Jan H. Beumer

7.3k citations
237 papers · 4.9k · h-index 40

Impact in

  • Oncology top 1%
    • PARP inhibition in cancer therapy
    • Colorectal Cancer Treatments and Studies
  • Genetics top 2%
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer therapeutics and mechanisms 27
    • DNA Repair Mechanisms 25
    • Histone Deacetylase Inhibitors Research 14
    • PARP inhibition in cancer therapy 27
    • Cancer Treatment and Pharmacology 19
    • Colorectal Cancer Treatments and Studies 14

Jan H. Beumer

228 papers receiving 4.8k citations

Peers

Jan H. Beumer
Comparison fields: 5 of 126
  • Oncology 1.8k
  • Genetics 375
  • Hematology 335
  • Molecular Biology 2.1k
  • Cancer Research 412
Replace Massimo Zucchetti with:
Massimo Zucchetti Italy
Lionel D. Lewis United States
Timothy W. Synold United States
Raymond J. Hohl United States
Ming Zhao United States
Rolf W. Sparidans Netherlands
Christopher L. Morton United States
Jean L. Grem United States
Guido Bocci Italy
Cody J. Peer United States
Jan H. Beumer relative to Massimo Zucchetti Italy Massimo Zucchetti's profile →
Citations per field
00.5×1.5×1.9×
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-authors

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

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016176
2 2009157
3 2012157
4 2018145
5 2015109
6 2014105
7 201299
8 201093
9 201990
10 201890
11 201188
12 201086
13 201481
14 201476
15 200972
16 201670
17 200761
18 200760
19 201060
20 201960

About Jan H. Beumer

Jan H. Beumer is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Hematology and Genetics, having authored 237 papers that have together received 4.9k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (27 papers), Cancer therapeutics and mechanisms (27 papers), DNA Repair Mechanisms (25 papers), Chronic Myeloid Leukemia Treatments (19 papers), Cancer Treatment and Pharmacology (19 papers), Colorectal Cancer Treatments and Studies (14 papers), Histone Deacetylase Inhibitors Research (14 papers) and Chronic Lymphocytic Leukemia Research (14 papers). The work is most often cited by research in Oncology (1.8k citations), Genetics (375 citations), Hematology (335 citations), Molecular Biology (2.1k citations) and Cancer Research (412 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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