Michelle Ng
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
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- RNA Research and Splicing 2
- Cell death mechanisms and regulation 2
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- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 2
- NF-κB Signaling Pathways 2
- Co-authors
- Wen‐Chen Yeh (3 shared papers)Andrew Elia (2 shared papers)Andrew Wakeham (2 shared papers)David V. Goeddel (2 shared papers)Tak W. Mak (2 shared papers)Hong‐Bing Shu (2 shared papers)Arda Shahinian (2 shared papers)Scott W. Lowe (1 shared paper)
- Journals
- Blood (2 papers)Immunity (2 papers)iScience (1 paper)BMC Cancer (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michelle Ng
18 papers receiving 1.7k citations
Michelle Ng's Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 705
- Cancer Research 465
- Molecular Biology 1.4k
- Oncology 267
- Business and International Management 15
Countries citing papers authored by Michelle Ng
This map shows the geographic impact of Michelle Ng'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 Michelle Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Ng more than expected).
Fields of papers citing papers by Michelle Ng
This network shows the impact of papers produced by Michelle Ng. 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 Michelle Ng. The network helps show where Michelle Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Ng, 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 | FADD: Essential for Embryo Development and Signaling from Some, But Not All, Inducers of Apoptosis Hit paper breakdown → | 1998 | 759 |
| 2 | 2000 | 409 | |
| 3 | Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applications Hit paper breakdown → | 2017 | 196 |
| 4 | 1999 | 121 | |
| 5 | 2017 | 62 | |
| 6 | 2023 | 31 | |
| 7 | 2019 | 28 | |
| 8 | 2019 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 0 |
About Michelle Ng
Michelle Ng is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Acute Myeloid Leukemia Research (3 papers), Mycobacterium research and diagnosis (3 papers), Child Nutrition and Feeding Issues (2 papers), RNA Research and Splicing (2 papers), Cancer Genomics and Diagnostics (2 papers), NF-κB Signaling Pathways (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Immunology (705 citations), Cancer Research (465 citations), Molecular Biology (1.4k citations), Oncology (267 citations) and Business and International Management (15 citations). Michelle Ng has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Wen‐Chen Yeh, Andrew Elia, Andrew Wakeham, David V. Goeddel, Tak W. Mak, Hong‐Bing Shu, Arda Shahinian, Scott W. Lowe, Wafik S. El‐Deiry and José Luís de la Pompa. Their work appears in journals such as Blood, Immunity, iScience, BMC Cancer and Blood Advances.
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.