I L Weissman
- Immunology top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Hematology top 0.5%
- Virology top 0.5%
- Co-authors
- M LiebermanHideto KaneshimaReiko NamikawaJ M McCuneL D ShultzAshley M. BuckleBruno PéaultC Baum
- Topics
- Immune Cell Function and Interaction (16 papers)T-cell and B-cell Immunology (14 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)
- Cited by
- VirologyImmunologyHematology
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
I L Weissman
61 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 3.4k
- Molecular Biology 1.8k
- Oncology 1.3k
- Hematology 1.1k
- Virology 965
Countries citing papers authored by I L Weissman
This map shows the geographic impact of I L Weissman'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 I L Weissman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I L Weissman more than expected).
Fields of papers citing papers by I L Weissman
This network shows the impact of papers produced by I L Weissman. 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 I L Weissman. The network helps show where I L Weissman may publish in the future.
Co-authorship network of co-authors of I L Weissman
This figure shows the co-authorship network connecting the top 25 collaborators of I L Weissman. A scholar is included among the top collaborators of I L Weissman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with I L Weissman. I L Weissman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 50 | |
| 3 | 239 | |
| 4 | 74 | |
| 5 | 96 | |
| 6 | 98 | |
| 7 | 149 | |
| 8 | IDENTIFICATION OF A NOVEL RARE, HUMAN BONE-MARROW POPULATION WITH HEMATOPOIETIC STEM-CELL ACTIVITY .2. INVIVO STUDIES IN IMMUNODEFICIENT SCID MICE ENGRAFTED WITH HUMAN BLOOD-FORMING ORGANS | 1 |
| 9 | 137 | |
| 10 | 17 | |
| 11 | 85 | |
| 12 | 48 | |
| 13 | The SCID-hu Mouse: Murine Model for the Analysis of Human Hematolymphoid Differentiation and Functionbreakdown → | 1135 |
| 14 | 205 | |
| 15 | Endoproteolytic cleavage of gp160 is required for the activation of human immunodeficiency virusbreakdown → | 522 |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 13 | |
| 19 | 130 | |
| 20 | 64 |
About I L Weissman
I L Weissman is a scholar working on Immunology, Virology and Equine, having authored 61 papers that have together received 6.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (14 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Virology (965 citations), Immunology (3.4k citations) and Hematology (1.1k citations). I L Weissman has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include M Lieberman, Hideto Kaneshima, Reiko Namikawa, J M McCune, L D Shultz, Ashley M. Buckle, Bruno Péault, C Baum, Atsushi Tsukamoto and Eric Lagasse. Their work appears in journals such as Science, Cell 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.