Song Wang

2.1k citations
80 papers · 1.6k · h-index 20

Impact in

Papers in

    • RNA modifications and cancer 3
    • Natural product bioactivities and synthesis 3
    • Cancer-related molecular mechanisms research 6

Song Wang

71 papers receiving 1.6k citations

Peers

Song Wang
Comparison fields: 5 of 138
  • Nephrology 106
  • Health, Toxicology and Mutagenesis 164
  • Cancer Research 145
  • Molecular Biology 639
  • Pharmacology 150
Replace Carlo M. Bergamini with:
Carlo M. Bergamini Italy
Yuanli Zhang China
Lili Wang China
Jerald Mahesh Kumar India
Ali Khodadadi Iran
Lili Kong China
Ming Zhao China
Amit Kumar Dinda India
In‐Sook Kwun South Korea
Brian S. Cummings United States
Song Wang relative to Carlo M. Bergamini Italy Carlo M. Bergamini's profile →
Citations per field
00.5×3.6×
Carlo M. Bergamini · 1×
Citations per year

Countries citing papers authored by Song Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Song Wang Line = papers co-authored together Song Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020186
2 2002176
3 2015151
4 2009105
5 202068
6 201645
7 201643
8 202440
9 200539
10 201339
11 202034
12 201433
13 201629
14 202029
15 201928
16 202027
17 201525
18 202023
19 201322
20 201422

About Song Wang

Song Wang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Epidemiology and Oncology, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Soil and Unsaturated Flow (3 papers), Wound Healing and Treatments (3 papers), RNA modifications and cancer (3 papers), Chromium effects and bioremediation (3 papers), Natural product bioactivities and synthesis (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Nephrology (106 citations), Health, Toxicology and Mutagenesis (164 citations), Cancer Research (145 citations), Molecular Biology (639 citations) and Pharmacology (150 citations). Song Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hailin Cong, Bing Yu, Youqing Shen, Zhihua Li, Shixiang Liu, Ping Shi, Zhiwei Huang, Zhijia Fang, W. E. Nelson and Timothy V. Beischlag. Their work appears in journals such as Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Biological Trace Element Research, Acta Pharmacologica Sinica, Journal of Agricultural and Food Chemistry and Agronomy.

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.

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