M. R. Visser

1.3k citations
36 papers · 966 indexed · h-index 22
Topics
Antibiotic Resistance in Bacteria (6 papers)Pancreatitis Pathology and Treatment (4 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)

In The Last Decade

M. R. Visser

35 papers receiving 926 citations

Peers

M. R. Visser
Comparison fields: 5 of 101
  • Epidemiology 263
  • Surgery 179
  • Infectious Diseases 175
  • Molecular Biology 143
  • Radiology, Nuclear Medicine and Imaging 126
Replace Masaru Shimizu with:
Masaru Shimizu Japan
Jennifer Johnson United States
Simon Daenen Netherlands
D. J. Winston United States
Ioannis Ioannidis Greece
Jing Feng China
Theodora Anagnostou United States
Maria Cristina Morelli Italy
Jae Hyun Jeon South Korea
Sebastian Decker Germany
M. R. Visser relative to Masaru Shimizu Japan Masaru Shimizu's profile →
Citations per field
00.5×3.9×
Masaru Shimizu · 1×
Citations per year

Countries citing papers authored by M. R. Visser

Since Specialization
Citations

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

Fields of papers citing papers by M. R. Visser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. R. Visser

This figure shows the co-authorship network connecting the top 25 collaborators of M. R. Visser. A scholar is included among the top collaborators of M. R. Visser 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 M. R. Visser. M. R. Visser 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 21
2 20
3 8
4 73
5 25
6
Rápida adquisición de resistencia in vitro al ertapenem en Escherichia coli productora de betalactamasa de espectro extendido
0
7 35
8 108
9 26
10 22
11
[Intra-osseus gas formation in osteomyelitis of vertebrae and pelvis by Klebsiella pneumoniae].
10
12 30
13
Herpes simplex virus and atherosclerosis.
36
14 34
15 6
16 22
17 1
18 21
19 14
20 28

About M. R. Visser

M. R. Visser is a scholar working on Microbiology, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 36 papers that have together received 966 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Pancreatitis Pathology and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Microbiology (14 citations), Molecular Medicine (63 citations) and Clinical Biochemistry (69 citations). M. R. Visser has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include G M Vercellotti, J. Verhoef, Harry S. Jacob, Jesse L. Goodman, Hein G. Gooszen, L. M. A. Akkermans, J G White, Paula B. Tracy, Koop Bosscha and M. Rozenberg-Arska. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Clinical 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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