Hairi Li

13.7k citations
43 papers · 5.9k indexed · 1 hit paper · h-index 31
Topics
RNA Research and Splicing (25 papers)RNA modifications and cancer (17 papers)RNA and protein synthesis mechanisms (11 papers)

In The Last Decade

Hairi Li

43 papers receiving 5.8k citations

Hit Papers

Regulation of the Hippo-YAP Pathway by G-Protein-Coupled ...201220262016202120124008001.2k

Peers

Hairi Li
Comparison fields: 5 of 126
  • Molecular Biology 4.6k
  • Cell Biology 1.2k
  • Cancer Research 964
  • Plant Science 728
  • Genetics 327
Replace Detlev Schindler with:
Detlev Schindler Germany
Elena V. Ivanova United States
Anthony N. Imbalzano United States
Lisa Garrett United States
Erno Wienholds Netherlands
Lawrence Lum United States
David A. Orlando United States
Teresa Druck United States
N G Copeland United States
Ken M. Cadigan United States
Hairi Li relative to Detlev Schindler Germany Detlev Schindler's profile →
Citations per field
00.5×2.7×
Detlev Schindler · 1×
Citations per year

Countries citing papers authored by Hairi Li

Since Specialization
Citations

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

Fields of papers citing papers by Hairi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hairi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hairi Li. A scholar is included among the top collaborators of Hairi Li 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 Hairi Li. Hairi Li 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
#WorkIndexed citations
1 14
2 6
3 14
4 63
5 195
6 261
7 198
8 96
9 73
10 9
11 69
12 69
13 7
14 260
15 430
16 239
17
Regulation of the Hippo-YAP Pathway by G-Protein-Coupled Receptor Signalingbreakdown →
1282
18 132
19 48
20 61

About Hairi Li

Hairi Li is a scholar working on Molecular Biology, Cancer Research and Hematology, having authored 43 papers that have together received 5.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (25 papers), RNA modifications and cancer (17 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (4.6k citations) and Cancer Research (964 citations). Hairi Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiang‐Dong Fu, Yu Zhou, Jinsong Qiu, Jie Huang, Fa‐Xing Yu, Kun‐Liang Guan, Jenna L. Jewell, Nattapon Panupinthu, G B Mills and Bin Zhao. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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