G Risdon

1.1k citations
14 papers · 843 · h-index 11

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2

G Risdon

14 papers receiving 827 citations

Peers

G Risdon
Comparison fields: 5 of 65
  • Hematology 388
  • Genetics 211
  • Immunology 394
  • Oncology 216
  • Pathology and Forensic Medicine 98
Replace FJ Bollum with:
FJ Bollum United States
Chiara Gentilini Germany
I D Bernstein United States
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Citations per field
00.5×
FJ Bollum · 1×
Citations per year

Countries citing papers authored by G Risdon

Since Specialization
Citations

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

Fields of papers citing papers by G Risdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside G Risdon, 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 Risdon Line = papers co-authored together G Risdon links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1994227
2
The anti-CD30 monoclonal antibody SGN-30 promotes growth arrest and DNA fragmentation in vitro and affects antitumor activity in models of Hodgkin's disease.
2002167
3 1994138
4 199596
5 199552
6
Allogeneic responses of human umbilical cord blood.
199443
7
SCID mice as an in vivo model of human cord blood hematopoiesis.
199429
8
Mechanisms of chemoprevention by dietary dehydroisoandrosterone. Inhibition of lymphopoiesis.
199024
9
Differential effects of dehydroepiandrosterone (DHEA) on murine lymphopoiesis and myelopoiesis.
199121
10 199421
11 199114
12 20025
13 19934
14 19912

About G Risdon

G Risdon is a scholar working on Hematology, Immunology, Genetics, Genetics and Molecular Biology, having authored 14 papers that have together received 843 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Mesenchymal stem cell research (4 papers), Hormonal and reproductive studies (2 papers), Virus-based gene therapy research (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Hematology (388 citations), Genetics (211 citations), Immunology (394 citations), Oncology (216 citations) and Pathology and Forensic Medicine (98 citations). G Risdon has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jennifer A. Gaddy, Hal E. Broxmeyer, Bruce Patterson, John E. Dick, Françoise Pflumio, Josef Vormoor, Frederick B. Stehman, HE Broxmeyer, Minoru Horie and Kerry Klussman. Their work appears in journals such as Blood, Immunology and Cell Biology, Cellular Immunology, Journal of Interferon & Cytokine Research and Proceedings of the National Academy of Sciences.

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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