W. E. Berdel

1.6k citations
49 papers · 1.3k indexed · h-index 19

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • Metal complexes synthesis and properties

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Acute Myeloid Leukemia Research 6
    • Cancer Research and Treatments 6

W. E. Berdel

47 papers receiving 1.2k citations

Peers

W. E. Berdel
Comparison fields: 5 of 93
  • Hematology 383
  • Oncology 445
  • Genetics 130
  • Immunology 240
  • Cancer Research 126
Replace Peter Palmer with:
Peter Palmer United States
Peter Bross United States
Monica Pallis United Kingdom
M. Rapp France
Rui-Yu Wang United States
Phuong L. Doan United States
NH Mulder Netherlands
DA Scheinberg United States
Steffen Klippel United States
HM Pinedo Netherlands
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Citations per field
00.5×1.5×
Peter Palmer · 1×
Citations per year

Countries citing papers authored by W. E. Berdel

Since Specialization
Citations

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

Fields of papers citing papers by W. E. Berdel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. E. Berdel. 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 W. E. Berdel. The network helps show where W. E. Berdel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201510
2 201266
3 20064
4 2002173
5 19998
6 199918
7 19975
8 199734
9 19953
10 199527
11 19941
12 19942
13 19932
14
Recombinant human stem cell factor stimulates growth of a human glioblastoma cell line expressing c-kit protooncogene.
199245
15
Therapeutic activity of a thioether-lipid conjugate of 1-beta-D-arabinofuranosylcytosine in human colorectal cancer xenografts.
199210
16 199145
17 199199
18 19881
19 19835
20 19824

About W. E. Berdel

W. E. Berdel is a scholar working on Hematology, Biotechnology, Oncology, Immunology and Genetics, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), RNA Interference and Gene Delivery (7 papers), Cancer Cells and Metastasis (6 papers), Acute Myeloid Leukemia Research (6 papers), Cancer Research and Treatments (6 papers), Virus-based gene therapy research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (383 citations), Oncology (445 citations), Genetics (130 citations), Immunology (240 citations) and Cancer Research (126 citations). W. E. Berdel has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include EF Winton, S. Danhauser-Riedl, D Oberberg, B. Reufi, E. Thiel, WR Vogler, Hubert Serve, Carsten Müller‐Tidow, Horst Bürger and Thomas Büchner. Their work appears in journals such as International Journal of Oncology, Blood, Bone Marrow Transplantation, European Journal of Cancer and Annals of Hematology.

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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