Mabel Teng
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
Papers in
- Hepatology 11
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Liver Disease and Transplantation 4
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- Philip J. JohnsonSarah BerhaneShinji SatomuraChiaki KagebayashiDaniel H. PalmerHelen L. ReevesHidenori ToyodaToshifumi Tada
- Journals
- British Journal of Cancer (4 papers)Journal of Clinical Oncology (4 papers)Nature Methods (2 papers)Chinese Journal of Cancer (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United KingdomJapanHong Kong
In The Last Decade
Mabel Teng
21 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Hepatology 1.9k
- Cancer Research 740
- Epidemiology 1.4k
- Oncology 703
- Biophysics 143
Countries citing papers authored by Mabel Teng
This map shows the geographic impact of Mabel Teng'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 Mabel Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mabel Teng more than expected).
Fields of papers citing papers by Mabel Teng
This network shows the impact of papers produced by Mabel Teng. 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 Mabel Teng. The network helps show where Mabel Teng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mabel Teng, 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 | 2022 | 10 | |
| 2 | 2017 | 45 | |
| 3 | Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity Hit paper breakdown → | 2016 | 510 |
| 4 | 2016 | 109 | |
| 5 | G&T-seq: parallel sequencing of single-cell genomes and transcriptomes Hit paper breakdown → | 2015 | 529 |
| 6 | 2014 | 39 | |
| 7 | 2014 | 8 | |
| 8 | 2014 | 23 | |
| 9 | 2014 | 8 | |
| 10 | Assessment of Liver Function in Patients With Hepatocellular Carcinoma: A New Evidence-Based Approach—The ALBI Grade Hit paper breakdown → | 2014 | 1788 |
| 11 | 2013 | 232 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2012 | 10 | |
| 15 | 2011 | 23 | |
| 16 | 2011 | 62 | |
| 17 | 2011 | 66 | |
| 18 | 2007 | 100 | |
| 19 | 2004 | 5 | |
| 20 | 2004 | 2 |
About Mabel Teng
Mabel Teng is a scholar working on Hepatology, Epidemiology, Cancer Research, Surgery and Pharmacology, having authored 21 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Single-cell and spatial transcriptomics (3 papers), Cancer, Lipids, and Metabolism (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hepatology (1.9k citations), Cancer Research (740 citations), Epidemiology (1.4k citations), Oncology (703 citations) and Biophysics (143 citations). Mabel Teng has collaborated with scholars based in United Kingdom, Japan and Hong Kong. Frequent co-authors include Philip J. Johnson, Sarah Berhane, Shinji Satomura, Chiaki Kagebayashi, Daniel H. Palmer, Helen L. Reeves, Hidenori Toyoda, Toshifumi Tada, Takashi Kumada and Richard Fox. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, Nature Methods, Chinese Journal of Cancer and Journal of Hepatology.
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.