G Risdon
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 8
- Genetics top 5%
- Mesenchymal stem cell research 4
- Virus-based gene therapy research 2
- Estrogen and related hormone effects 2
- Immunology top 10%
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
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- Hormonal and reproductive studies 2
- Co-authors
- Jennifer A. GaddyHal E. BroxmeyerJohn E. DickJosef VormoorFrançoise PflumioBruce PattersonHE BroxmeyerFrederick B. Stehman
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
G Risdon
14 papers receiving 827 citations
Peers
Comparison fields: 5 of 65
- Hematology 388
- Genetics 211
- Immunology 394
- Oncology 216
- Pathology and Forensic Medicine 98
Countries citing papers authored by G Risdon
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 5 | |
| 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. | 2002 | 167 |
| 3 | 1995 | 52 | |
| 4 | 1995 | 96 | |
| 5 | 1994 | 138 | |
| 6 | SCID mice as an in vivo model of human cord blood hematopoiesis. | 1994 | 29 |
| 7 | 1994 | 227 | |
| 8 | Allogeneic responses of human umbilical cord blood. | 1994 | 43 |
| 9 | 1994 | 21 | |
| 10 | 1993 | 4 | |
| 11 | 1991 | 2 | |
| 12 | Differential effects of dehydroepiandrosterone (DHEA) on murine lymphopoiesis and myelopoiesis. | 1991 | 21 |
| 13 | 1991 | 14 | |
| 14 | Mechanisms of chemoprevention by dietary dehydroisoandrosterone. Inhibition of lymphopoiesis. | 1990 | 24 |
About G Risdon
G Risdon is a scholar working on Hematology, Genetics, Immunology, Genetics and Endocrinology, Diabetes and Metabolism, 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), Estrogen and related hormone effects (2 papers) and Immunotherapy and Immune Responses (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, John E. Dick, Josef Vormoor, Françoise Pflumio, Bruce Patterson, HE Broxmeyer, Frederick B. Stehman, Minoru Horie and Clay B. Siegall. 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.