W. Gaßmann

2.9k citations
42 papers · 1.1k indexed · h-index 16

W. Gaßmann

36 papers receiving 1.0k citations

Peers

W. Gaßmann
Comparison fields: 5 of 52
  • Hematology 930
  • Genetics 199
  • Public Health, Environmental and Occupational Health 425
  • Immunology 162
  • Emergency Medicine 74
Replace Dieter K. Hossfeld with:
Dieter K. Hossfeld Germany
J L Laï France
M C López-Berges Spain
CM Rubin United States
J Mirro United States
Richard E. Helmer United States
JH Kersey United States
SC Raimondi United States
Toru Sakura Japan
S Chatters United Kingdom
W. Gaßmann relative to Dieter K. Hossfeld Germany Dieter K. Hossfeld's profile →
Citations per field
00.5×
Dieter K. Hossfeld · 1×
Citations per year

Countries citing papers authored by W. Gaßmann

Since Specialization
Citations

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

Fields of papers citing papers by W. Gaßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20110
2 20096
3 20080
4 199829
5 199721
6 199744
7 199741
8 199662
9 199615
10 199632
11 19956
12
Induction of graft-versus-leukemia (GVL) activity in murine leukemia models after IL-2 pretreatment of syngeneic and allogeneic bone marrow grafts.
199415
13 19931
14 199322
15 199313
16 19910
17 19857
18 198531
19 19821
20
[Current status of chemotherapy for Hodgkin's disease].
19811

About W. Gaßmann

W. Gaßmann is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Transplantation and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Acute Lymphoblastic Leukemia research (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Retinoids in leukemia and cellular processes (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Hematology (930 citations), Genetics (199 citations), Public Health, Environmental and Occupational Health (425 citations), Immunology (162 citations) and Emergency Medicine (74 citations). W. Gaßmann has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Helmut Löffler, Torsten Haferlach, Claudia Schoch, Thomas Büchner, Achim Heinecke, Wolfgang Hiddemann, Christa Fonatsch, Wolfgang Ludwig, Norbert Schmitz and Wolfgang Kern. Their work appears in journals such as British Journal of Haematology, Blood, Annals of Hematology, Leukemia Research and Leukemia.

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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