Lixin Dai

3.2k citations
20 papers · 2.1k indexed · 1 hit paper · h-index 17
    • RNA and protein synthesis mechanisms 11
    • CRISPR and Genetic Engineering 5
    • RNA modifications and cancer 2
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Chromosomal and Genetic Variations 7
    • Plant Virus Research Studies 2
  • Ecology top 10%
    • Bacteriophages and microbial interactions 6
    • Bacterial Genetics and Biotechnology 4

Lixin Dai

19 papers receiving 2.0k citations

Hit Papers

Tumour microvesicles contain retrotransposon elements and...9652011202620162021250500750

Peers

Lixin Dai
Comparison fields: 5 of 106
  • Cancer Research 616
  • Molecular Biology 1.8k
  • Plant Science 464
  • Ecology 273
  • Immunology and Allergy 48
Replace Klemens J. Hertel with:
Klemens J. Hertel United States
Henk P.J. Buermans Netherlands
Haidi Zhang China
Nenad Bartoniček Australia
Robert F. Harvey United Kingdom
Galit Lev-Maor Israel
Steve Lefever Belgium
T S Papas United States
Gabriele Fuchs United States
Christian Lavialle France
Lixin Dai relative to Klemens J. Hertel United States Klemens J. Hertel's profile →
Citations per field
00.5×3.2×
Klemens J. Hertel · 1×
Citations per year

Countries citing papers authored by Lixin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lixin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 201618
3 201522
4 201428
5 201416
6 20139
7 2013165
8 201354
9 201341
10 201250
11 201243
12 201151
13 201188
14
Tumour microvesicles contain retrotransposon elements and amplified oncogene sequencesbreakdown →
2011965
15 200865
16 200857
17 2004135
18 200394
19 200232
20 2002144

About Lixin Dai

Lixin Dai is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Ecology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Chromosomal and Genetic Variations (7 papers), Bacteriophages and microbial interactions (6 papers), CRISPR and Genetic Engineering (5 papers), Bacterial Genetics and Biotechnology (4 papers), RNA modifications and cancer (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Cancer Research (616 citations), Molecular Biology (1.8k citations) and Plant Science (464 citations). Lixin Dai has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Johan Skog, Yoon-Jae Cho, Scott L. Pomeroy, Leonora Balaj, Xandra O. Breakefield, Jef D. Boeke, Steven Zimmerly, Martin S. Taylor, Qing Huang and John LaCava. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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