Aman Wang
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 5
- Cancer Immunotherapy and Biomarkers 2
-
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Jiwei Liu (12 shared papers)Zhen Ning (10 shared papers)Qiu Yan (6 shared papers)Jinxiao Liang (3 shared papers)Yunpeng Xie (3 shared papers)Guang Tan (3 shared papers)Zhongyu Wang (2 shared papers)Wei Gao (2 shared papers)
- Journals
- Oncology Reports (2 papers)Frontiers in Immunology (2 papers)Frontiers in Pharmacology (2 papers)International Journal of Oncology (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Aman Wang
23 papers receiving 673 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 141
- Oncology 138
- Molecular Biology 320
- Hepatology 36
- Cell Biology 29
Countries citing papers authored by Aman Wang
This map shows the geographic impact of Aman Wang'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 Aman Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aman Wang more than expected).
Fields of papers citing papers by Aman Wang
This network shows the impact of papers produced by Aman Wang. 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 Aman Wang. The network helps show where Aman Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aman Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 155 | |
| 2 | 2018 | 59 | |
| 3 | 2017 | 52 | |
| 4 | 2014 | 47 | |
| 5 | 2014 | 45 | |
| 6 | 2020 | 39 | |
| 7 | 2014 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2015 | 32 | |
| 10 | Abnormal expression of Nek2 in pancreatic ductal adenocarcinoma: a novel marker for prognosis. | 2014 | 31 |
| 11 | 2017 | 29 | |
| 12 | 2021 | 21 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Aman Wang
Aman Wang is a scholar working on Oncology, Cancer Research, Molecular Biology, Biochemistry and Pharmaceutical Science, having authored 23 papers that have together received 684 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer Immunotherapy and Biomarkers (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers), Melanoma and MAPK Pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Cancer Research (141 citations), Oncology (138 citations), Molecular Biology (320 citations), Hepatology (36 citations) and Cell Biology (29 citations). Aman Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jiwei Liu, Zhen Ning, Qiu Yan, Jinxiao Liang, Yunpeng Xie, Jinxiao Liang, Guang Tan, Zhongyu Wang, Wei Gao and Qihang Yuan. Their work appears in journals such as Oncology Reports, Frontiers in Immunology, Frontiers in Pharmacology, International Journal of Oncology 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.