Irving L. Weissman
- Molecular Biology top 0.01%
- Immunology top 0.01%
- Oncology top 0.01%
- Hematology top 0.01%
- Genetics top 0.01%
- Co-authors
- Sean J. MorrisonMichael F. ClarkeTannishtha ReyaAmy J. WagersKoichi AkashiEugene C. ButcherRavindra MajetiDerrick J. Rossi
- Topics
- Immune Cell Function and Interaction (150 papers)Hematopoietic Stem Cell Transplantation (150 papers)T-cell and B-cell Immunology (145 papers)
- Cited by
- ImmunologyHematologyGenetics
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Irving L. Weissman
820 papers receiving 128.4k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Molecular Biology 59.2k
- Immunology 47.2k
- Oncology 30.0k
- Hematology 24.6k
- Genetics 17.0k
Countries citing papers authored by Irving L. Weissman
This map shows the geographic impact of Irving 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 Irving 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 Irving L. Weissman more than expected).
Fields of papers citing papers by Irving L. Weissman
This network shows the impact of papers produced by Irving 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 Irving L. Weissman. The network helps show where Irving L. Weissman may publish in the future.
Co-authorship network of co-authors of Irving L. Weissman
This figure shows the co-authorship network connecting the top 25 collaborators of Irving L. Weissman. A scholar is included among the top collaborators of Irving 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 Irving L. Weissman. Irving 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 | 75 | |
| 2 | 59 | |
| 3 | 43 | |
| 4 | 30 | |
| 5 | 10 | |
| 6 | New tools for studying microglia in the mouse and human CNSbreakdown → | 1298 |
| 7 | 43 | |
| 8 | 19 | |
| 9 | Identification and isolation of a dermal lineage with intrinsic fibrogenic potentialbreakdown → | 492 |
| 10 | 35 | |
| 11 | 99 | |
| 12 | 376 | |
| 13 | Functionally distinct hematopoietic stem cells modulate hematopoietic lineage potential during aging by a mechanism of clonal expansionbreakdown → | 506 |
| 14 | 96 | |
| 15 | 362 | |
| 16 | 108 | |
| 17 | 75 | |
| 18 | 96 | |
| 19 | Little Evidence for Developmental Plasticity of Adult Hematopoietic Stem Cellsbreakdown → | 1116 |
| 20 | Flk-2 is a marker in hematopoietic stem cell differentiation: A simple method to isolate long-term stem cellsbreakdown → | 579 |
About Irving L. Weissman
Irving L. Weissman is a scholar working on Immunology, Hematology and Genetics, having authored 836 papers that have together received 131.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (150 papers), Hematopoietic Stem Cell Transplantation (150 papers) and T-cell and B-cell Immunology (145 papers). The work is most often cited by research in Immunology (47.2k citations), Hematology (24.6k citations) and Genetics (17.0k citations). Irving L. Weissman has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Sean J. Morrison, Michael F. Clarke, Tannishtha Reya, Amy J. Wagers, Koichi Akashi, Eugene C. Butcher, Ravindra Majeti, Derrick J. Rossi, Toshihiro Miyamoto and Julie L. Christensen. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.