D. Lutz

1.8k citations
75 papers · 1.3k · h-index 20

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 22
    • Chronic Myeloid Leukemia Treatments 7
    • Epigenetics and DNA Methylation 6
    • Retinoids in leukemia and cellular processes 4

D. Lutz

68 papers receiving 1.2k citations

Peers

D. Lutz
Comparison fields: 5 of 98
  • Hematology 391
  • Genetics 292
  • Immunology 276
  • Pathology and Forensic Medicine 185
  • Oncology 257
Replace Edward J. Lee with:
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D. Lutz relative to Edward J. Lee United States Edward J. Lee's profile →
Citations per field
00.5×3.0×
Edward J. Lee · 1×
Citations per year

Countries citing papers authored by D. Lutz

Since Specialization
Citations

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

Fields of papers citing papers by D. Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981141
2 1999128
3 198482
4 198578
5 199667
6 200966
7 199759
8 200554
9 198747
10 198445
11 200342
12 200234
13 198334
14 197728
15 199525
16 197624
17
Prognostic value of tumour cell detection in peripheral blood of breast cancer patients.
200224
18 200622
19
Human neurolymphomatosis in a patient with chronic lymphatic leukemia.
199122
20
Trisomy 4: a specific karyotype anomaly in primary and secondary acute myeloid leukemia.
199020

About D. Lutz

D. Lutz is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Immunology, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Epigenetics and DNA Methylation (6 papers), Cancer Cells and Metastasis (5 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Hematology (391 citations), Genetics (292 citations), Immunology (276 citations), Pathology and Forensic Medicine (185 citations) and Oncology (257 citations). D. Lutz has collaborated with scholars based in Austria, Germany and Croatia. Frequent co-authors include Otto Majdic, Walter Knapp, Otto Zach, K Liszka, H. Kasparu, Peter Bettelheim, Michael Girschikofsky, Otto Krieger, Hannes Stockinger and Werner Aberer. Their work appears in journals such as Blood, Annals of Hematology, Leukemia Research, British Journal of Haematology and Pacific Journal of Mathematics.

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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