Jingnan Wang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- Oncology 21
- Cancer Immunotherapy and Biomarkers 8
- Peptidase Inhibition and Analysis 6
- Co-authors
- Jie He (7 shared papers)Zhaoli Chen (6 shared papers)Mingjun Gu (13 shared papers)Yuping Sun (6 shared papers)Zhiliang Lu (6 shared papers)Yun Che (6 shared papers)Qingfeng Xiang (5 shared papers)Jianbing Huang (4 shared papers)
- Journals
- Nature Communications (5 papers)International Immunopharmacology (4 papers)Chemical Engineering Science (3 papers)PLoS ONE (2 papers)Experimental and Clinical Endocrinology & Diabetes (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Jingnan Wang
120 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 612
- Hepatology 152
- Oncology 513
- Immunology 332
- Molecular Biology 1.0k
Countries citing papers authored by Jingnan Wang
This map shows the geographic impact of Jingnan 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 Jingnan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingnan Wang more than expected).
Fields of papers citing papers by Jingnan Wang
This network shows the impact of papers produced by Jingnan 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 Jingnan Wang. The network helps show where Jingnan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingnan 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 189 | |
| 2 | 2021 | 143 | |
| 3 | 2017 | 115 | |
| 4 | 2018 | 109 | |
| 5 | 2015 | 101 | |
| 6 | 2018 | 99 | |
| 7 | 2018 | 91 | |
| 8 | 2014 | 90 | |
| 9 | 2019 | 78 | |
| 10 | 2017 | 70 | |
| 11 | 2015 | 63 | |
| 12 | 2019 | 59 | |
| 13 | 2017 | 58 | |
| 14 | 2014 | 49 | |
| 15 | 2024 | 48 | |
| 16 | 2022 | 47 | |
| 17 | 2020 | 46 | |
| 18 | 2020 | 42 | |
| 19 | 2014 | 39 | |
| 20 | 2019 | 38 |
About Jingnan Wang
Jingnan Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Materials Chemistry and Surgery, having authored 127 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Cancer Immunotherapy and Biomarkers (8 papers), Catalytic Processes in Materials Science (6 papers), RNA modifications and cancer (6 papers), Peptidase Inhibition and Analysis (6 papers), RNA Research and Splicing (5 papers), Graphene research and applications (5 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Cancer Research (612 citations), Hepatology (152 citations), Oncology (513 citations), Immunology (332 citations) and Molecular Biology (1.0k citations). Jingnan Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Jie He, Zhaoli Chen, Mingjun Gu, Yuping Sun, Zhiliang Lu, Yun Che, Qingfeng Xiang, Jianbing Huang, Shouguo Sun and Aiqin Gao. Their work appears in journals such as Nature Communications, International Immunopharmacology, Chemical Engineering Science, PLoS ONE and Experimental and Clinical Endocrinology & Diabetes.
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.