Lori Ishizawa
- Hematology top 5%
- Immunology
- Genetics top 10%
- Molecular Biology
- Genetics
- Co-authors
- Ping‐Yee LawChristie M. TraycoffEdward F. SrourJohn C. OlsenDavid A. WilcoxMichael GriffithGilbert WhiteJ Brandt
- Topics
- Mesenchymal stem cell research (6 papers)Hematopoietic Stem Cell Transplantation (5 papers)Virus-based gene therapy research (3 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United States
In The Last Decade
Lori Ishizawa
16 papers receiving 397 citations
Peers
Comparison fields: 5 of 56
- Hematology 254
- Immunology 111
- Genetics 82
- Molecular Biology 78
- Genetics 64
Countries citing papers authored by Lori Ishizawa
This map shows the geographic impact of Lori Ishizawa'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 Lori Ishizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori Ishizawa more than expected).
Fields of papers citing papers by Lori Ishizawa
This network shows the impact of papers produced by Lori Ishizawa. 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 Lori Ishizawa. The network helps show where Lori Ishizawa may publish in the future.
Co-authorship network of co-authors of Lori Ishizawa
This figure shows the co-authorship network connecting the top 25 collaborators of Lori Ishizawa. A scholar is included among the top collaborators of Lori Ishizawa 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 Lori Ishizawa. Lori Ishizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 35 | |
| 4 | 43 | |
| 5 | 22 | |
| 6 | IL-11 in combination with SLF and G-CSF or GM-CSF significantly increases expansion of isolated CD34+ cell population from cord blood vs. adult bone marrow. | 31 |
| 7 | Separation of clinical quantities of CD34+ cells from human marrow using immunomagnetic procedures. | 4 |
| 8 | Evaluation of the in vitro behavior of phenotypically defined populations of umbilical cord blood hematopoietic progenitor cells. | 107 |
| 9 | 18 | |
| 10 | 15 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | Development of a large-scale immunomagnetic separation system for harvesting CD34-positive cells from bone marrow. | 11 |
| 15 | Large-scale immunomagnetic separation system for the removal of tumor cells from bone marrow. | 5 |
| 16 | 57 |
About Lori Ishizawa
Lori Ishizawa is a scholar working on Hematology, Genetics and Immunology and Allergy, having authored 16 papers that have together received 409 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Hematology (254 citations), Genetics (82 citations) and Immunology (111 citations). Lori Ishizawa has collaborated with scholars based in United States. Frequent co-authors include Ping‐Yee Law, Christie M. Traycoff, Edward F. Srour, John C. Olsen, David A. Wilcox, Michael Griffith, Gilbert White, J Brandt, Michelle Abboud and J Laver. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Virology.
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.