Ruby M. Wong
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 16
- Hematopoietic Stem Cell Transplantation 16
-
- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Karl G. Blume (17 shared papers)Robert S. Negrin (19 shared papers)Wendy W. Hu (7 shared papers)Judith A. Shizuru (14 shared papers)Laura Johnston (15 shared papers)Sandra J. Horning (8 shared papers)Keith E Stockerl-Goldstein (12 shared papers)Gwynn Douglas Long (9 shared papers)
- Journals
- Transplantation and Cellular Therapy (13 papers)Blood (7 papers)Cancer (2 papers)New England Journal of Medicine (2 papers)Experimental Hematology (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Ruby M. Wong
35 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Hematology 899
- Pathology and Forensic Medicine 520
- Transplantation 70
- Genetics 279
- Immunology 530
Countries citing papers authored by Ruby M. Wong
This map shows the geographic impact of Ruby M. Wong'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 Ruby M. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby M. Wong more than expected).
Fields of papers citing papers by Ruby M. Wong
This network shows the impact of papers produced by Ruby M. Wong. 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 Ruby M. Wong. The network helps show where Ruby M. Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby M. Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 253 | |
| 2 | 1997 | 246 | |
| 3 | 1993 | 229 | |
| 4 | 2003 | 176 | |
| 5 | 2011 | 123 | |
| 6 | 1997 | 122 | |
| 7 | 2007 | 113 | |
| 8 | 2008 | 109 | |
| 9 | 1999 | 103 | |
| 10 | 2008 | 91 | |
| 11 | 2000 | 86 | |
| 12 | 2004 | 70 | |
| 13 | 1999 | 58 | |
| 14 | 2000 | 57 | |
| 15 | 2004 | 52 | |
| 16 | 2001 | 48 | |
| 17 | 2003 | 43 | |
| 18 | 1977 | 42 | |
| 19 | Influence of preparatory regimen and source of hematopoietic cells on outcome of autotransplantation for non-Hodgkin's lymphoma. | 1996 | 40 |
| 20 | 2015 | 40 |
About Ruby M. Wong
Ruby M. Wong is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Immunology and Transplantation, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Lung Cancer Research Studies (3 papers), Viral-associated cancers and disorders (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Hematology (899 citations), Pathology and Forensic Medicine (520 citations), Transplantation (70 citations), Genetics (279 citations) and Immunology (530 citations). Ruby M. Wong has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Karl G. Blume, Robert S. Negrin, Wendy W. Hu, Judith A. Shizuru, Laura Johnston, Sandra J. Horning, Keith E Stockerl-Goldstein, Gwynn Douglas Long, Nelson Jen An Chao and Ann M. Arvin. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, Cancer, New England Journal of Medicine and Experimental Hematology.
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.