Weijun Liu

3.8k citations
71 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
MicroRNA in disease regulation (9 papers)Ubiquitin and proteasome pathways (7 papers)RNA Interference and Gene Delivery (6 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Weijun Liu

63 papers receiving 2.7k citations

Hit Papers

Prediction of functional microRNA targets by integrative ...20192026202120232019100200300400500

Peers

Weijun Liu
Comparison fields: 5 of 137
  • Molecular Biology 1.7k
  • Cancer Research 697
  • Oncology 363
  • Epidemiology 321
  • Infectious Diseases 298
Replace Weiqi Hong with:
Weiqi Hong China
Tao Du China
Fan Zhang China
Virginie Bottero United States
Xuebin Qin United States
Cosmas Giallourakis United States
Christophe Desterke France
Aliaksandr A. Yarmishyn Taiwan
Javid Sadri Nahand Iran
Hong Zheng China
Weijun Liu relative to Weiqi Hong China Weiqi Hong's profile →
Citations per field
00.5×50×100×148×
Weiqi Hong · 1×
Citations per year

Countries citing papers authored by Weijun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weijun Liu. A scholar is included among the top collaborators of Weijun 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 Weijun Liu. Weijun 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
#WorkIndexed citations
1 0
2 2
3 4
4 2
5 3
6 7
7 9
8 23
9 23
10 46
11 265
12 13
13 10
14
A Robust Recognition Algorithm for Encoded Targets in Close-range Photogrammetry
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15 17
16 34
17 4
18 25
19 124
20 14

About Weijun Liu

Weijun Liu is a scholar working on Cancer Research, Discrete Mathematics and Combinatorics and Pharmaceutical Science, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Ubiquitin and proteasome pathways (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Cancer Research (697 citations), Molecular Biology (1.7k citations) and Business and International Management (37 citations). Weijun Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaowei Wang, Nathan Wong, Takeo Fujita, Yong Wan, William R. Jacobs, Hiroyoshi Doihara, Daekyu Sun, Laurence H. Hurley, Juan Lin and Eszter Lázár‐Molnár. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

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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