Ruby M. Wong

2.8k citations
35 papers · 2.2k · h-index 23

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 16
    • Viral-associated cancers and disorders 3
    • Lung Cancer Research Studies 3

Ruby M. Wong

35 papers receiving 2.1k citations

Peers

Ruby M. Wong
Comparison fields: 5 of 84
  • Hematology 849
  • Pathology and Forensic Medicine 475
  • Transplantation 67
  • Genetics 250
  • Immunology 505
Replace Hisashi Gondo with:
Hisashi Gondo Japan
David Boutboul France
Premini Mahendra United Kingdom
Jean‐François Viallard France
Roberto Crocchiolo Italy
Ibrahim Aldoss United States
R Powles United Kingdom
Alfred P. Gillio United States
H. Kolb Germany
Patrizia Barozzi Italy
Ruby M. Wong relative to Hisashi Gondo Japan Hisashi Gondo's profile →
Citations per field
00.5×1.5×
Hisashi Gondo · 1×
Citations per year

Countries citing papers authored by Ruby M. Wong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ruby M. Wong Line = papers co-authored together Ruby M. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002237
2 1997228
3 1993221
4 2003163
5 1997116
6 2011112
7 2007109
8 1999103
9 2008102
10 200083
11 200883
12 200465
13 199958
14 200054
15 200452
16 200146
17 197742
18 200341
19
Influence of preparatory regimen and source of hematopoietic cells on outcome of autotransplantation for non-Hodgkin's lymphoma.
199639
20 200037

About Ruby M. Wong

Ruby M. Wong is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 2.2k 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), Viral-associated cancers and disorders (3 papers), Herpesvirus Infections and Treatments (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Hematology (849 citations), Pathology and Forensic Medicine (475 citations), Transplantation (67 citations), Genetics (250 citations) and Immunology (505 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 Hu, Judith A. Shizuru, Laura Johnston, Keith Stockerl‐Goldstein, Sandra J. Horning, Gwynn D. Long, Nelson J. Chao and Ann M. Arvin. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Experimental Hematology, New England Journal of Medicine and Cancer.

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.

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