Haiwei Song

7.4k total citations · 1 hit paper
91 papers, 5.7k citations indexed

About

Haiwei Song is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Haiwei Song has authored 91 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 15 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Haiwei Song's work include RNA and protein synthesis mechanisms (30 papers), RNA Research and Splicing (25 papers) and RNA modifications and cancer (18 papers). Haiwei Song is often cited by papers focused on RNA and protein synthesis mechanisms (30 papers), RNA Research and Splicing (25 papers) and RNA modifications and cancer (18 papers). Haiwei Song collaborates with scholars based in Singapore, China and United States. Haiwei Song's co-authors include Roy Parker, Wanjin Hong, Zhihong Cheng, David Barford, Siew Wee Chan, Meipei She, Martin Walsh, Mousheng Wu, Liming Chen and Christian G. Noble and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Haiwei Song

90 papers receiving 5.7k citations

Hit Papers

The enzymes and control of eukaryotic mRNA turnover 2004 2026 2011 2018 2004 200 400 600

Peers

Haiwei Song
Comparison fields: 5 of 135
  • Molecular Biology 4.5k
  • Cell Biology 1.0k
  • Plant Science 444
  • Genetics 410
  • Materials Chemistry 285
Replace David M. Creasy with:
David M. Creasy United Kingdom
David Schieltz United States
Luitzen de Jong Netherlands
Richard Charles Garratt Brazil
Richard A. Scheltema Netherlands
Junyu Xiao China
Maikun Teng China
Nadin Neuhauser Germany
José A. Dianes United Kingdom
M. Teresa Pisabarro Germany
David M. Creasy United Kingdom View profile →
Citations per field, relative to Haiwei Song
Haiwei Song · 1×
Citations per year, relative to Haiwei Song
Haiwei Song · 1×

Countries citing papers authored by Haiwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Haiwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiwei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Haiwei Song. A scholar is included among the top collaborators of Haiwei Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiwei Song. Haiwei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 14
3 37
4 17
5 20
6 51
7 18
8 37
9 5
10 13
11 135
12 51
13 63
14 102
15 109
16
The enzymes and control of eukaryotic mRNA turnover breakdown →
652
17 31
18 56
19 370
20 7

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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