K. Quabeck

1000 citations
35 papers · 686 · h-index 11

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research

Papers in

K. Quabeck

35 papers receiving 662 citations

Peers

K. Quabeck
Comparison fields: 5 of 76
  • Hematology 345
  • Transplantation 27
  • Immunology 174
  • Genetics 57
  • Genetics 135
Replace Eugene M. Berkman with:
Eugene M. Berkman United States
A. Della Volpe Italy
Francesco Puppo Italy
Nicola Piccirillo Italy
Robert H. Rudolph United States
Thompson Ja United States
Katalin Rajczy Hungary
C Cywiner-Golenzer France
Giuseppe Irrera Italy
A Darnell Spain
K. Quabeck relative to Eugene M. Berkman United States Eugene M. Berkman's profile →
Citations per field
00.5×
Eugene M. Berkman · 1×
Citations per year

Countries citing papers authored by K. Quabeck

Since Specialization
Citations

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

Fields of papers citing papers by K. Quabeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993160
2 1992100
3 200298
4
The lung as a critical organ in marrow transplantation.
199491
5 198946
6 199029
7 198717
8 199014
9 199012
10 199211
11 198710
12 19948
13 19948
14 19938
15 19887
16 19887
17
[Fungal infections after bone marrow transplantation--an autopsy study].
19917
18 19926
19 19925
20
Constant intravenous pentoxifylline infusions in allogeneic marrow transplant recipients: results of a dose escalation study.
19935

About K. Quabeck

K. Quabeck is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Infectious Diseases, having authored 35 papers that have together received 686 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), Antifungal resistance and susceptibility (6 papers), Transplantation: Methods and Outcomes (5 papers), Fungal Infections and Studies (4 papers), Neutropenia and Cancer Infections (4 papers), Cancer Treatment and Pharmacology (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (345 citations), Transplantation (27 citations), Immunology (174 citations), Genetics (57 citations) and Genetics (135 citations). K. Quabeck has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include U. W. Schaefer, Ullrich Graeven, H. Grosse‐Wilde, UW Schaefer, Hubert Kolb, Peter Wernet, DW Beelen, J. Bertrams, E. F. Lampeter and F. A. Gries. Their work appears in journals such as Blood, European Journal Of Haematology, Mycoses, British Journal of Haematology and Lung.

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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