N E Davidson

811 citations
10 papers · 693 · h-index 8

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Breast Cancer Treatment Studies

Papers in

N E Davidson

10 papers receiving 654 citations

Peers

N E Davidson
Comparison fields: 5 of 62
  • Oncology 369
  • Cancer Research 138
  • Hematology 70
  • Radiology, Nuclear Medicine and Imaging 138
  • Molecular Biology 262
Replace Fraser L. Baker with:
Fraser L. Baker United States
Piera Maggiora Italy
Thomas Waerner Germany
Saori Fujiwara Japan
Josep Lluís Parra United Kingdom
María J. García‐Barchino Spain
Yuriko Mori Germany
Gabriel Ricolleau France
Dan Lu China
U Vogt Germany
N E Davidson relative to Fraser L. Baker United States Fraser L. Baker's profile →
Citations per field
00.5×
Fraser L. Baker · 1×
Citations per year

Countries citing papers authored by N E Davidson

Since Specialization
Citations

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

Fields of papers citing papers by N E Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N E Davidson. 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 N E Davidson. The network helps show where N E Davidson may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2002327
2 1994210
3 199552
4 200133
5
Administration of human recombinant granulocyte colony-stimulating factor (filgrastim) accelerates granulocyte recovery following high-dose chemotherapy and autologous marrow transplantation with 4-hydroperoxycyclophosphamide-purged marrow in women with metastatic breast cancer.
199327
6 198715
7 200015
8 20109
9 19983
10 19722

About N E Davidson

N E Davidson is a scholar working on Molecular Biology, Oncology, Hematology, Pulmonary and Respiratory Medicine and Genetics, having authored 10 papers that have together received 693 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Neutropenia and Cancer Infections (2 papers), Estrogen and related hormone effects (1 paper), Heat shock proteins research (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Ovarian function and disorders (1 paper), Immunotherapy and Immune Responses (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Oncology (369 citations), Cancer Research (138 citations), Hematology (70 citations), Radiology, Nuclear Medicine and Imaging (138 citations) and Molecular Biology (262 citations). N E Davidson has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Deborah K. Armstrong, Takahiko Ito, W. Stratford May, J. N. Ingle, Brittany L. Murphy, EA Perez, VJ Suman, Patrick C. Roche, P. Kaufman and Silvana Martino. Their work appears in journals such as Blood, JNCI Monographs, Nature, JNCI Journal of the National Cancer Institute and Journal of Clinical Oncology.

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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