N Spector

956 citations
10 papers · 754 · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Toxin Mechanisms and Immunotoxins 3
    • T-cell and Retrovirus Studies 2
    • Viral-associated cancers and disorders 2

N Spector

10 papers receiving 723 citations

Peers

N Spector
Comparison fields: 5 of 45
  • Hematology 224
  • Genetics 211
  • Pathology and Forensic Medicine 323
  • Biotechnology 111
  • Immunology 269
Replace Roland Schnell with:
Roland Schnell Germany
Volker Diehl Germany
J. Graham Sharp United States
HG Ahuja United States
JW Uhr United States
Katherine Stephans United States
RA Miller United States
Evgeny Arons United States
Thelma M. Watson United States
Sandra Kanan United States
N Spector relative to Roland Schnell Germany Roland Schnell's profile →
Citations per field
00.5×2.6×
Roland Schnell · 1×
Citations per year

Countries citing papers authored by N Spector

Since Specialization
Citations

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

Fields of papers citing papers by N Spector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1993254
2 1992131
3 1993128
4 199387
5 199382
6
Monoclonal antibody-purged autologous bone marrow transplantation in adults with acute lymphoblastic leukemia at high risk of relapse.
199335
7 199315
8 199410
9 19928
10 19934

About N Spector

N Spector is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 10 papers that have together received 754 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), T-cell and Retrovirus Studies (2 papers), Viral-associated cancers and disorders (2 papers), Transgenic Plants and Applications (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (224 citations), Genetics (211 citations), Pathology and Forensic Medicine (323 citations), Biotechnology (111 citations) and Immunology (269 citations). N Spector has collaborated with scholars based in United States. Frequent co-authors include F Coral, AS Freedman, Donna Neuberg, K Pesek, W A Blättler, V S Goldmacher, L Eliseo, JG Gribben, JM Lambert and Michael Barber. Their work appears in journals such as Blood, Journal of Clinical Oncology and PubMed.

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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