Song Wang
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
-
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
- Chromium effects and bioremediation
Papers in
-
- RNA modifications and cancer 3
- Metabolism, Diabetes, and Cancer 2
- Oncology 7
- Co-authors
- Bing Yu (2 shared papers)Youqing Shen (2 shared papers)Hailin Cong (2 shared papers)Shixiang Liu (1 shared paper)Zhihua Li (1 shared paper)Ping Shi (14 shared papers)Zhiwei Huang (10 shared papers)Zhijia Fang (7 shared papers)
- Journals
- Biological Trace Element Research (2 papers)Agronomy (2 papers)Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology (2 papers)Frontiers in Physiology (2 papers)Acta Pharmacologica Sinica (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Song Wang
75 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 138
- Nephrology 107
- Health, Toxicology and Mutagenesis 168
- Cancer Research 130
- Pharmacology 145
- Molecular Biology 604
Countries citing papers authored by Song Wang
This map shows the geographic impact of Song 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 Song Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wang more than expected).
Fields of papers citing papers by Song Wang
This network shows the impact of papers produced by Song 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 Song Wang. The network helps show where Song Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Song 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 203 | |
| 2 | 2002 | 185 | |
| 3 | 2015 | 156 | |
| 4 | 2009 | 108 | |
| 5 | 2020 | 69 | |
| 6 | 2005 | 49 | |
| 7 | 2024 | 49 | |
| 8 | 2016 | 48 | |
| 9 | 2016 | 44 | |
| 10 | 2013 | 39 | |
| 11 | 2020 | 36 | |
| 12 | 2014 | 35 | |
| 13 | 2016 | 32 | |
| 14 | 2019 | 32 | |
| 15 | 2020 | 30 | |
| 16 | 2020 | 27 | |
| 17 | 2015 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2021 | 22 | |
| 20 | 2013 | 22 |
About Song Wang
Song Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Soil and Unsaturated Flow (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Lipid metabolism and biosynthesis (3 papers), RNA modifications and cancer (3 papers), Chromium effects and bioremediation (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Nephrology (107 citations), Health, Toxicology and Mutagenesis (168 citations), Cancer Research (130 citations), Pharmacology (145 citations) and Molecular Biology (604 citations). Song Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bing Yu, Youqing Shen, Hailin Cong, Shixiang Liu, Zhihua Li, Ping Shi, Zhiwei Huang, Zhijia Fang, Markus R. Probst and David W. Rose. Their work appears in journals such as Biological Trace Element Research, Agronomy, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Frontiers in Physiology and Acta Pharmacologica Sinica.
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.