V. Spencer

645 citations
16 papers · 515 · h-index 10

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Neutropenia and Cancer Infections

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 3
    • Neutropenia and Cancer Infections 5
    • Lung Cancer Research Studies 2

V. Spencer

16 papers receiving 501 citations

Peers

V. Spencer
Comparison fields: 5 of 83
  • Hematology 188
  • Oncology 178
  • Physical Therapy, Sports Therapy and Rehabilitation 16
  • Cellular and Molecular Neuroscience 54
  • Immunology 59
Replace JY Perrot with:
JY Perrot France
Gemma A. Foulds United Kingdom
Brian Kornblit Denmark
Philip A. DeSimone United States
Roberta Noseda Switzerland
Colin D. Godwin United States
Kimio Nasu Japan
Shoji Sakano Japan
Sarah Hsu United States
Pramila Krishnamurthy United Kingdom
V. Spencer relative to JY Perrot France JY Perrot's profile →
Citations per field
00.5×
JY Perrot · 1×
Citations per year

Countries citing papers authored by V. Spencer

Since Specialization
Citations

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

Fields of papers citing papers by V. Spencer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003143
2 1994110
3 199665
4 200946
5 199235
6 199120
7 199219
8 200118
9 199116
10 199610
11 19928
12 19917
13 19996
14
Detection of minimal residual disease in acute myelogenous leukemia by RNA-in situ hybridization.
19895
15 19934
16 19923

About V. Spencer

V. Spencer is a scholar working on Hematology, Oncology, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 515 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Neutropenia and Cancer Infections (5 papers), Acute Myeloid Leukemia Research (3 papers), Hereditary Neurological Disorders (2 papers), Hematological disorders and diagnostics (2 papers), Lung Cancer Research Studies (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Hematology (188 citations), Oncology (178 citations), Physical Therapy, Sports Therapy and Rehabilitation (16 citations), Cellular and Molecular Neuroscience (54 citations) and Immunology (59 citations). V. Spencer has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Frank Dunphy, Paul J. Petruska, Douglas R. Adkins, G Spitzer, A Curtis, W S Velasquez, Gary Spitzer, W McIntyre, C. Edward Bowers and Frances Elmslie. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Hematology, Methods, The Journals of Gerontology Series A and Stem Cells.

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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