Bik To
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Otorhinolaryngology top 10%
Papers in
-
- Multiple Myeloma Research and Treatments 3
- Chronic Myeloid Leukemia Treatments 2
- Oncology 6
- Peptidase Inhibition and Analysis 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Kate Cameron (1 shared paper)Ian Olver (1 shared paper)Sally Borbasi (1 shared paper)C. Glenn Begley (2 shared papers)David J. Evans (1 shared paper)Jeff Szer (5 shared papers)Andrew Grigg (2 shared papers)Timothy P. Hughes (2 shared papers)
- Journals
- Blood (3 papers)Bone Marrow Transplantation (2 papers)Journal of Clinical Oncology (1 paper)Transplantation (1 paper)Hematological Oncology (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Bik To
18 papers receiving 450 citations
Peers
Comparison fields: 5 of 56
- Hematology 162
- Otorhinolaryngology 27
- Pathology and Forensic Medicine 102
- Immunology 119
- Oncology 140
Countries citing papers authored by Bik To
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 93 | |
| 2 | 2004 | 75 | |
| 3 | 2006 | 71 | |
| 4 | 2002 | 65 | |
| 5 | 1997 | 56 | |
| 6 | 2014 | 23 | |
| 7 | Myeloid leukaemia treatment and survival--the South Australian experience, 1977 to 2002. | 2006 | 12 |
| 8 | 2015 | 11 | |
| 9 | 2015 | 11 | |
| 10 | 2004 | 11 | |
| 11 | 1998 | 10 | |
| 12 | 2015 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2014 | 5 | |
| 15 | An incremental response to high-dose therapy in multiple myeloma. | 1996 | 4 |
| 16 | 2010 | 2 | |
| 17 | 2000 | 2 | |
| 18 | 2002 | 2 |
About Bik To
Bik To is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 18 papers that have together received 467 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers), Peptidase Inhibition and Analysis (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Foreign Body Medical Cases (1 paper). The work is most often cited by research in Hematology (162 citations), Otorhinolaryngology (27 citations), Pathology and Forensic Medicine (102 citations), Immunology (119 citations) and Oncology (140 citations). Bik To has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Kate Cameron, Ian Olver, Sally Borbasi, C. Glenn Begley, David J. Evans, Jeff Szer, Andrew Grigg, Timothy P. Hughes, Anthony P. Schwarer and Peter Bardy. Their work appears in journals such as Blood, Bone Marrow Transplantation, Journal of Clinical Oncology, Transplantation and Hematological 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.