M. Beitsma

25 papers receiving 490 citations

Peers

M. Beitsma
Comparison fields: 5 of 61
  • Equine 19
  • Reproductive Medicine 74
  • Neurology 127
  • Agronomy and Crop Science 62
  • Public Health, Environmental and Occupational Health 142
Replace Tanja Poth with:
Tanja Poth Germany
Stephanie Maia Acuña Brazil
M.A. Álava Spain
Juliana Ide Aoki Brazil
Ramanathapuram Manjunath India
Andrea Throop United States
Jing‐Pian Peng China
Y.H. Choi United States
Liyan Wang China
Juliane Cristina Ribeiro Fernandes Brazil
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Citations per field
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Citations per year

Countries citing papers authored by M. Beitsma

Since Specialization
Citations

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

Fields of papers citing papers by M. Beitsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Beitsma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Beitsma Line = papers co-authored together M. Beitsma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deletion mapping in neuroblastoma cell lines suggests two distinct tumor suppressor genes in the 1p35-36 region, only one of which is associated with N-myc amplification.
1995104
2 200161
3 200649
4 200645
5 201834
6 201825
7
Lack of class I HLA expression in neuroblastoma is associated with high N-myc expression and hypomethylation due to loss of the MEMO-1 locus.
199623
8 200121
9 200820
10 201619
11 200718
12 201618
13 201517
14 202015
15 200013
16 20197
17 20236
18 20184
19 20182
20 20242

About M. Beitsma

M. Beitsma is a scholar working on Public Health, Environmental and Occupational Health, Neurology, Cancer Research, Molecular Biology and Reproductive Medicine, having authored 25 papers that have together received 509 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (11 papers), Neuroblastoma Research and Treatments (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Sperm and Testicular Function (5 papers), Renal and related cancers (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Microtubule and mitosis dynamics (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Equine (19 citations), Reproductive Medicine (74 citations), Neurology (127 citations), Agronomy and Crop Science (62 citations) and Public Health, Environmental and Occupational Health (142 citations). M. Beitsma has collaborated with scholars based in Netherlands, Italy and Belgium. Frequent co-authors include Rogier Versteeg, Alvin Chan, N C Cheng, A. Westerveld, J. Verhoef, Tom A. E. Stout, Frank Speleman, Nadine Van Roy, Peter van Sluis and Wim Jansen. Their work appears in journals such as Journal of Equine Veterinary Science, Genes Chromosomes and Cancer, Equine Veterinary Journal, Theriogenology and Infection and Immunity.

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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