Yanni Wang
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Biological Psychiatry top 10%
Papers in
- Immunology 24
- Co-authors
- Ying‐Yong Zhao (25 shared papers)Gang Cao (8 shared papers)He-He Hu (8 shared papers)Dan‐Qian Chen (5 shared papers)Nosratola D. Vaziri (6 shared papers)Ya‐Long Feng (2 shared papers)Hua Miao (16 shared papers)Xiaqing Wu (6 shared papers)
- Journals
- Frontiers in Pharmacology (5 papers)PLoS ONE (4 papers)Acta Pharmacologica Sinica (4 papers)Phytomedicine (4 papers)Bioorganic Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yanni Wang
171 papers receiving 3.6k citations
Yanni Wang's Hit Papers
Peers
Comparison fields: 5 of 157
- Nephrology 564
- Biological Psychiatry 62
- Immunology 416
- Pharmacology 167
- Cancer Research 287
Countries citing papers authored by Yanni Wang
This map shows the geographic impact of Yanni 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 Yanni Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanni Wang more than expected).
Fields of papers citing papers by Yanni Wang
This network shows the impact of papers produced by Yanni 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 Yanni Wang. The network helps show where Yanni Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanni 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | New insights into TGF-β/Smad signaling in tissue fibrosis Hit paper breakdown → | 2018 | 881 |
| 2 | 2021 | 151 | |
| 3 | 2018 | 109 | |
| 4 | 2019 | 90 | |
| 5 | 2023 | 82 | |
| 6 | 2023 | 66 | |
| 7 | Targeting Lactobacillus johnsonii to reverse chronic kidney disease Hit paper breakdown → | 2024 | 61 |
| 8 | 2022 | 61 | |
| 9 | 2012 | 59 | |
| 10 | 2022 | 51 | |
| 11 | 2022 | 51 | |
| 12 | 2022 | 49 | |
| 13 | 2022 | 43 | |
| 14 | 2003 | 43 | |
| 15 | 2015 | 42 | |
| 16 | 2020 | 42 | |
| 17 | 2020 | 41 | |
| 18 | 2016 | 41 | |
| 19 | 2021 | 40 | |
| 20 | 2008 | 37 |
About Yanni Wang
Yanni Wang is a scholar working on Molecular Biology, Immunology, Nephrology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 186 papers that have together received 3.7k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (15 papers), Cancer Immunotherapy and Biomarkers (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Suicide and Self-Harm Studies (9 papers), Renal Diseases and Glomerulopathies (8 papers), Folate and B Vitamins Research (6 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers) and Nanomaterials for catalytic reactions (5 papers). The work is most often cited by research in Nephrology (564 citations), Biological Psychiatry (62 citations), Immunology (416 citations), Pharmacology (167 citations) and Cancer Research (287 citations). Yanni Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying‐Yong Zhao, Gang Cao, He-He Hu, Dan‐Qian Chen, Nosratola D. Vaziri, Ya‐Long Feng, Hua Miao, Xiaqing Wu, Xiao-Yong Yu and Liang Zou. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Acta Pharmacologica Sinica, Phytomedicine and Bioorganic Chemistry.
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.