Joycelyn Sim
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in ⓘ
- Hematology 16
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 5
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Xiao‐Jun Huang (1 shared paper)Florent Malard (1 shared paper)Yok‐Lam Kwong (13 shared papers)Chor Sang Chim (7 shared papers)Eric Tse (7 shared papers)Raymond Liang (3 shared papers)Chi-Chung Chan (1 shared paper)Bonnie Kho (4 shared papers)
- Journals
- Annals of Hematology (6 papers)Blood (1 paper)Clinical Kidney Journal (1 paper)Transfusion (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Joycelyn Sim
16 papers receiving 288 citations
Peers
Comparison fields: 5 of 45
- Hematology 199
- Genetics 117
- Transplantation 12
- Rheumatology 41
- Biochemistry 13
Countries citing papers authored by Joycelyn Sim
This map shows the geographic impact of Joycelyn Sim'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 Joycelyn Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joycelyn Sim more than expected).
Fields of papers citing papers by Joycelyn Sim
This network shows the impact of papers produced by Joycelyn Sim. 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 Joycelyn Sim. The network helps show where Joycelyn Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Joycelyn Sim, 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 | 2020 | 90 | |
| 2 | 2005 | 83 | |
| 3 | 2014 | 21 | |
| 4 | 2013 | 17 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2011 | 13 | |
| 8 | 2012 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 5 | |
| 11 | 2010 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2021 | 3 | |
| 14 | BCR-ABL mutational studies for predicting the response of patients with chronic myeloid leukaemia to second-generation tyrosine kinase inhibitors after imatinib failure. | 2009 | 2 |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2020 | 0 |
About Joycelyn Sim
Joycelyn Sim is a scholar working on Hematology, Transplantation, Genetics, Oncology and Biochemistry, having authored 19 papers that have together received 292 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Multiple Myeloma Research and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Peptidase Inhibition and Analysis (3 papers), Protein Degradation and Inhibitors (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (199 citations), Genetics (117 citations), Transplantation (12 citations), Rheumatology (41 citations) and Biochemistry (13 citations). Joycelyn Sim has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiao‐Jun Huang, Florent Malard, Yok‐Lam Kwong, Chor Sang Chim, Eric Tse, Raymond Liang, Chi-Chung Chan, Bonnie Kho, Joyce Chan and Martin Law. Their work appears in journals such as Annals of Hematology, Blood, Clinical Kidney Journal, Transfusion and Bone Marrow Transplantation.
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.