

Hit Papers

Difficult-to-Treat Resistance in Gram-negative Bacteremia...201820262020202320182020100200300

Peers

John P. Dekker
Comparison fields: 5 of 137
  • Molecular Medicine 1.5k
  • Molecular Biology 980
  • Epidemiology 795
  • Clinical Biochemistry 712
  • Endocrinology 594
Replace Niels Frimodt‐Møller with:
Niels Frimodt‐Møller Denmark
Nourkhoda Sadeghifard Iran
Anne‐Catrin Uhlemann United States
Sören Gatermann Germany
Sandra S. Richter United States
Tetsuya Yagi Japan
José A. Bengoechea Spain
Keigo Shibayama Japan
Costi D. Sifri United States
Teruo Kirikae Japan
John P. Dekker relative to Niels Frimodt‐Møller Denmark Niels Frimodt‐Møller's profile →
Citations per field
00.5×1.5×2.5×
Niels Frimodt‐Møller · 1×
Citations per year

Countries citing papers authored by John P. Dekker

Since Specialization
Citations

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

Fields of papers citing papers by John P. Dekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Dekker. 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 John P. Dekker. The network helps show where John P. Dekker may publish in the future.

Co-authorship network of co-authors of John P. Dekker

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Dekker. A scholar is included among the top collaborators of John P. Dekker 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 John P. Dekker. John P. Dekker 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 0
2 2
3 1
4 0
5 22
6 5
7 11
8 7
9
Prevalence of Antibiotic-Resistant Pathogens in Culture-Proven Sepsis and Outcomes Associated With Inadequate and Broad-Spectrum Empiric Antibiotic Usebreakdown →
232
10 55
11 14
12 22
13 141
14 41
15 1
16 6
17 21
18 51
19 40
20 175

About John P. Dekker

John P. Dekker is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 85 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (35 papers), Bacterial Identification and Susceptibility Testing (23 papers) and Genomics and Phylogenetic Studies (16 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Applied Microbiology and Biotechnology (508 citations) and Endocrinology (594 citations). John P. Dekker has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Karen M. Frank, Gary Yellen, Anna F. Lau, Sameer S. Kadri, Robert L. Danner, Chanu Rhee, Michael Klompas, Tara N. Palmore, Susu He and Fred Dyda. Their work appears in journals such as Nature, New England Journal of Medicine and Nature Communications.

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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