Hang Yang
Impact in
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Viral-associated cancers and disorders
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 20
- Oncology 17
- Cancer-related Molecular Pathways 4
- CAR-T cell therapy research 4
- Co-authors
- Peng Sun (21 shared papers)Cui Chen (9 shared papers)Xiwen Bi (6 shared papers)Wenqi Jiang (4 shared papers)Panpan Liu (16 shared papers)Yi Xia (15 shared papers)Feng‐Hua Wang (2 shared papers)Xin An (4 shared papers)
- Journals
- Disease Markers (4 papers)Frontiers in Oncology (4 papers)Blood (3 papers)Journal of Cancer (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hang Yang
44 papers receiving 647 citations
Peers
Comparison fields: 5 of 70
- Oncology 257
- Pathology and Forensic Medicine 143
- Cancer Research 120
- Otorhinolaryngology 20
- Genetics 32
Countries citing papers authored by Hang Yang
This map shows the geographic impact of Hang 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 Hang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yang more than expected).
Fields of papers citing papers by Hang Yang
This network shows the impact of papers produced by Hang 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 Hang Yang. The network helps show where Hang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 104 | |
| 2 | 2020 | 56 | |
| 3 | 2019 | 39 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 36 | |
| 6 | 2019 | 36 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2023 | 29 | |
| 10 | 2023 | 24 | |
| 11 | 2015 | 22 | |
| 12 | 2020 | 15 | |
| 13 | 2018 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2021 | 10 |
About Hang Yang
Hang Yang is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Surgery and Immunology, having authored 54 papers that have together received 650 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Ubiquitin and proteasome pathways (4 papers), Head and Neck Cancer Studies (4 papers), Cancer-related Molecular Pathways (4 papers), CAR-T cell therapy research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and GABA and Rice Research (3 papers). The work is most often cited by research in Oncology (257 citations), Pathology and Forensic Medicine (143 citations), Cancer Research (120 citations), Otorhinolaryngology (20 citations) and Genetics (32 citations). Hang Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peng Sun, Cui Chen, Xiwen Bi, Wenqi Jiang, Panpan Liu, Yi Xia, Feng‐Hua Wang, Xin An, Fei Zhang and Zhiming Li. Their work appears in journals such as Disease Markers, Frontiers in Oncology, Blood, Journal of Cancer and Oncotarget.
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.