Hairi Li

13.7k citations
43 papers · 5.9k indexed · 1 hit paper · h-index 31
    • RNA Research and Splicing 25
    • RNA modifications and cancer 17
    • RNA and protein synthesis mechanisms 11
    • Epigenetics and DNA Methylation 5
    • Molecular Biology Techniques and Applications 4
    • Genomics and Chromatin Dynamics 4
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 5
  • Genetics top 5%

Hairi Li

43 papers receiving 5.8k citations

Hit Papers

Regulation of the Hippo-YAP Pathway by G-Protein-Coupled ...1.3k20122026201620214008001.2k

Peers

Hairi Li
Comparison fields: 5 of 126
  • Cell Biology 1.2k
  • Molecular Biology 4.6k
  • Cancer Research 964
  • Genetics 265
  • Plant Science 728
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

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

All Works

20 of 20 papers shown
#Work
1 202314
2 20216
3 202114
4 202063
5 2018195
6 2017261
7 2017198
8 201696
9 201573
10 20159
11 201569
12 201569
13 20147
14 2013260
15 2013430
16 2013239
17
Regulation of the Hippo-YAP Pathway by G-Protein-Coupled Receptor Signalingbreakdown →
20121282
18 2012132
19 201148
20 200661

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), RNA and protein synthesis mechanisms (11 papers), Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (5 papers), MicroRNA in disease regulation (5 papers), Molecular Biology Techniques and Applications (4 papers) and Genomics and Chromatin Dynamics (4 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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