Ya He
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- Pharmacology top 10%
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Lin Sun (3 shared papers)Zhongping Zhan (3 shared papers)Xiuyan Yang (3 shared papers)Liuqin Liang (3 shared papers)Hanshi Xu (3 shared papers)Ruili Wang (5 shared papers)Fan Lian (1 shared paper)Xiao Yang (1 shared paper)
- Journals
- Cellular and Molecular Biology (4 papers)Medicine (2 papers)Genes to Cells (2 papers)Lara D. Veeken (1 paper)Aging Clinical and Experimental Research (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ya He
23 papers receiving 639 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 150
- Pharmacology 63
- Rheumatology 69
- Immunology 96
- Molecular Biology 305
Countries citing papers authored by Ya He
This map shows the geographic impact of Ya He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya He more than expected).
Fields of papers citing papers by Ya He
This network shows the impact of papers produced by Ya He. 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 He. The network helps show where Ya He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya He, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 188 | |
| 2 | 2008 | 96 | |
| 3 | 2009 | 67 | |
| 4 | 2020 | 56 | |
| 5 | 2019 | 47 | |
| 6 | 2018 | 30 | |
| 7 | 2020 | 26 | |
| 8 | 2018 | 22 | |
| 9 | 2019 | 19 | |
| 10 | 2015 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2019 | 3 | |
| 20 | Amyloid beta directed antibody for Alzheimer's disease, an evidence based meta-analysis. | 2016 | 3 |
About Ya He
Ya He is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Oncology and Epidemiology, having authored 24 papers that have together received 649 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Genetic factors in colorectal cancer (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer-related molecular mechanisms research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Biochemical effects in animals (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cancer Research (150 citations), Pharmacology (63 citations), Rheumatology (69 citations), Immunology (96 citations) and Molecular Biology (305 citations). Ya He has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Lin Sun, Zhongping Zhan, Xiuyan Yang, Liuqin Liang, Hanshi Xu, Ruili Wang, Fan Lian, Xiao Yang, Chen Li and Yujin Ye. Their work appears in journals such as Cellular and Molecular Biology, Medicine, Genes to Cells, Lara D. Veeken and Aging Clinical and Experimental 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.