Stewart D. Lyman
- Immunology top 0.2%
- Molecular Biology top 2%
- Hematology top 0.2%
- Oncology top 2%
- Genetics top 2%
- Co-authors
- Douglas E. WilliamsSten Eirik W. JacobsenCarl J. MarchKenneth BraselEugene MaraskovskyDavid CosmanMark TeepeEileen R. Roux
- Topics
- Hematopoietic Stem Cell Transplantation (26 papers)Immune Cell Function and Interaction (18 papers)T-cell and B-cell Immunology (13 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Stewart D. Lyman
78 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 4.5k
- Molecular Biology 2.8k
- Hematology 2.3k
- Oncology 1.5k
- Genetics 1000
Countries citing papers authored by Stewart D. Lyman
This map shows the geographic impact of Stewart D. Lyman'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 Stewart D. Lyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stewart D. Lyman more than expected).
Fields of papers citing papers by Stewart D. Lyman
This network shows the impact of papers produced by Stewart D. Lyman. 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 Stewart D. Lyman. The network helps show where Stewart D. Lyman may publish in the future.
Co-authorship network of co-authors of Stewart D. Lyman
This figure shows the co-authorship network connecting the top 25 collaborators of Stewart D. Lyman. A scholar is included among the top collaborators of Stewart D. Lyman 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 Stewart D. Lyman. Stewart D. Lyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 45 | |
| 4 | 11 | |
| 5 | 25 | |
| 6 | 39 | |
| 7 | Flt3 ligand is prestored in t-lymphocytes and is released in response to chemotherapy-induced stem cell depletion | 2 |
| 8 | 34 | |
| 9 | 15 | |
| 10 | 57 | |
| 11 | Flt3 ligand level reflects hematopoietic progenitor cell function in multilineage bone marrow failure | 4 |
| 12 | 81 | |
| 13 | Dramatic increase in the numbers of functionally mature dendritic cells in Flt3 ligand-treated mice: multiple dendritic cell subpopulations identified.breakdown → | 934 |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 25 | |
| 17 | 19 | |
| 18 | 412 | |
| 19 | 363 | |
| 20 | 424 |
About Stewart D. Lyman
Stewart D. Lyman is a scholar working on Hematology, Immunology and Oncology, having authored 78 papers that have together received 8.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (13 papers). The work is most often cited by research in Immunology (4.5k citations), Hematology (2.3k citations) and Immunology and Allergy (530 citations). Stewart D. Lyman has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Douglas E. Williams, Sten Eirik W. Jacobsen, Carl J. March, Kenneth Brasel, Eugene Maraskovsky, David Cosman, Mark Teepe, Eileen R. Roux, H. Scott Boswell and Ken Shortman. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.