Di Liu

29.3k total citations · 4 hit papers
570 papers, 14.9k citations indexed

About

Di Liu is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Di Liu has authored 570 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Molecular Biology, 111 papers in Epidemiology and 68 papers in Infectious Diseases. Recurrent topics in Di Liu's work include Influenza Virus Research Studies (41 papers), Animal Disease Management and Epidemiology (35 papers) and Animal Virus Infections Studies (27 papers). Di Liu is often cited by papers focused on Influenza Virus Research Studies (41 papers), Animal Disease Management and Epidemiology (35 papers) and Animal Virus Infections Studies (27 papers). Di Liu collaborates with scholars based in China, United States and Australia. Di Liu's co-authors include George F. Gao, Jun Li, Gan Zhang, Fuzhong Zhang, Joseph J. Pignatello, Patrick Huston, Weifeng Shi, Yuhai Bi, Yi Shi and Xu Yue and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Di Liu

534 papers receiving 14.7k citations

Hit Papers

N6-Methyladenine DNA Modification in Drosophila 2013 2026 2017 2021 2015 2013 2020 2022 100 200 300 400

Peers

Di Liu
Comparison fields: 5 of 203
  • Molecular Biology 4.7k
  • Epidemiology 2.9k
  • Infectious Diseases 2.5k
  • Health, Toxicology and Mutagenesis 1.7k
  • Immunology 1.4k
Replace James R. Cole with:
James R. Cole United States
Jack A. Gilbert United States
George M Garrity United States
Janet Jansson United States
Qiong Wang China
Micah Hamady United States
William Nelson United States
Donovan H. Parks Australia
Søren J. Sørensen Denmark
Gerhard Thallinger Austria
James R. Cole United States View profile →
Citations per field, relative to Di Liu
Di Liu · 1×
Citations per year, relative to Di Liu
Di Liu · 1×

Countries citing papers authored by Di Liu

Since Specialization
Citations

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

Fields of papers citing papers by Di Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Liu. A scholar is included among the top collaborators of Di Liu 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 Di Liu. Di Liu 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 3
3 2
4 0
5 2
6 2
7 2
8 5
9 1
10 3
11 53
12 5
13 5
14 5
15 75
16 17
17 1
18 6
19 11
20 4

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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