Wee Joo Chng
Impact in
- Hematology top 0.1%
- Multiple Myeloma Research and Treatments
- Oncology top 0.5%
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 81
- Ubiquitin and proteasome pathways 34
- Histone Deacetylase Inhibitors Research 26
- Hematology 207
- Multiple Myeloma Research and Treatments 158
- Acute Myeloid Leukemia Research 38
- Co-authors
- Jianbiao Zhou (58 shared papers)Rafaël Fonseca (40 shared papers)Siok‐Bian Ng (35 shared papers)Chonglei Bi (27 shared papers)Phaik Ju Teoh (14 shared papers)P. Leif Bergsagel (19 shared papers)Angela Dispenzieri (15 shared papers)Tae‐Hoon Chung (35 shared papers)
- Journals
- Blood (89 papers)Oncotarget (14 papers)Leukemia (14 papers)Cancer Research (11 papers)Blood Cancer Journal (11 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Wee Joo Chng
368 papers receiving 11.7k citations
Wee Joo Chng's Hit Papers
Peers
Comparison fields: 5 of 161
- Hematology 4.0k
- Oncology 3.3k
- Cancer Research 1.4k
- Molecular Biology 6.7k
- Genetics 922
Countries citing papers authored by Wee Joo Chng
This map shows the geographic impact of Wee Joo Chng'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 Wee Joo Chng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wee Joo Chng more than expected).
Fields of papers citing papers by Wee Joo Chng
This network shows the impact of papers produced by Wee Joo Chng. 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 Wee Joo Chng. The network helps show where Wee Joo Chng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wee Joo Chng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 394 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IMWG consensus on risk stratification in multiple myeloma Hit paper breakdown → | 2013 | 431 |
| 2 | Enabling Technologies for Personalized and Precision Medicine Hit paper breakdown → | 2020 | 329 |
| 3 | 2006 | 312 | |
| 4 | 2012 | 308 | |
| 5 | 2017 | 292 | |
| 6 | 2008 | 277 | |
| 7 | 2008 | 215 | |
| 8 | 2021 | 208 | |
| 9 | 2014 | 205 | |
| 10 | 2007 | 203 | |
| 11 | 2011 | 188 | |
| 12 | 2013 | 162 | |
| 13 | 2006 | 160 | |
| 14 | 2012 | 147 | |
| 15 | 2013 | 141 | |
| 16 | 2007 | 140 | |
| 17 | 2009 | 139 | |
| 18 | 2010 | 138 | |
| 19 | 2013 | 137 | |
| 20 | 2021 | 134 |
About Wee Joo Chng
Wee Joo Chng is a scholar working on Molecular Biology, Hematology, Oncology, Pathology and Forensic Medicine and Immunology, having authored 394 papers that have together received 11.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (158 papers), Protein Degradation and Inhibitors (81 papers), Acute Myeloid Leukemia Research (38 papers), Lymphoma Diagnosis and Treatment (35 papers), Ubiquitin and proteasome pathways (34 papers), Peptidase Inhibition and Analysis (30 papers), Histone Deacetylase Inhibitors Research (26 papers) and Chronic Lymphocytic Leukemia Research (26 papers). The work is most often cited by research in Hematology (4.0k citations), Oncology (3.3k citations), Cancer Research (1.4k citations), Molecular Biology (6.7k citations) and Genetics (922 citations). Wee Joo Chng has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Jianbiao Zhou, Rafaël Fonseca, Siok‐Bian Ng, Chonglei Bi, Phaik Ju Teoh, P. Leif Bergsagel, Angela Dispenzieri, Tae‐Hoon Chung, Sanjay De Mel and Qiang Yu. Their work appears in journals such as Blood, Oncotarget, Leukemia, Cancer Research and Blood Cancer 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.