Ju Dong Yang
Impact in
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 114
- Hepatocellular Carcinoma Treatment and Prognosis 85
- Liver Disease and Transplantation 18
- Hepatitis C virus research 17
- Epidemiology 85
- Liver Disease Diagnosis and Treatment 72
- Hepatitis B Virus Studies 23
- Co-authors
- Lewis Rowland Roberts (64 shared papers)Gregory James Gores (27 shared papers)Amelie Plymoth (2 shared papers)Pierre L. Hainaut (1 shared paper)Amina Amadou (1 shared paper)Julie K. Heimbach (6 shared papers)Ikuo Nakamura (3 shared papers)Amit G. Singal (46 shared papers)
- Journals
- Hepatology (29 papers)Clinical Gastroenterology and Hepatology (19 papers)The American Journal of Gastroenterology (14 papers)Clinical and Molecular Hepatology (11 papers)Hepatology Communications (11 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ju Dong Yang
283 papers receiving 28.6k citations
Ju Dong Yang's Hit Papers
Peers
Comparison fields: 5 of 177
- Hepatology 4.9k
- Cancer Research 6.6k
- Health Informatics 382
- Oncology 5.2k
- Molecular Biology 10.7k
Countries citing papers authored by Ju Dong Yang
This map shows the geographic impact of Ju Dong Yang'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 Ju Dong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Dong Yang more than expected).
Fields of papers citing papers by Ju Dong Yang
This network shows the impact of papers produced by Ju Dong Yang. 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 Ju Dong Yang. The network helps show where Ju Dong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Dong Yang, 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 302 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global view of hepatocellular carcinoma: trends, risk, prevention and management Hit paper breakdown → | 2019 | 3215 |
| 2 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 3 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 4 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 5 | Hepatocellular carcinoma: a global view Hit paper breakdown → | 2010 | 1121 |
| 6 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 7 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 8 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 9 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 10 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 11 | Integrative Genomic Analysis of Cholangiocarcinoma Identifies Distinct IDH-Mutant Molecular Profiles Hit paper breakdown → | 2017 | 508 |
| 12 | 2023 | 487 | |
| 13 | Global incidence and prevalence of nonalcoholic fatty liver disease Hit paper breakdown → | 2022 | 468 |
| 14 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 15 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 16 | 2018 | 392 | |
| 17 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 372 |
| 18 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 372 |
| 19 | 2018 | 339 | |
| 20 | 2010 | 325 |
About Ju Dong Yang
Ju Dong Yang is a scholar working on Hepatology, Epidemiology, Cancer Research, Oncology and Surgery, having authored 302 papers that have together received 28.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (85 papers), Liver Disease Diagnosis and Treatment (72 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers), Cancer Genomics and Diagnostics (25 papers), Hepatitis B Virus Studies (23 papers), Liver Disease and Transplantation (18 papers), Hepatitis C virus research (17 papers) and Pancreatic and Hepatic Oncology Research (15 papers). The work is most often cited by research in Hepatology (4.9k citations), Cancer Research (6.6k citations), Health Informatics (382 citations), Oncology (5.2k citations) and Molecular Biology (10.7k citations). Ju Dong Yang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lewis Rowland Roberts, Gregory James Gores, Amelie Plymoth, Pierre L. Hainaut, Amina Amadou, Julie K. Heimbach, Ikuo Nakamura, Amit G. Singal, W. Ray Kim and Terry M. Therneau. Their work appears in journals such as Hepatology, Clinical Gastroenterology and Hepatology, The American Journal of Gastroenterology, Clinical and Molecular Hepatology and Hepatology Communications.
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.