Ruby M. Wong

2.8k citations
35 papers · 2.0k · h-index 22

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 18
    • Acute Myeloid Leukemia Research 3
    • Lung Cancer Research Studies 4
    • Viral-associated cancers and disorders 3

Ruby M. Wong

35 papers receiving 2.0k citations

Peers

Ruby M. Wong
Comparison fields: 5 of 85
  • Hematology 885
  • Transplantation 80
  • Pathology and Forensic Medicine 488
  • Genetics 274
  • Immunology 541
Replace Hisashi Gondo with:
Hisashi Gondo Japan
David Boutboul France
Premini Mahendra United Kingdom
Jean‐François Viallard France
Roberto Crocchiolo Italy
Isidro Jarque Spain
Edward Kanfer United Kingdom
H. Kolb Germany
Patrizia Barozzi Italy
François Lefrère France
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 1993211
2 1997206
3 2002205
4 2003158
5 2011112
6 2007105
7 1997100
8 200897
9 199992
10 200077
11 200877
12 200457
13 200054
14 199952
15 200450
16 200139
17 197739
18
Influence of preparatory regimen and source of hematopoietic cells on outcome of autotransplantation for non-Hodgkin's lymphoma.
199638
19 200336
20 201534

About Ruby M. Wong

Ruby M. Wong is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Immunology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Lymphoma Diagnosis and Treatment (10 papers), Acute Lymphoblastic Leukemia research (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Lung Cancer Research Studies (4 papers), Acute Myeloid Leukemia Research (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (885 citations), Transplantation (80 citations), Pathology and Forensic Medicine (488 citations), Genetics (274 citations) and Immunology (541 citations). Ruby M. Wong has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Karl G. Blume, Robert S. Negrin, Wendy Hu, Laura Johnston, Judith A. Shizuru, Keith Stockerl‐Goldstein, Gwynn D. Long, Sandra J. Horning, Nelson J. Chao and Ann M. Arvin. Their work appears in journals such as Biology of Blood and Marrow Transplantation, 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.

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