Weissman Il
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 10
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 4
- Immunodeficiency and Autoimmune Disorders 3
- Immunotherapy and Immune Responses 2
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- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Hideto KaneshimaL D ShultzM LiebermanReiko NamikawaNaoshige UchidaKoichi IkutaGJ SpangrudeLibuse Jerabek
- Journals
- Blood (4 papers)Biological Bulletin (1 paper)Science (1 paper)PubMed (8 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Weissman Il
14 papers receiving 761 citations
Peers
Comparison fields: 5 of 76
- Virology 114
- Immunology 423
- Hematology 193
- Genetics 87
- Oncology 119
Countries citing papers authored by Weissman Il
This map shows the geographic impact of Weissman Il'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 Weissman Il with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weissman Il more than expected).
Fields of papers citing papers by Weissman Il
This network shows the impact of papers produced by Weissman Il. 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 Weissman Il. The network helps show where Weissman Il may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Weissman Il, 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 | 2000 | 33 | |
| 2 | 1996 | 64 | |
| 3 | Searching for hematopoietic stem cells. II. The heterogeneity of Thy-1.1(lo)Lin(-/lo)Sca-1+ mouse hematopoietic stem cells separated by counterflow centrifugal elutriation. | 1996 | 39 |
| 4 | The in vivo effects of steel factor on natural killer lineage cells in murine spleen and bone marrow. | 1994 | 5 |
| 5 | 1992 | 21 | |
| 6 | 1992 | 2 | |
| 7 | 1991 | 152 | |
| 8 | 1988 | 372 | |
| 9 | Expression of two serine esterase genes during an allograft rejection in the mouse. | 1988 | 1 |
| 10 | Molecules recognized by anti-idiotypic monoclonal antibodies to the B cell lymphoma, BCL1. | 1987 | 2 |
| 11 | Receptor mediated leukemogenesis: murine leukemia virus interacts with BCL1 lymphoma cell surface IgM. | 1987 | 13 |
| 12 | Immunoglobulin gene rearrangement during pre-B cell differentiation. | 1983 | 56 |
| 13 | Differentiation of migration of T lymphocytes. | 1975 | 8 |
| 14 | Tumor immunity in vivo: evidence that immune destruction of tumor leaves "bystander" cells intact. | 1973 | 17 |
About Weissman Il
Weissman Il is a scholar working on Immunology, Hematology, Genetics, Oncology and Paleontology, having authored 14 papers that have together received 785 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Cells and Metastasis (2 papers), Mesenchymal stem cell research (2 papers), Immunotherapy and Immune Responses (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Virology (114 citations), Immunology (423 citations), Hematology (193 citations), Genetics (87 citations) and Oncology (119 citations). Weissman Il has collaborated with scholars based in United States and Canada. Frequent co-authors include Hideto Kaneshima, L D Shultz, M Lieberman, Reiko Namikawa, Naoshige Uchida, Koichi Ikuta, GJ Spangrude, Libuse Jerabek, Baruch Rinkevich and Edmund K. Waller. Their work appears in journals such as Blood, Biological Bulletin, Science 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.