Mei‐Juan Tu

2.3k total citations · 1 hit paper
64 papers, 1.7k citations indexed

About

Mei‐Juan Tu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mei‐Juan Tu has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 28 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Mei‐Juan Tu's work include MicroRNA in disease regulation (25 papers), RNA Interference and Gene Delivery (24 papers) and RNA modifications and cancer (19 papers). Mei‐Juan Tu is often cited by papers focused on MicroRNA in disease regulation (25 papers), RNA Interference and Gene Delivery (24 papers) and RNA modifications and cancer (19 papers). Mei‐Juan Tu collaborates with scholars based in United States, China and South Korea. Mei‐Juan Tu's co-authors include Ai‐Ming Yu, Young Hee Choi, Pui Yan Ho, Joseph L. Jilek, Neelu Batra, Su Zeng, Huidi Jiang, Siyuan Sun, Chao Jian and Zhijian Duan and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Mei‐Juan Tu

60 papers receiving 1.7k citations

Hit Papers

RNA Drugs and RNA Targets for Small Molecules: Principles... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Mei‐Juan Tu
Comparison fields: 5 of 100
  • Molecular Biology 1.3k
  • Cancer Research 674
  • Oncology 290
  • Pharmacology 118
  • Pharmacology 91
Replace Xiaoxia Liu with:
Xiaoxia Liu China
Jörg Fahrer Germany
Juan Carlos García‐Cañaveras Spain
Simone Venz Germany
Lisa D. Marroquin United States
Xiaoqing Wu China
Lajos Ráduly Romania
Isabel M. Pires United Kingdom
Xuewei Bai China
Eunyoung Park South Korea
Xiaoxia Liu China View profile →
Citations per field, relative to Mei‐Juan Tu
Mei‐Juan Tu · 1×
Citations per year, relative to Mei‐Juan Tu
Mei‐Juan Tu · 1×

Countries citing papers authored by Mei‐Juan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Juan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Juan Tu. 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 Mei‐Juan Tu. The network helps show where Mei‐Juan Tu may publish in the future.

Co-authorship network of co-authors of Mei‐Juan Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Juan Tu. A scholar is included among the top collaborators of Mei‐Juan Tu 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 Mei‐Juan Tu. Mei‐Juan Tu 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 7
3 6
4 1
5 2
6 4
7 2
8 5
9 19
10 14
11 50
12 56
13 43
14 53
15 40
16
[Establishment of MDCK cell models expressing human MATE1 or co-expressing with human OCT1 or OCT2].
6
17 64
18 39
19 49
20 45

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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2026