G Spitzer

629 citations
8 papers · 524 · h-index 5

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Neutropenia and Cancer Infections
    • Cancer Treatment and Pharmacology

Papers in

    • Neutropenia and Cancer Infections 3
    • Cancer Treatment and Pharmacology 3
    • Lung Cancer Research Studies 1
    • Hematopoietic Stem Cell Transplantation 3
    • Multiple Myeloma Research and Treatments 2
    • Acute Myeloid Leukemia Research 1

G Spitzer

8 papers receiving 498 citations

Peers

G Spitzer
Comparison fields: 5 of 37
  • Hematology 373
  • Oncology 297
  • Emergency Medicine 47
  • Genetics 29
  • Genetics 71
Replace M Cadiou with:
M Cadiou France
To Lb Australia
M Masi Italy
WP Sheridan Australia
B Barlogie United States
JH Bourhis United States
J O Moore United States
JM Hernández Spain
T.A. Lane United States
S Kusumoto Japan
G Spitzer relative to M Cadiou France M Cadiou's profile →
Citations per field
00.5×1.5×2.0×
M Cadiou · 1×
Citations per year

Countries citing papers authored by G Spitzer

Since Specialization
Citations

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

Fields of papers citing papers by G Spitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1987222
2 1989162
3 1994114
4 198712
5
Double intensification with amsacrine/high dose ara-C and high dose chemotherapy with autologous bone marrow transplantation produces durable remissions in acute myelogenous leukemia.
19906
6 19763
7
A phase II study of repetitive cycles of dose-intense carboplatin plus paclitaxel chemotherapy and peripheral blood stem cells in metastatic breast cancer.
19973
8 19932

About G Spitzer

G Spitzer is a scholar working on Oncology, Hematology, Molecular Biology, Dermatology and Emergency Medicine, having authored 8 papers that have together received 524 indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Treatment and Pharmacology (3 papers), Cancer therapeutics and mechanisms (2 papers), Multiple Myeloma Research and Treatments (2 papers), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Hematology (373 citations), Oncology (297 citations), Emergency Medicine (47 citations), Genetics (29 citations) and Genetics (71 citations). G Spitzer has collaborated with scholars based in United States. Frequent co-authors include Bart Barlogie, Sundar Jagannath, Dicke Ka, S Jagannath, S.L. Tucker, K M Taylor, Jorge A. Spinolo, Fernando Cabanillas, Fredrick B. Hagemeister and Brent L. Fogel. Their work appears in journals such as Blood, Journal of Clinical Oncology, PubMed and Journal of Hematotherapy.

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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