Shun‐Long Weng

2.2k citations
46 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Machine Learning in Bioinformatics (8 papers)MicroRNA in disease regulation (5 papers)Cancer-related molecular mechanisms research (5 papers)

In The Last Decade

Shun‐Long Weng

44 papers receiving 1.7k citations

Hit Papers

miRTarBase update 2014: an information resource for exper...20132026201720212013250500750

Peers

Shun‐Long Weng
Comparison fields: 5 of 114
  • Molecular Biology 1.2k
  • Cancer Research 879
  • Immunology 114
  • Oncology 109
  • Reproductive Medicine 101
Replace Virginie Aris with:
Virginie Aris United States
Allison Jones United Kingdom
Kouya Shiraishi Japan
Peng Wu China
Alma Chávez‐Blanco Mexico
Zhaogang Dong China
Aubrey R. Turner United States
Wencheng Ding China
Hongbing Cai China
Julia A. Sensibar United States
Shun‐Long Weng relative to Virginie Aris United States Virginie Aris's profile →
Citations per field
00.5×9.5×
Virginie Aris · 1×
Citations per year

Countries citing papers authored by Shun‐Long Weng

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Long Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Long Weng. 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 Shun‐Long Weng. The network helps show where Shun‐Long Weng may publish in the future.

Co-authorship network of co-authors of Shun‐Long Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Long Weng. A scholar is included among the top collaborators of Shun‐Long Weng 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 Shun‐Long Weng. Shun‐Long Weng 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 3
2 8
3 4
4 1
5 5
6 0
7 4
8 5
9 21
10 38
11 3
12 24
13 34
14 31
15 21
16 5
17 118
18
miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactionsbreakdown →
892
19 11
20 100

About Shun‐Long Weng

Shun‐Long Weng is a scholar working on Microbiology, Modeling and Simulation and Cancer Research, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (879 citations), Molecular Biology (1.2k citations) and Reproductive Medicine (101 citations). Shun‐Long Weng has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Hsien‐Da Huang, Sirjana Shrestha, Sheng‐Da Hsu, Hsi‐Yuan Huang, Kuang‐Wen Liao, Anas Khaleel, Yu‐Ting Tseng, Ching-Min Lin, Feng‐Mao Lin and Shu-Yi Ho. Their work appears in journals such as Nucleic Acids Research, Nano Letters and PLoS ONE.

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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