Stephen D. Lupton

2.8k citations
19 papers · 2.3k indexed · 1 hit paper · h-index 15
  • Immunology top 2%
    • T-cell and B-cell Immunology 4
    • Immunodeficiency and Autoimmune Disorders 2
  • Oncology top 5%
    • CAR-T cell therapy research 5
  • Virology top 5%
  • Genetics top 5%
    • Virus-based gene therapy research 4
  • Hematology top 5%
    • Glycosylation and Glycoproteins Research 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Herpesvirus Infections and Treatments 3
    • Cytomegalovirus and herpesvirus research 3

Stephen D. Lupton

19 papers receiving 2.2k citations

Hit Papers

Stimulation of B-cell progenitors by cloned murine interl...6571988202620002013200400600

Peers

Stephen D. Lupton
Comparison fields: 5 of 82
  • Immunology 1.2k
  • Oncology 776
  • Virology 123
  • Genetics 673
  • Hematology 211
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Citations per field
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Citations per year

Countries citing papers authored by Stephen D. Lupton

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Lupton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Lupton. 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 Stephen D. Lupton. The network helps show where Stephen D. Lupton may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 199919
2 199634
3 1996470
4 19958
5 199576
6
Retrovirus-mediated transfer of a hygromycin phosphotransferase-thymidine kinase fusion gene into human CD34+ bone marrow cells.
19944
7 19949
8 199265
9 1991147
10 199199
11 199049
12 19902
13 1989190
14 198926
15 1989227
16 198994
17
Stimulation of B-cell progenitors by cloned murine interleukin-7breakdown →
1988657
18 1985120
19 198546

About Stephen D. Lupton

Stephen D. Lupton is a scholar working on Immunology, Oncology and Virology, having authored 19 papers that have together received 2.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (776 citations) and Virology (123 citations). Stephen D. Lupton has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David Cosman, Robert W. Overell, Raymond G. Goodwin, Ann E. Schmierer, A E Namen, Steven Gillis, J Wignall, Arnold J. Levine, Bruce Mosley and Carl J. March. Their work appears in journals such as Human Gene Therapy, Molecular and Cellular Biology, The Journal of Immunology, Nature Medicine and The Journal of Experimental Medicine.

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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