Ai‐Ming Yu

8.7k total citations · 3 hit papers
159 papers, 6.8k citations indexed

About

Ai‐Ming Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ai‐Ming Yu has authored 159 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 53 papers in Cancer Research and 45 papers in Oncology. Recurrent topics in Ai‐Ming Yu's work include MicroRNA in disease regulation (42 papers), RNA Interference and Gene Delivery (36 papers) and RNA modifications and cancer (36 papers). Ai‐Ming Yu is often cited by papers focused on MicroRNA in disease regulation (42 papers), RNA Interference and Gene Delivery (36 papers) and RNA modifications and cancer (36 papers). Ai‐Ming Yu collaborates with scholars based in United States, China and Switzerland. Ai‐Ming Yu's co-authors include Frank J. Gonzalez, Young Hee Choi, Mei‐Juan Tu, Jeffrey R. Idle, Kristopher W. Krausz, Robert L. Haining, A Küpfer, Gavin M. Traber, Pui Yan Ho and Marilyn E. Morris and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ai‐Ming Yu

150 papers receiving 6.7k citations

Hit Papers

ABC Transporters in Multidrug Resistance and Pharmacokine... 2014 2026 2018 2022 2014 2020 2022 100 200 300 400

Peers

Ai‐Ming Yu
Comparison fields: 5 of 139
  • Molecular Biology 3.8k
  • Cancer Research 1.9k
  • Oncology 1.6k
  • Pharmacology 1.6k
  • Pharmacology 384
Replace Xinxin Ding with:
Xinxin Ding United States
David W. Hein United States
Curtis J. Omiecinski United States
Christopher E. Goldring United Kingdom
Kenneth K. Chan United States
Kiyoshi Nagata Japan
Yong‐Yeon Cho South Korea
Cheng Huang China
Ryuichi Kato Japan
Peter Kubatka Slovakia
Xinxin Ding United States View profile →
Citations per field, relative to Ai‐Ming Yu
Ai‐Ming Yu · 1×
Citations per year, relative to Ai‐Ming Yu
Ai‐Ming Yu · 1×

Countries citing papers authored by Ai‐Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Ming Yu. 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 Ai‐Ming Yu. The network helps show where Ai‐Ming Yu may publish in the future.

Co-authorship network of co-authors of Ai‐Ming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ai‐Ming Yu. A scholar is included among the top collaborators of Ai‐Ming Yu 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 Ai‐Ming Yu. Ai‐Ming Yu 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 0
3 2
4 0
5 3
6 7
7 0
8 30
9 6
10 16
11 20
12 19
13 49
14 56
15 43
16 15
17
ABC Transporters in Multidrug Resistance and Pharmacokinetics, and Strategies for Drug Development breakdown →
451
18 54
19
In vivo Silk Fibroin Biocompatibility
1
20 65

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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