Walter E. Aulitzky

7.7k citations
122 papers · 3.8k · h-index 36

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 32
    • Acute Myeloid Leukemia Research 20
    • Cancer-related Molecular Pathways 10
    • Cancer Immunotherapy and Biomarkers 9

Walter E. Aulitzky

118 papers receiving 3.7k citations

Peers

Walter E. Aulitzky
Comparison fields: 5 of 119
  • Hematology 1.1k
  • Genetics 655
  • Oncology 959
  • Cancer Research 335
  • Pathology and Forensic Medicine 383
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Citations per field
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Citations per year

Countries citing papers authored by Walter E. Aulitzky

Since Specialization
Citations

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

Fields of papers citing papers by Walter E. Aulitzky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019314
2 2011170
3 2005159
4 1997141
5 2010127
6 2003125
7 2007122
8 201894
9 200692
10 201179
11 200878
12 200078
13 200174
14 201171
15 201271
16 201069
17
The tyrosine kinase inhibitor CGP 57148 (ST1 571) induces apoptosis in BCR-ABL-positive cells by down-regulating BCL-X.
200069
18 201664
19 200857
20 200557

About Walter E. Aulitzky

Walter E. Aulitzky is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 122 papers that have together received 3.8k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (32 papers), Chronic Lymphocytic Leukemia Research (24 papers), Acute Myeloid Leukemia Research (20 papers), Eosinophilic Disorders and Syndromes (10 papers), Cancer-related Molecular Pathways (10 papers), Immune Cell Function and Interaction (10 papers), Acute Lymphoblastic Leukemia research (9 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (655 citations), Oncology (959 citations), Cancer Research (335 citations) and Pathology and Forensic Medicine (383 citations). Walter E. Aulitzky has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Heiko van der Kuip, Justus Duyster, Simon Heine, Moshe Oren, Kathrin Böpple, Christian Peschel, Markus Kleih, Frank Eßmann, Meng Dong and Cornelius Miething. Their work appears in journals such as Blood, Annals of Hematology, Cancer Research, Journal of Clinical Oncology and Cell Death and Disease.

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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