Bik To

570 citations
18 papers · 424 · h-index 10

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 3
    • Acute Myeloid Leukemia Research 2
    • Hematopoietic Stem Cell Transplantation 2
    • Chronic Myeloid Leukemia Treatments 2
    • Viral-associated cancers and disorders 2

Bik To

18 papers receiving 409 citations

Peers

Bik To
Comparison fields: 5 of 57
  • Hematology 159
  • Otorhinolaryngology 46
  • Oncology 169
  • Immunology 127
  • Genetics 55
Replace Y.S. Chae with:
Y.S. Chae South Korea
J.L. Pico France
Lokanatha Dasappa India
Sue Corringham United States
Elizabeth L. Courville United States
Öner Doğan Türkiye
Laura Stephanie Miller United States
Árpád Szomor Hungary
Jadwiga Małdyk Poland
László Váróczy Hungary
Bik To relative to Y.S. Chae South Korea Y.S. Chae's profile →
Citations per field
00.5×3.4×
Y.S. Chae · 1×
Citations per year

Countries citing papers authored by Bik To

Since Specialization
Citations

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

Fields of papers citing papers by Bik To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201377
2 200471
3 200665
4 200263
5 199754
6 201419
7 200411
8 201511
9 201511
10
Myeloid leukaemia treatment and survival--the South Australian experience, 1977 to 2002.
200611
11 20157
12 19985
13 20175
14
An incremental response to high-dose therapy in multiple myeloma.
19965
15 20143
16 20002
17 20022
18 20102

About Bik To

Bik To is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 424 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers), Acute Myeloid Leukemia Research (2 papers), Viral-associated cancers and disorders (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (159 citations), Otorhinolaryngology (46 citations), Oncology (169 citations), Immunology (127 citations) and Genetics (55 citations). Bik To has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include David Evans, Sally Borbasi, Kate Cameron, Ian Olver, C. Glenn Begley, Jeff Szer, Timothy P. Hughes, Peter Bardy, Andrew Grigg and Anthony P. Schwarer. Their work appears in journals such as Blood, Bone Marrow Transplantation, European Journal of Emergency Medicine, Journal of Clinical Oncology and The EMBO Journal.

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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