Shaojun Tang

2.8k citations
45 papers · 1.4k indexed · 1 hit paper · h-index 15

Shaojun Tang

41 papers receiving 1.4k citations

Hit Papers

mRNA circularization by METTL3–eIF3h enhances translation...5672018202620202023100200300400500

Peers

Shaojun Tang
Comparison fields: 5 of 103
  • Developmental Neuroscience 114
  • Cancer Research 354
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 242
  • Neurology 55
Replace Benny Björkblom with:
Benny Björkblom Sweden
Yunfei Huang China
Rossella Brandi Italy
Qingsong Wang China
Heng Wu China
Marie E. Jönsson Sweden
Werner J. Kovacs Switzerland
Tae‐Ju Park United States
Seong Won Lee South Korea
Kazushi Sugihara Japan
Shaojun Tang relative to Benny Björkblom Sweden Benny Björkblom's profile →
Citations per field
00.5×2.6×
Benny Björkblom · 1×
Citations per year

Countries citing papers authored by Shaojun Tang

Since Specialization
Citations

This map shows the geographic impact of Shaojun Tang'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 Shaojun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaojun Tang more than expected).

Fields of papers citing papers by Shaojun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaojun Tang. 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 Shaojun Tang. The network helps show where Shaojun Tang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shaojun Tang, 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 Shaojun Tang Line = papers co-authored together Shaojun Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 20240
4 20242
5 20241
6 202314
7 20234
8 20234
9 202312
10 202314
11 202235
12 20218
13 202161
14 2015181
15 201324
16 201313
17
Discussion on Confusion and Correction for the Concept of Extended Producer Responsibility Regime
20091
18
Discussion on Waste Problem and Response to Extended Producer Responsibility
20071
19 200655
20 200675

About Shaojun Tang

Shaojun Tang is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Gut microbiota and health (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Pain Mechanisms and Treatments (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Developmental Neuroscience (114 citations), Cancer Research (354 citations) and Molecular Biology (1.1k citations). Shaojun Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuibin Lin, Richard I. Gregory, Kwok‐Kin Wong, Frank J. Slack, Junho Choe, Wen Cai Zhang, Julia Ramírez-Moya, Rani E. George, Nicolas Locker and William G. Richards. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological 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.

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