L.B. To

1.9k citations
8 papers · 267 · h-index 7

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 5
    • Blood groups and transfusion 1
    • Chronic Myeloid Leukemia Treatments 1
    • Mesenchymal stem cell research 3
    • Virus-based gene therapy research 2

L.B. To

8 papers receiving 259 citations

Peers

L.B. To
Comparison fields: 5 of 39
  • Hematology 206
  • Genetics 111
  • Oncology 102
  • Rheumatology 53
  • Immunology 48
Replace Gaku Oshikawa with:
Gaku Oshikawa Japan
Anna Lübking Sweden
Maria Gracia Gonzalez Spain
Rebecca Austin Australia
Michael J. Keating United States
Pilar Perez Abellan United Kingdom
Emilia Scalzulli Italy
Ch. M. Zwaan Netherlands
Sathej Gopalakrishnan United States
L.B. To relative to Gaku Oshikawa Japan Gaku Oshikawa's profile →
Citations per field
00.5×1.5×1.8×
Gaku Oshikawa · 1×
Citations per year

Countries citing papers authored by L.B. To

Since Specialization
Citations

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

Fields of papers citing papers by L.B. To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.B. To. 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 L.B. To. The network helps show where L.B. To may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008154
2 199827
3 199627
4 200320
5 199716
6 199912
7 19949
8 19982

About L.B. To

L.B. To is a scholar working on Hematology, Genetics, Oncology, Genetics and Immunology, having authored 8 papers that have together received 267 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (3 papers), Cancer Cells and Metastasis (2 papers), Virus-based gene therapy research (2 papers), Neutropenia and Cancer Infections (2 papers), Mast cells and histamine (1 paper), Blood groups and transfusion (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (206 citations), Genetics (111 citations), Oncology (102 citations), Rheumatology (53 citations) and Immunology (48 citations). L.B. To has collaborated with scholars based in Australia, United Kingdom and Japan. Frequent co-authors include Sharad Kumar, Timothy P. Hughes, Deborah L. White, Verity A Saunders, Phuong Dang, Laura N Eadie, Devendra Hiwase, D. Hewett, Amity Frede and Stephanie Zrim. Their work appears in journals such as Vox Sanguinis, British Journal of Haematology, Journal of Clinical Oncology, Clinical Cancer Research and Proceedings of the National Academy of Sciences.

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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