Dale D. Isaak
- Biomaterials top 10%
- Virology top 10%
- HIV Research and Treatment 9
- Parasitology top 10%
- Parasites and Host Interactions 3
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- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 4
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment 3
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- Virus-based gene therapy research 4
- Estrogen and related hormone effects 3
- Co-authors
- Edward A. Van KirkWilliam J. MurdochYouqing ShenPeisheng XuYihong ZhanMaciej RadoszRichard H. JacobsonNorman D. Reed
- Cited by
- BiomaterialsVirologyParasitology
- Partner nations
- United StatesSwedenChina
In The Last Decade
Dale D. Isaak
26 papers receiving 447 citations
Peers
Comparison fields: 5 of 86
- Biomaterials 110
- Virology 35
- Parasitology 43
- Immunology 137
- Reproductive Medicine 49
Countries citing papers authored by Dale D. Isaak
This map shows the geographic impact of Dale D. Isaak'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 Dale D. Isaak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dale D. Isaak more than expected).
Fields of papers citing papers by Dale D. Isaak
This network shows the impact of papers produced by Dale D. Isaak. 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 Dale D. Isaak. The network helps show where Dale D. Isaak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dale D. Isaak, 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 | 2011 | 17 | |
| 2 | 2008 | 20 | |
| 3 | 2007 | 20 | |
| 4 | 2004 | 18 | |
| 5 | 1999 | 0 | |
| 6 | 1998 | 14 | |
| 7 | 1994 | 28 | |
| 8 | 1991 | 6 | |
| 9 | 1989 | 2 | |
| 10 | Influence of genotype and the organ of origin on the subtype of T-cell in Moloney lymphomas induced by transfer of preleukemic cells from athymic and thymus-bearing mice. | 1985 | 13 |
| 11 | 1984 | 4 | |
| 12 | 1983 | 7 | |
| 13 | 1983 | 7 | |
| 14 | 1981 | 7 | |
| 15 | 1980 | 51 | |
| 16 | Target cell heterogeneity in murine leukemia virus infection. I. Differences in susceptibility to infection with Friend leukemia virus between B lymphocytes from spleen, bone marrow and lymph nodes. | 1979 | 9 |
| 17 | 1979 | 6 | |
| 18 | Fate of skin grafts from different inbred strains on nude mice bearing allogeneic thymus grafts. | 1978 | 8 |
| 19 | The use of nude mice in model systems for studies on acquired immunity to parasitic helminths, p. 3-16. In proc. Second internat. Workshop nude mice, univ. Tokyo | 1977 | 1 |
| 20 | 1977 | 33 |
About Dale D. Isaak
Dale D. Isaak is a scholar working on Virology, Immunology and Parasitology, having authored 27 papers that have together received 474 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers), Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Estrogen and related hormone effects (3 papers) and Parasites and Host Interactions (3 papers). The work is most often cited by research in Biomaterials (110 citations), Virology (35 citations) and Parasitology (43 citations). Dale D. Isaak has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Edward A. Van Kirk, William J. Murdoch, Youqing Shen, Peisheng Xu, Yihong Zhan, Maciej Radosz, Richard H. Jacobson, Norman D. Reed, Garnett Kelsoe and Jan Černý.
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.