L.B. To

1.9k citations
8 papers · 268 · 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 4
    • Acute Myeloid Leukemia Research 1
    • Chronic Myeloid Leukemia Treatments 1
    • Mesenchymal stem cell research 3
    • Virus-based gene therapy research 1
    • Blood disorders and treatments 1

L.B. To

8 papers receiving 260 citations

Peers

L.B. To
Comparison fields: 5 of 36
  • Hematology 184
  • Genetics 100
  • Oncology 88
  • Rheumatology 48
  • Immunology 42
Replace Martine Klausmann with:
Martine Klausmann Germany
Raimondo Ferrara Italy
Caterina Stefanizzi Italy
Olga Mulas Italy
Emilia Scalzulli Italy
Michael J. Keating United States
D. Snyder United States
Janna Rudolph Germany
Peter Rohoň Czechia
JM Goldman United Kingdom
L.B. To relative to Martine Klausmann Germany Martine Klausmann's profile →
Citations per field
00.5×
Martine Klausmann · 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 199628
3 199827
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 Molecular Biology, having authored 8 papers that have together received 268 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Mesenchymal stem cell research (3 papers), Cancer Cells and Metastasis (2 papers), Neutropenia and Cancer Infections (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Virus-based gene therapy research (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Hematology (184 citations), Genetics (100 citations), Oncology (88 citations), Rheumatology (48 citations) and Immunology (42 citations). L.B. To has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Deborah L. White, Laura N Eadie, Verity A Saunders, Phuong Dang, Stephanie Zrim, Devendra Hiwase, Sharad Kumar, D. Hewett, Timothy P. Hughes and Junia V. Melo. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Proceedings of the National Academy of Sciences, Vox Sanguinis and Annals of 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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