Chor Sang Chim
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments 65
- Acute Myeloid Leukemia Research 38
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 52
- Oncology top 1%
- Viral-associated cancers and disorders 31
- Cancer Research top 1%
- MicroRNA in disease regulation 20
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 23
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- Epigenetics and DNA Methylation 34
- Protein Degradation and Inhibitors 24
- Co-authors
- Yok‐Lam KwongRaymond LiangKwan Yeung WongCarolyn ChoyWing‐Yan AuEric TseAnskar Y.H. LeungAnnie Pang
- Journals
- Journal of Clinical Oncology (20 papers)British Journal of Haematology (15 papers)American Journal of Hematology (15 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chor Sang Chim
231 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Hematology 2.3k
- Pathology and Forensic Medicine 2.1k
- Oncology 2.5k
- Cancer Research 1.3k
- Genetics 866
Countries citing papers authored by Chor Sang Chim
This map shows the geographic impact of Chor Sang Chim'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 Chor Sang Chim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chor Sang Chim more than expected).
Fields of papers citing papers by Chor Sang Chim
This network shows the impact of papers produced by Chor Sang Chim. 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 Chor Sang Chim. The network helps show where Chor Sang Chim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chor Sang Chim, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 0 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 15 | |
| 13 | 2015 | 17 | |
| 14 | 2014 | 18 | |
| 15 | IMWG consensus on risk stratification in multiple myelomabreakdown → | 2013 | 413 |
| 16 | 2001 | 1 | |
| 17 | 2001 | 48 | |
| 18 | 2001 | 5 | |
| 19 | 1998 | 10 | |
| 20 | Unrelated marrow donor registry for Chinese. | 1997 | 2 |
About Chor Sang Chim
Chor Sang Chim is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 240 papers that have together received 6.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (65 papers), Lymphoma Diagnosis and Treatment (52 papers), Acute Myeloid Leukemia Research (38 papers), Epigenetics and DNA Methylation (34 papers), Viral-associated cancers and disorders (31 papers), Protein Degradation and Inhibitors (24 papers), Chronic Lymphocytic Leukemia Research (23 papers) and MicroRNA in disease regulation (20 papers). The work is most often cited by research in Hematology (2.3k citations), Pathology and Forensic Medicine (2.1k citations) and Oncology (2.5k citations). Chor Sang Chim has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yok‐Lam Kwong, Raymond Liang, Kwan Yeung Wong, Carolyn Choy, Wing‐Yan Au, Eric Tse, Anskar Y.H. Leung, Annie Pang, Albert K. W. Lie and G.C. Ooi. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, American Journal of Hematology, Hematological Oncology and Journal of Clinical Pathology.
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.