M. Graubner

461 citations
18 papers · 314 · h-index 8

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Multiple Myeloma Research and Treatments
    • Chronic Lymphocytic Leukemia Research
    • Blood disorders and treatments

Papers in

    • Lung Cancer Research Studies 4
    • Blood groups and transfusion 3
    • Platelet Disorders and Treatments 2
    • Acute Myeloid Leukemia Research 2

M. Graubner

16 papers receiving 284 citations

Peers

M. Graubner
Comparison fields: 5 of 45
  • Hematology 222
  • Genetics 68
  • Nephrology 19
  • Immunology 55
  • Pathology and Forensic Medicine 37
Replace R McMillan with:
R McMillan United States
S Morandi Italy
P Beris Switzerland
Michihiro Uchiyama Japan
Alessandra Crescimanno Italy
P G Cachia United Kingdom
H. L. Seewann Austria
ME Rick United States
Jaime Garcı́a-Chávez Mexico
Birsen Ülkü Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by M. Graubner

Since Specialization
Citations

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

Fields of papers citing papers by M. Graubner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1980144
2 198535
3 198531
4 197527
5 198415
6 197714
7 198411
8 20059
9 19837
10 20085
11 19825
12 19813
13 20163
14
[Hairy cell leukemia].
19763
15 20051
16
[Therapeutic results in adult acute leukemia in Giessen].
19781
17 20090
18 20080

About M. Graubner

M. Graubner is a scholar working on Oncology, Hematology, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 18 papers that have together received 314 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Blood disorders and treatments (4 papers), Blood groups and transfusion (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Platelet Disorders and Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (222 citations), Genetics (68 citations), Nephrology (19 citations), Immunology (55 citations) and Pathology and Forensic Medicine (37 citations). M. Graubner has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include C. Mueller‐Eckhardt, W. Kayser, J. Neuzner, A. Salama, V. Kiefel, H. Pralle, C Mueller-Eckhardt, Norbert Schmitz, N Buskard and H. Löffler. Their work appears in journals such as Journal of Clinical Oncology, Annals of Hematology, British Journal of Haematology, Journal of Molecular Medicine and Blood.

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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