Ute Apfelbeck

409 total citations
8 papers, 236 citations indexed

About

Ute Apfelbeck is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Ute Apfelbeck has authored 8 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 4 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Ute Apfelbeck's work include Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Acute Myeloid Leukemia Research (3 papers). Ute Apfelbeck is often cited by papers focused on Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Acute Myeloid Leukemia Research (3 papers). Ute Apfelbeck collaborates with scholars based in Austria. Ute Apfelbeck's co-authors include Heinz Sill, Werner Linkesch, Christine Beham‐Schmid, Oskar A. Haas, Gerald Höefler, Peter Neumeister, Helmut Schaider, Helena Schmidt, Nicholas C.P. Cross and Andrew Chase and has published in prestigious journals such as Blood, Gastroenterology and Bone Marrow Transplantation.

In The Last Decade

Ute Apfelbeck

8 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ute Apfelbeck Austria	6	132	116	90	61	41	8	236
Laurence Baranger France	12	244 1.8×	104 0.9×	63 0.7×	40 0.7×	110 2.7×	19	362
Jonathan Lambert United Kingdom	9	69 0.5×	115 1.0×	74 0.8×	53 0.9×	65 1.6×	25	235
Claudia Minotto Italy	9	92 0.7×	122 1.1×	110 1.2×	15 0.2×	56 1.4×	14	252
U. Wandl Germany	10	250 1.9×	161 1.4×	48 0.5×	88 1.4×	33 0.8×	26	343
Márcia Torresan Delamain Brazil	10	139 1.1×	126 1.1×	74 0.8×	68 1.1×	33 0.8×	53	272
Kerry Taylor United States	7	139 1.1×	48 0.4×	99 1.1×	36 0.6×	69 1.7×	12	295
Yeo‐Kyeoung Kim South Korea	7	119 0.9×	47 0.4×	54 0.6×	49 0.8×	93 2.3×	9	236
Mridul Agrawal United States	8	187 1.4×	128 1.1×	48 0.5×	30 0.5×	64 1.6×	12	289
Hans Torben Mourits‐Andersen Denmark	6	321 2.4×	192 1.7×	69 0.8×	59 1.0×	54 1.3×	9	399
Xiu Yan Xie United States	6	189 1.4×	105 0.9×	67 0.7×	10 0.2×	56 1.4×	9	312

Countries citing papers authored by Ute Apfelbeck

Since Specialization

Citations

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

Fields of papers citing papers by Ute Apfelbeck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Apfelbeck

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Apfelbeck. A scholar is included among the top collaborators of Ute Apfelbeck 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 Ute Apfelbeck. Ute Apfelbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Beham‐Schmid, Christine, et al.. (2002). Treatment of chronic myelogenous leukemia with the tyrosine kinase inhibitor STI571 results in marked regression of bone marrow fibrosis. Blood. 99(1). 381–383. 99 indexed citations

2.

Hilbe, Wolfgang, Thomas Kühr, Ute Apfelbeck, et al.. (2001). Dose Escalation of Ara-C May Improve Response Rates in a Subgroup of Chronic Myeloid Leukemia Patients with Poor Response to Interferon-α and Low-dose Ara-C. Leukemia & lymphoma. 42(6). 1283–1288. 1 indexed citations

3.

Hilbe, Wolfgang, Thomas Kühr, Ute Apfelbeck, et al.. (2001). Dose Escalation of Ara-C May Improve Response Rates in a Subgroup of Chronic Myeloid Leukemia Patients with Poor Response to Interferon-α and Low-dose Ara-C. Leukemia & lymphoma. 42(6). 1283–1288. 1 indexed citations

4.

Apfelbeck, Ute, Gerald Höefler, Peter Neumeister, et al.. (2000). Extramedullary T cell lymphoblastic transformation of chronic myeloid leukaemia successfully treated with matched unrelated donor bone marrow transplantation. Bone Marrow Transplantation. 26(10). 1111–1112. 7 indexed citations

5.

Kühr, Thomas, Wolfgang Eisterer, Ute Apfelbeck, et al.. (2000). Treatment of patients with advanced chronic myelogenous leukemia with interferon-alpha-2b and continuous oral cytarabine ocfosfate (YNK01):. Leukemia Research. 24(7). 583–587. 11 indexed citations

6.

Hilbe, Wolfgang, Ute Apfelbeck, Michael Fridrik, et al.. (1998). Interferon-α for the treatment of elderly patients with chronic myeloid leukaemia. Leukemia Research. 22(10). 881–886. 9 indexed citations

7.

Neumeister, Peter, Gerald Höefler, Christine Beham‐Schmid, et al.. (1997). Deletion analysis of the p16 tumor suppressor gene in gastrointestinal mucosa-associated lymphoid tissue lymphomas. Gastroenterology. 112(6). 1871–1875. 63 indexed citations

8.

Sill, Heinz, et al.. (1994). No evidence for microsatellite instability or consistent loss of heterozygosity at selected loci in chronic myeloid leukaemia blast crisis.. PubMed. 8(11). 1923–8. 45 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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