M Berends

790 citations
5 papers · 582 · 1 hit paper · h-index 3

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

M Berends

4 papers receiving 579 citations

M Berends's Hit Papers

Acquired mutations in TET2 are common in myelodysplastic syndromes 2009 · 548 citations
5480+5+11Years since publication100200300400500

Peers

M Berends
Comparison fields: 5 of 40
  • Hematology 319
  • Genetics 143
  • Molecular Biology 390
  • Cancer Research 75
  • Pathology and Forensic Medicine 31
Replace Martin Wichmann with:
Martin Wichmann Germany
B Przychodzen United States
Anna Raimbault France
Edy Hasrouni United States
Alexander J. Silver United States
Tetsuichi Yoshizato Japan
Audrey Basinko France
Kaitlyn Shank United States
Vincent Bourgoin Canada
Chantal S. Goudswaard Netherlands
M Berends relative to Martin Wichmann Germany Martin Wichmann's profile →
Citations per field
00.5×1.5×
Martin Wichmann · 1×
Citations per year

Countries citing papers authored by M Berends

Since Specialization
Citations

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

Fields of papers citing papers by M Berends

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Berends, 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 Berends Line = papers co-authored together M Berends links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Acquired mutations in TET2 are common in myelodysplastic syndromes
Hit paper breakdown →
2009548
2 200028
3 20254
4 20092
5 20250

About M Berends

M Berends is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Hematology, Genetics and Cancer Research, having authored 5 papers that have together received 582 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (1 paper), Genetic factors in colorectal cancer (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Epigenetics and DNA Methylation (1 paper), DNA Repair Mechanisms (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Hematology (319 citations), Genetics (143 citations), Molecular Biology (390 citations), Cancer Research (75 citations) and Pathology and Forensic Medicine (31 citations). M Berends has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Roland P. Kuiper, Mariam G. Aslanyan, Marion Massop, Ad Geurts van Kessel, Saskia Langemeijer, Peter Vandenberghe, Ruth Knops, Estelle Verburgh, Théo de Witte and Patricia van den Hoogen. Their work appears in journals such as Leukemia Research, European Journal of Nuclear Medicine and Molecular Imaging, Nature Genetics, Human Pathology and JCI Insight.

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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