Leo M. Schouls

19.5k citations
178 papers · 14.6k indexed · 4 hit papers · h-index 59
Topics
Antimicrobial Resistance in Staphylococcus (43 papers)Bacterial Identification and Susceptibility Testing (31 papers)Streptococcal Infections and Treatments (28 papers)

In The Last Decade

Leo M. Schouls

177 papers receiving 14.1k citations

Hit Papers

Simultaneous detection and strain differentiation of Myco...1997202620062016199720021999199950010001.5k2.0k

Peers

Leo M. Schouls
Comparison fields: 5 of 155
  • Infectious Diseases 7.6k
  • Epidemiology 5.8k
  • Molecular Biology 3.5k
  • Parasitology 2.9k
  • Surgery 2.6k
Replace Tsugunori Notomi with:
Tsugunori Notomi Japan
Elizabeth R. Fischer United States
David M. Aanensen United Kingdom
Vincent A. Fischetti United States
Martin Maiden United Kingdom
Marc Lecuit France
Florence Fenollar France
Steve Miller United States
Wim Gaastra Netherlands
Max Maurin France
Leo M. Schouls relative to Tsugunori Notomi Japan Tsugunori Notomi's profile →
Citations per field
00.5×10×13.2×
Tsugunori Notomi · 1×
Citations per year

Countries citing papers authored by Leo M. Schouls

Since Specialization
Citations

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

Fields of papers citing papers by Leo M. Schouls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo M. Schouls. 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 Leo M. Schouls. The network helps show where Leo M. Schouls may publish in the future.

Co-authorship network of co-authors of Leo M. Schouls

This figure shows the co-authorship network connecting the top 25 collaborators of Leo M. Schouls. A scholar is included among the top collaborators of Leo M. Schouls 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 Leo M. Schouls. Leo M. Schouls 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 38
2 10
3 9
4 12
5 30
6 23
7 41
8 76
9 38
10 110
11
Analysis of Bordetella pertussis populations in European countries with different
2
12 39
13 41
14 237
15 15
16 20
17 7
18 99
19 6
20 55

About Leo M. Schouls

Leo M. Schouls is a scholar working on Microbiology, Parasitology and Clinical Biochemistry, having authored 178 papers that have together received 14.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (43 papers), Bacterial Identification and Susceptibility Testing (31 papers) and Streptococcal Infections and Treatments (28 papers). The work is most often cited by research in Parasitology (2.9k citations), Infectious Diseases (7.6k citations) and Microbiology (1.7k citations). Leo M. Schouls has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jan D. A. van Embden, Ruud Jansen, Wim Gaastra, Dick van Soolingen, J van Embden, Ingrid van de Pol, Annelies Bunschoten, Sjoukje Kuijper, A H Kolk and H.O.F. Molhuizen. Their work appears in journals such as JAMA, PLoS ONE and Applied and Environmental 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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