G. Dresemann

1000 citations
15 papers · 619 · h-index 7

Impact in

Papers in

    • Glioma Diagnosis and Treatment 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
    • Chronic Myeloid Leukemia Treatments 7
    • Acute Myeloid Leukemia Research 6
    • Multiple Myeloma Research and Treatments 3

G. Dresemann

13 papers receiving 603 citations

Peers

G. Dresemann
Comparison fields: 5 of 51
  • Genetics 417
  • Cancer Research 157
  • Hematology 115
  • Neurology 83
  • Oncology 126
Replace Michael Badruddoja with:
Michael Badruddoja United States
August J. Salvado United States
Koji Oka Japan
L. Scopece Italy
Marjut Puputti Finland
Kathleen Dashner United States
Jane R. Engler United States
Frank Mendrzyk Germany
Frank J.G. Scherpen Netherlands
B. Reufi Germany
G. Dresemann relative to Michael Badruddoja United States Michael Badruddoja's profile →
Citations per field
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Michael Badruddoja · 1×
Citations per year

Countries citing papers authored by G. Dresemann

Since Specialization
Citations

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

Fields of papers citing papers by G. Dresemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005243
2 2005132
3 2009100
4 200847
5 201041
6 201028
7 200411
8 20094
9 20064
10 20083
11
Imatinib plus hydroxyurea versus hydroxyurea monotherapy in progressive glioblastoma (GBM) - An international open label randomised phase III study (ambrosia-study)
20072
12 20052
13 20072
14 20080
15 20080

About G. Dresemann

G. Dresemann is a scholar working on Genetics, Hematology, Pulmonary and Respiratory Medicine, Molecular Biology and Oncology, having authored 15 papers that have together received 619 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Myeloid Leukemia Research (6 papers), Brain Metastases and Treatment (4 papers), Cancer Treatment and Pharmacology (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Kruppel-like factors research (1 paper). The work is most often cited by research in Genetics (417 citations), Cancer Research (157 citations), Hematology (115 citations), Neurology (83 citations) and Oncology (126 citations). G. Dresemann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include David A. Reardon, Merrill J. Egorin, Roger E. McLendon, Annick Desjardins, Kimberly Kicielinski, John H. Sampson, James J. Vredenburgh, Jennifer A. Quinn, James E. Herndon and Sith Sathornsumetee. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer, International Journal of Cancer, Neuro-Oncology and OncoTargets and Therapy.

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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