Chor Sang Chim

11.9k total citations · 1 hit paper
240 papers, 6.8k citations indexed

About

Chor Sang Chim is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Chor Sang Chim has authored 240 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Hematology, 105 papers in Molecular Biology and 74 papers in Oncology. Recurrent topics in Chor Sang Chim's work include Multiple Myeloma Research and Treatments (65 papers), Lymphoma Diagnosis and Treatment (52 papers) and Acute Myeloid Leukemia Research (38 papers). Chor Sang Chim is often cited by papers focused on Multiple Myeloma Research and Treatments (65 papers), Lymphoma Diagnosis and Treatment (52 papers) and Acute Myeloid Leukemia Research (38 papers). Chor Sang Chim collaborates with scholars based in China, Hong Kong and United States. Chor Sang Chim's co-authors include Yok‐Lam Kwong, Raymond Liang, Kwan Yeung Wong, Carolyn Choy, Wing‐Yan Au, Eric Tse, Anskar Y.H. Leung, Annie Pang, G.C. Ooi and Albert K. W. Lie and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Chor Sang Chim

231 papers receiving 6.7k citations

Hit Papers

IMWG consensus on risk st... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. IMWG consensus on risk stratification in multiple myeloma
    2013 413 citations Wee Joo Chng, Chor Sang Chim et al. Leukemia profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chor Sang Chim China 40 3.3k 2.5k 2.3k 2.1k 1.3k 240 6.8k
Dieter K. Hossfeld Germany 36 2.6k 0.8× 1.8k 0.7× 1.9k 0.8× 1.2k 0.6× 762 0.6× 165 6.1k
Martin Gramatzki Germany 46 2.1k 0.6× 2.5k 1.0× 1.8k 0.8× 1.2k 0.6× 610 0.5× 207 6.8k
Dina Ben‐Yehuda Israel 35 2.1k 0.6× 1.3k 0.5× 1.7k 0.7× 1.4k 0.6× 461 0.4× 124 4.8k
Andrew R. Belch Canada 49 3.9k 1.2× 4.4k 1.8× 4.1k 1.8× 1.6k 0.8× 353 0.3× 218 8.9k
Gerhard Heil Germany 38 2.1k 0.6× 2.2k 0.9× 4.2k 1.8× 1.4k 0.7× 716 0.6× 122 6.8k
Lorenz Trümper Germany 42 1.9k 0.6× 3.3k 1.3× 1.0k 0.4× 3.9k 1.9× 850 0.7× 203 7.5k
Hartmut Kirchner Germany 32 1.3k 0.4× 1.9k 0.8× 1.0k 0.4× 1.7k 0.8× 638 0.5× 117 5.0k
Gary Spitzer United States 44 1.3k 0.4× 3.0k 1.2× 3.3k 1.4× 1.6k 0.8× 599 0.5× 219 7.3k
Joseph O. Moore United States 42 1.8k 0.5× 1.9k 0.8× 3.3k 1.4× 997 0.5× 327 0.3× 148 6.6k
Lisa M. Rimsza United States 42 1.4k 0.4× 2.6k 1.0× 1.2k 0.5× 3.5k 1.7× 398 0.3× 199 6.2k

Countries citing papers authored by Chor Sang Chim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chor Sang Chim

This figure shows the co-authorship network connecting the top 25 collaborators of Chor Sang Chim. A scholar is included among the top collaborators of Chor Sang Chim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chor Sang Chim. Chor Sang Chim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Au, Chun Hang, Amy Wing-Sze Leung, Henry C. M. Leung, et al.. (2025). A multi-modal molecular characterization of the Philadelphia translocation featuring long read sequencing. Gene. 950. 149370–149370.
2.
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Lee, Harold, G. Lau, Sze Fai Yip, et al.. (2024). Prognostic factors in 448 newly diagnosed multiple myeloma receiving bortezomib-based induction: impact of ASCT, transplant refusal and high-risk MM. Bone Marrow Transplantation. 59(5). 660–669.
4.
Morgan, Gareth J., Shaji Kumar, Lisa L. P. Siu, et al.. (2022). The impact of bortezomib-based induction in newly diagnosed multiple myeloma with chromosome 1q21 gain. Therapeutic Advances in Hematology. 13. 1553999803–1553999803. 9 indexed citations
5.
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Chim, Chor Sang, et al.. (2021). 3-weekly daratumumab-lenalidomide/pomalidomide-dexamethasone is highly effective in relapsed and refractory multiple myeloma. Hematology. 26(1). 652–655. 3 indexed citations
7.
Călin, George A., et al.. (2020). Epigenetic silencing of miR-342-3p in B cell lymphoma and its impact on autophagy. Clinical Epigenetics. 12(1). 150–150. 14 indexed citations
8.
Wong, Kwan Yeung & Chor Sang Chim. (2020). Venetoclax, bortezomib and S63845, an MCL1 inhibitor, in multiple myeloma. Journal of Pharmacy and Pharmacology. 72(5). 728–737. 12 indexed citations
9.
Li, Zhenhai, Shaji Kumar, Dong‐Yan Jin, et al.. (2020). Epigenetic silencing of long non-coding RNA BM742401 in multiple myeloma: impact on prognosis and myeloma dissemination. Cancer Cell International. 20(1). 403–403. 13 indexed citations
10.
11.
Wong, Kwan Yeung, et al.. (2018). Frequent functional activation of RAS signalling not explained by RAS/RAF mutations in relapsed/refractory multiple myeloma. Scientific Reports. 8(1). 13522–13522. 10 indexed citations
12.
Li, Zhenhai, Kwan Yeung Wong, Gcf Chan, & Chor Sang Chim. (2017). Epigenetic silencing of LPP/miR-28 in multiple myeloma. Journal of Clinical Pathology. 71(3). 253–258. 15 indexed citations
13.
Kwong, YL, Annie Pang, Anskar Y.H. Leung, Chor Sang Chim, & Eric Tse. (2013). Quantification of circulating Epstein–Barr virus DNA in NK/T-cell lymphoma treated with the SMILE protocol: diagnostic and prognostic significance. Leukemia. 28(4). 865–870. 90 indexed citations
14.
Yim, Rita, Yok‐Lam Kwong, Kwan Yeung Wong, & Chor Sang Chim. (2012). DNA Methylation of Tumor Suppressive miRNAs in Non-Hodgkin’s Lymphomas. Frontiers in Genetics. 3. 233–233. 15 indexed citations
15.
Chim, Chor Sang, Yok‐Lam Kwong, & Raymond Liang. (2008). Gene Hypermethylation in Multiple Myeloma: Lessons from a Cancer Pathway Approach. Clinical Lymphoma & Myeloma. 8(6). 331–339. 28 indexed citations
16.
Chim, Chor Sang, et al.. (2006). Frequent DAP kinase but not p14 or Apaf-1 hypermethylation in B-cell chronic lymphocytic leukemia. Journal of Human Genetics. 51(9). 832–838. 23 indexed citations
17.
Chim, Chor Sang, et al.. (2004). Epigenetic dysregulation of the Jak/STAT pathway by frequent aberrant methylation of SHP1 but not SOCS1 in acute leukaemias. Annals of Hematology. 83(8). 527–32. 35 indexed citations
18.
Leung, Anskar Y.H., Chor Sang Chim, Pak‐Leung Ho, et al.. (2002). Candida tropicalis fungaemia in adult patients with haematological malignancies: clinical features and risk factors. Journal of Hospital Infection. 50(4). 316–319. 36 indexed citations
19.
Chim, Chor Sang, et al.. (2001). Methylation of p15 and p16 genes in adult acute leukemia. Cancer. 91(12). 2222–2229. 1 indexed citations
20.
Chim, Chor Sang, et al.. (2001). Methylation ofp15 andp16 genes in adult acute leukemia. Cancer. 91(12). 2222–2229. 48 indexed citations

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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