Li Dai

1.6k total citations
27 papers, 642 citations indexed

About

Li Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Li Dai has authored 27 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Li Dai's work include Neurobiology and Insect Physiology Research (5 papers), Williams Syndrome Research (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Li Dai is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Williams Syndrome Research (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Li Dai collaborates with scholars based in United States, China and Slovakia. Li Dai's co-authors include Julie R. Korenberg, Michael E. Adams, Ursula Bellugi, Dušan Žitňan, Debra L. Mills, Jeffrey S. Anderson, Jared A. Nielsen, Michael A. Ferguson, Jian Ying and Guido Gerig and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Human Molecular Genetics.

In The Last Decade

Li Dai

25 papers receiving 635 citations

Peers

Li Dai
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 192
  • Genetics 176
  • Molecular Biology 162
  • Developmental Neuroscience 145
  • Cognitive Neuroscience 100
Replace Karl J. Fryxell with:
Karl J. Fryxell United States
Kurt L. Hoffman Mexico
Tobias F. Marton United States
Y. Mori Japan
Thomas Giger Germany
Jennifer C. Regan United Kingdom
Shi‐fang Lu United States
Jinxia Dai China
Jonaki Sen United States
Meiko Kawamura Japan
Karl J. Fryxell United States View profile →
Citations per field, relative to Li Dai
Li Dai · 1×
Citations per year, relative to Li Dai
Li Dai · 1×

Countries citing papers authored by Li Dai

Since Specialization
Citations

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

Fields of papers citing papers by Li Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Li Dai. A scholar is included among the top collaborators of Li Dai 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 Li Dai. Li Dai 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 0
2 1
3 10
4 4
5 23
6 104
7 16
8 9
9 3
10 32
11
Genetic Diversity of Silurus asotus on Mitochondrial Cytochrome b Gene Sequence
1
12
The advances of metagenome technology and its applications.
0
13 35
14 88
15 11
16 68
17 25
18 11
19 34
20 8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026