Lisa Wray

1.1k citations
22 papers · 415 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cytokine Signaling Pathways and Interactions
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Lisa Wray

18 papers receiving 412 citations

Peers

Lisa Wray
Comparison fields: 5 of 60
  • Oncology 256
  • Hematology 64
  • Public Health, Environmental and Occupational Health 97
  • Immunology 55
  • Cancer Research 33
Replace Ci Pan with:
Ci Pan China
Maaike de Bie Netherlands
Kayla L. Nguyen United States
Jean Pierre Marie France
Leandro S. Thiago Brazil
Gaetano Saggio Italy
Biljana Jekić Serbia
Anke Krause Germany
Maria Scalzone Italy
Yonggong Yang China
Lisa Wray relative to Ci Pan China Ci Pan's profile →
Citations per field
00.5×3.2×
Ci Pan · 1×
Citations per year

Countries citing papers authored by Lisa Wray

Since Specialization
Citations

This map shows the geographic impact of Lisa Wray'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 Lisa Wray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Wray more than expected).

Fields of papers citing papers by Lisa Wray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Wray. 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 Lisa Wray. The network helps show where Lisa Wray may publish in the future.

Co-authors

The 25 scholars most cited alongside Lisa Wray, 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 Lisa Wray Line = papers co-authored together Lisa Wray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interleukin-6 -174G-->C polymorphism is associated with improved outcome in high-risk breast cancer.
2003134
2 202180
3 202166
4 200533
5 202014
6 202113
7 202413
8 202112
9 202012
10 201410
11 20199
12 20206
13 20234
14 20242
15 20212
16 20192
17 20152
18 20241
19 20230
20 20250

About Lisa Wray

Lisa Wray is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Pediatrics, Perinatology and Child Health and Genetics, having authored 22 papers that have together received 415 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Acute Lymphoblastic Leukemia research (9 papers), Hematopoietic Stem Cell Transplantation (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Safe Handling of Antineoplastic Drugs (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Oncology (256 citations), Hematology (64 citations), Public Health, Environmental and Occupational Health (97 citations), Immunology (55 citations) and Cancer Research (33 citations). Lisa Wray has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Angela DeMichele, Stephan A. Grupp, Shannon L. Maude, Allison Barz Leahy, Regina M. Myers, Amanda M. DiNofia, Rosemarie Mick, Yimei Li, Edward A. Stadtmauer and Anne-Marie Martin. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Biology of Blood and Marrow Transplantation, Blood Advances and Journal of Clinical Oncology.

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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