Jan H. Beumer

7.2k citations
234 papers · 4.8k indexed · h-index 40
  • Oncology top 1%
    • PARP inhibition in cancer therapy 31
    • Cancer Treatment and Pharmacology 22
    • Colorectal Cancer Treatments and Studies 18
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research 23
  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments 23
    • Cancer therapeutics and mechanisms 33
    • DNA Repair Mechanisms 28
    • Histone Deacetylase Inhibitors Research 16

Jan H. Beumer

223 papers receiving 4.7k citations

Peers

Jan H. Beumer
Comparison fields: 5 of 130
  • Oncology 2.1k
  • Genetics 476
  • Hematology 420
  • Molecular Biology 2.3k
  • Cancer Research 489
Replace Massimo Zucchetti with:
Massimo Zucchetti Italy
Lionel D. Lewis United States
Jean L. Grem United States
Ralph E. Parchment United States
Alan V. Boddy United Kingdom
Guido Bocci Italy
Jill Kolesar United States
M. E. Scheulen Germany
Mark Lynch United States
Timothy Madden United States
Jan H. Beumer relative to Massimo Zucchetti Italy Massimo Zucchetti's profile →
Citations per field
00.5×
Massimo Zucchetti · 1×
Citations per year

Countries citing papers authored by Jan H. Beumer

Since Specialization
Citations

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

Fields of papers citing papers by Jan H. Beumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan H. Beumer. 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 Jan H. Beumer. The network helps show where Jan H. Beumer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20242
5 20233
6 20231
7 202310
8 20225
9 202211
10 201912
11 201842
12 201810
13 201669
14 201414
15 20145
16 2014105
17 201340
18 201320
19 20136
20 2012155

About Jan H. Beumer

Jan H. Beumer is a scholar working on Oncology, Hematology and Genetics, having authored 234 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (33 papers), PARP inhibition in cancer therapy (31 papers), DNA Repair Mechanisms (28 papers), Chronic Lymphocytic Leukemia Research (23 papers), Chronic Myeloid Leukemia Treatments (23 papers), Cancer Treatment and Pharmacology (22 papers), Colorectal Cancer Treatments and Studies (18 papers) and Histone Deacetylase Inhibitors Research (16 papers). The work is most often cited by research in Oncology (2.1k citations), Genetics (476 citations) and Hematology (420 citations). Jan H. Beumer has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Merrill J. Egorin, Robert A. Parise, Edward Chu, Susan M. Christner, James J. Lee, Julie L. Eiseman, Jos H. Beijnen, Brian F. Kiesel, Julianne L. Holleran and Hussein Tawbi. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, Journal of Pharmaceutical and Biomedical Analysis, Cancer Research and Clinical Cancer Research.

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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