Ya Hu
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Nephrology 28
- Parathyroid Disorders and Treatments 28
- Oncology 21
- Pancreatic and Hepatic Oncology Research 18
- Co-authors
- Quan Liao (42 shared papers)Yupei Zhao (27 shared papers)Lei You (8 shared papers)Taiping Zhang (12 shared papers)Lianfang Zheng (5 shared papers)Ming Cui (22 shared papers)Mengyu Feng (4 shared papers)Gang Yang (4 shared papers)
- Journals
- Medicine (3 papers)Endocrine Practice (3 papers)Molecular Biology and Evolution (3 papers)Cancer Letters (3 papers)Journal of Experimental & Clinical Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ya Hu
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- Nephrology 331
- Cancer Research 286
- Oncology 390
- Genetics 307
- Molecular Biology 451
Countries citing papers authored by Ya Hu
This map shows the geographic impact of Ya Hu'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 Ya Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Hu more than expected).
Fields of papers citing papers by Ya Hu
This network shows the impact of papers produced by Ya Hu. 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 Ya Hu. The network helps show where Ya Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Hu, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 162 | |
| 2 | 2019 | 139 | |
| 3 | 2018 | 87 | |
| 4 | 2013 | 82 | |
| 5 | 2018 | 62 | |
| 6 | 2010 | 57 | |
| 7 | 2017 | 53 | |
| 8 | 2016 | 47 | |
| 9 | 2013 | 47 | |
| 10 | 2020 | 44 | |
| 11 | 2013 | 42 | |
| 12 | [Minimally invasive parathyroid surgery]. | 2015 | 37 |
| 13 | 2020 | 35 | |
| 14 | 2016 | 30 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2017 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2018 | 25 | |
| 20 | 2019 | 25 |
About Ya Hu
Ya Hu is a scholar working on Nephrology, Oncology, Molecular Biology, Genetics and Surgery, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (28 papers), Pancreatic and Hepatic Oncology Research (18 papers), Genetic Syndromes and Imprinting (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Pancreatitis Pathology and Treatment (5 papers), Thyroid and Parathyroid Surgery (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Nephrology (331 citations), Cancer Research (286 citations), Oncology (390 citations), Genetics (307 citations) and Molecular Biology (451 citations). Ya Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Quan Liao, Yupei Zhao, Lei You, Taiping Zhang, Lianfang Zheng, Ming Cui, Mengyu Feng, Gang Yang, Guangbing Xiong and Qiliang Ding. Their work appears in journals such as Medicine, Endocrine Practice, Molecular Biology and Evolution, Cancer Letters and Journal of Experimental & Clinical Cancer Research.
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.