D. Lutz

1.8k total citations
75 papers, 1.3k citations indexed

About

D. Lutz is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, D. Lutz has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Hematology, 20 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in D. Lutz's work include Acute Myeloid Leukemia Research (22 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Lymphoma Diagnosis and Treatment (10 papers). D. Lutz is often cited by papers focused on Acute Myeloid Leukemia Research (22 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Lymphoma Diagnosis and Treatment (10 papers). D. Lutz collaborates with scholars based in Austria, Germany and Croatia. D. Lutz's co-authors include Otto Majdic, Walter Knapp, Otto Zach, K Liszka, H. Kasparu, Peter Bettelheim, Michael Girschikofsky, Otto Krieger, Hannes Stockinger and Werner Aberer and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

D. Lutz

70 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Lutz Austria 20 421 321 306 306 303 75 1.3k
Edward J. Lee United States 17 858 2.0× 421 1.3× 222 0.7× 500 1.6× 106 0.3× 27 1.6k
Elaine Sobral da Costa Brazil 19 386 0.9× 422 1.3× 163 0.5× 207 0.7× 192 0.6× 65 1.1k
Guy B. Faguet United States 15 105 0.2× 201 0.6× 312 1.0× 145 0.5× 287 0.9× 50 845
B Soehnlen United States 11 269 0.6× 582 1.8× 70 0.2× 513 1.7× 125 0.4× 15 1.2k
Eija Mahlamäki Finland 19 383 0.9× 781 2.4× 103 0.3× 641 2.1× 85 0.3× 35 1.7k
Jeffrey Lin United States 19 216 0.5× 558 1.7× 196 0.6× 794 2.6× 284 0.9× 39 1.6k
Antonella Vitale Italy 21 1.0k 2.5× 504 1.6× 301 1.0× 516 1.7× 280 0.9× 59 2.0k
Guang Fan United States 17 313 0.7× 281 0.9× 263 0.9× 194 0.6× 98 0.3× 63 835
Michele Donato United States 20 537 1.3× 706 2.2× 119 0.4× 214 0.7× 364 1.2× 48 1.7k
Claudio A. Mosse United States 16 150 0.4× 513 1.6× 63 0.2× 248 0.8× 293 1.0× 38 1.1k

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-authorship network of co-authors of D. Lutz

This figure shows the co-authorship network connecting the top 25 collaborators of D. Lutz. A scholar is included among the top collaborators of D. Lutz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Lutz. D. Lutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pröll, Johannes, et al.. (2008). In vitro detection of methylated DNA via recombinant protein MBD2b. Molecular Biology Reports. 36(7). 1859–1862. 5 indexed citations
2.
Pröll, Johannes, et al.. (2008). Immunodetection Array. Methods in molecular biology. 507. 45–54. 1 indexed citations
3.
Zach, Otto & D. Lutz. (2005). Tumor cell detection in peripheral blood and bone marrow. Current Opinion in Oncology. 18(1). 48–56. 54 indexed citations
4.
Häuser, I, German Ott, Johannes Drach, et al.. (2003). Diffuse large B-cell lymphomas with plasmablastic/plasmacytoid features are associated with TP53 deletions and poor clinical outcome. Leukemia. 18(1). 146–155. 42 indexed citations
5.
6.
Zach, Otto, et al.. (2000). Mammaglobin as a Marker for the Detection of Tumor Cells in the Peripheral Blood of Breast Cancer Patients. Annals of the New York Academy of Sciences. 923(1). 343–345. 9 indexed citations
7.
Krieger, O., H. Kasparu, Michael Girschikofsky, et al.. (1997). 181 Cladribine (2-CDA) is active in “high-risk”-chronic myelomonocytic leukemia and secondary or relapsed acute myelo(Mono)cytic leukemia. Leukemia Research. 21(1). S48–S48. 2 indexed citations
8.
Brugiatelli, Maura, Anna Dmoszyńska, O. Krieger, et al.. (1996). 2-Chlorodeoxyadenosine treatment in non-Hodgkin's Lymphoma and B-cell chronic lymphocytic leukemia resistant to conventional chemotherapy: results of a multicentric experience. Annals of Hematology. 73(2). 79–84. 9 indexed citations
9.
Dammann, Olaf, et al.. (1996). DEVELOPMENT OF A REGIONAL COHORT OF VERY‐LOW‐BIRTHWEIGHT CHILDREN AT SIX YEARS: COGNITIVE ABILITIES ARE ASSOCIATED WITH NEUROLOGICAL DISABILITY AND SOCIAL BACKGROUND. Developmental Medicine & Child Neurology. 38(2). 97–108. 67 indexed citations
10.
Koller, Elisabeth, O. Krieger, Martin Mistrík, et al.. (1995). Early detection of minimal residual disease by reverse transcriptase polymerase chain reaction predicts relapse in acute promyelocytic leukemia. Annals of Hematology. 70(2). 75–78. 13 indexed citations
11.
Koller, Elisabeth, O. Krieger, Martin Mistrík, et al.. (1995). Early detection of minimal residual disease by reverse transcriptase polymerase chain reaction predicts relapse in acute promyelocytic leukemia. Annals of Hematology. 70(2). 75–78. 1 indexed citations
12.
Koller, Elisabeth, et al.. (1992). All Trans Retinoic Acid in Primary and Relapsed Acute Promyelocytic Leukemia. Oncology Research and Treatment. 15(1). 42–45. 2 indexed citations
13.
Hołowiecki, Jerzy, María Koehler, G Kardos, et al.. (1992). Childhood Acute Lymphoblastic Leukemia Immunophenotypes and their Prognostic Significance: Experience of the IGCI-Study in 389 Children. Leukemia & lymphoma. 7(3). 225–234. 2 indexed citations
14.
Mucke, Hermann AM, et al.. (1992). Indications for the presence of antibodies cross-reactive with HTLV-I/II, but not HIV, in patients with myelodysplastic syndrome. Clinical Immunology and Immunopathology. 65(1). 75–79. 1 indexed citations
15.
Lutz, D., H. Kasparu, Elisabeth Weber, et al.. (1990). Association of GP40/CD7+ Acute Myeloblastic Leukemia and Chromosome 5 Aberrations. Hämatologie und Bluttransfusion. 33. 141–144. 2 indexed citations
16.
Hołowiecki, Jerzy, D. Lutz, Fabrice E. Graf, et al.. (1986). CD-15 Antigen Detected by the VIM-D5 Monoclonal Antibody for Prediction of Ability to AchieveComplete Remission in Acute Nonlymphocytic Leukemia. Acta Haematologica. 76(1). 16–19. 18 indexed citations
17.
Pfister, Rudolf, D. Lutz, Helmut Gadner, et al.. (1985). Surface glycoproteins (S-GP) on normal and malignant human leukocytes. Annals of Hematology. 50(3). 157–168. 2 indexed citations
18.
Niederwieser, Dietger, et al.. (1982). Dichteverteilung menschlicher Lymphozyten. Annals of Hematology. 45(6). 385–394. 3 indexed citations
19.
Lutz, D., et al.. (1973). Methylation of Deoxyribonucleic Acid in Regenerating Rat Liver. Zeitschrift für Naturforschung C. 28(7-8). 463–465. 4 indexed citations
20.
Lutz, D., et al.. (1972). In vivo Methylation of DNA in Different Organs of Rat at Various Ages. Zeitschrift für Naturforschung B. 27(8). 992–995. 3 indexed citations

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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