R. J. Mulder

1.2k citations
12 papers · 912 indexed · 1 hit paper · h-index 9
Topics
Estrogen and related hormone effects (4 papers)Menopause: Health Impacts and Treatments (4 papers)Peripheral Neuropathies and Disorders (2 papers)

In The Last Decade

R. J. Mulder

12 papers receiving 882 citations

Hit Papers

In vitro susceptibility studies of vancomycin-resistant E...19892026200120131989100200300400

Peers

R. J. Mulder
Comparison fields: 5 of 95
  • Infectious Diseases 288
  • Genetics 253
  • Endocrinology, Diabetes and Metabolism 231
  • Oncology 205
  • Molecular Biology 188
Replace Michael A. Lew with:
Michael A. Lew United States
Arshad Khan United Kingdom
Gue‐Tae Chae South Korea
Xuerui Li China
A. Holzel United Kingdom
N. Kennedy United Kingdom
Jan Kehrmann Germany
M Robert France
Mario E. Cancino‐Díaz Mexico
R. J. Mulder relative to Michael A. Lew United States Michael A. Lew's profile →
Citations per field
00.5×10×15.4×
Michael A. Lew · 1×
Citations per year

Countries citing papers authored by R. J. Mulder

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Mulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. J. Mulder

This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Mulder. A scholar is included among the top collaborators of R. J. Mulder 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 R. J. Mulder. R. J. Mulder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 8
3 53
4 19
5 59
6 33
7 9
8 205
9 84
10 16
11
In vitro susceptibility studies of vancomycin-resistant Enterococcus faecalisbreakdown →
420
12
A comparative investigation on the quality of various culture media as used in the Netherlands for the isolation of mycobacteria.
4

About R. J. Mulder

R. J. Mulder is a scholar working on Endocrinology, Diabetes and Metabolism, Periodontics and Critical Care and Intensive Care Medicine, having authored 12 papers that have together received 912 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Menopause: Health Impacts and Treatments (4 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (126 citations), Infectious Diseases (288 citations) and Endocrinology, Diabetes and Metabolism (231 citations). R. J. Mulder has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include D.F. Sahm, Jessica C. Kissinger, P R Murray, Michael S. Gilmore, Mirjam Mol-Arts, Peter Kenemans, Jan F M Egberts, P Sismondi, E. Kubista and Matthias W. Beckmann. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and Journal of Clinical 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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