Dahai Liu

1.6k citations
52 papers · 1.0k indexed · h-index 17
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms 3
    • CRISPR and Genetic Engineering 12
    • Pluripotent Stem Cells Research 10
    • Renal and related cancers 4
    • RNA modifications and cancer 4
    • Single-cell and spatial transcriptomics 3
    • RNA Interference and Gene Delivery 3
  • Genetics top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Dahai Liu

50 papers receiving 987 citations

Peers

Dahai Liu
Comparison fields: 5 of 97
  • Aging 36
  • Cancer Research 131
  • Molecular Biology 582
  • Genetics 190
  • Immunology 119
Replace Robert Gildersleeve with:
Robert Gildersleeve United States
Jing Guo China
Qingqing Wang China
Rong Han China
Sang‐Hwan Hyun South Korea
Shoshana M. Bartell United States
Xuan Ou United States
Stacey Arnold United States
Dahai Liu relative to Robert Gildersleeve United States Robert Gildersleeve's profile →
Citations per field
00.5×1.5×1.8×
Robert Gildersleeve · 1×
Citations per year

Countries citing papers authored by Dahai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dahai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202359
3 202310
4 201716
5 201711
6 201710
7 201710
8 201718
9 201515
10 20158
11 201516
12 2015119
13 201447
14 201412
15 201419
16 20142
17 200493
18 20041
19 20040
20 200319

About Dahai Liu

Dahai Liu is a scholar working on Aging, Neurology and Molecular Biology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (10 papers), Renal and related cancers (4 papers), RNA modifications and cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA Interference and Gene Delivery (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Aging (36 citations), Cancer Research (131 citations) and Molecular Biology (582 citations). Dahai Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shoudong Ye, Qi‐Long Ying, Xingliang Zhou, Nicholas J. Wang, N. Carolyn Schanen, Guanyi Huang, Kan He, Bei Huang, Desmond Smith and Qian Ban. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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