Lora W. Barsky
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 14
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 4
- Immunology 11
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 5
- Co-authors
- Kenneth I. WeinbergGay M. CrooksJudy ZhuDavid WarburtonQian‐Lin HaoBarbara DriscollNoboru MitsuhashiGordon D. Wu
- Journals
- Blood (10 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (8 papers)The Journal of Immunology (4 papers)Stem Cells (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Lora W. Barsky
39 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Hematology 419
- Genetics 340
- Immunology 531
- Immunology and Allergy 141
- Hepatology 112
Countries citing papers authored by Lora W. Barsky
This map shows the geographic impact of Lora W. Barsky'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 Lora W. Barsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora W. Barsky more than expected).
Fields of papers citing papers by Lora W. Barsky
This network shows the impact of papers produced by Lora W. Barsky. 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 Lora W. Barsky. The network helps show where Lora W. Barsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Lora W. Barsky, 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 | 2015 | 21 | |
| 2 | 2013 | 3 | |
| 3 | 2008 | 29 | |
| 4 | 2007 | 27 | |
| 5 | 2007 | 29 | |
| 6 | 2007 | 103 | |
| 7 | 2006 | 47 | |
| 8 | 2005 | 18 | |
| 9 | 2005 | 332 | |
| 10 | 2005 | 33 | |
| 11 | 2004 | 28 | |
| 12 | 2003 | 45 | |
| 13 | 2002 | 163 | |
| 14 | 2002 | 38 | |
| 15 | 2001 | 33 | |
| 16 | 2001 | 96 | |
| 17 | 2000 | 17 | |
| 18 | 1999 | 21 | |
| 19 | 1999 | 32 | |
| 20 | 1998 | 94 |
About Lora W. Barsky
Lora W. Barsky is a scholar working on Hematology, Immunology, Immunology and Allergy, Genetics and Cancer Research, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), T-cell and B-cell Immunology (7 papers), Neonatal Respiratory Health Research (6 papers), Immunotherapy and Immune Responses (5 papers), Acute Myeloid Leukemia Research (4 papers), Mesenchymal stem cell research (4 papers), Cancer-related Molecular Pathways (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Hematology (419 citations), Genetics (340 citations), Immunology (531 citations), Immunology and Allergy (141 citations) and Hepatology (112 citations). Lora W. Barsky has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Kenneth I. Weinberg, Gay M. Crooks, Judy Zhu, David Warburton, Qian‐Lin Hao, Barbara Driscoll, Noboru Mitsuhashi, Gordon D. Wu, Kimberly J. Payne and Hui Zhu. Their work appears in journals such as Blood, American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Immunology, Stem Cells 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.