Shian Su

6.4k citations
16 papers · 1.9k indexed · 1 hit paper · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Gene expression and cancer classification

Papers in

Shian Su

15 papers receiving 1.9k citations

Hit Papers

Opportunities and challenges in long-read sequencing data analysis 2020 · 865 citations
8652020202620222024250500750

Peers

Shian Su
Comparison fields: 5 of 135
  • Cancer Research 300
  • Molecular Biology 1.3k
  • Immunology 300
  • Biophysics 74
  • Genetics 238
Replace Ning Leng with:
Ning Leng United States
Tatyana Goldberg Germany
Oscar Franzén Sweden
Hailiang Mei Netherlands
Javier Santoyo‐López Spain
Nadav Cohen Israel
Ian Sudbery United Kingdom
Gregory Von Kuster United States
Ian T. Fiddes United States
Brian J. Raney United States
Shian Su relative to Ning Leng United States Ning Leng's profile →
Citations per field
00.5×1.5×2.3×
Ning Leng · 1×
Citations per year

Countries citing papers authored by Shian Su

Since Specialization
Citations

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

Fields of papers citing papers by Shian Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shian Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shian Su Line = papers co-authored together Shian Su links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20243
2 20230
3 20215
4 202125
5 202138
6 202113
7 202116
8
Opportunities and challenges in long-read sequencing data analysis
Hit paper breakdown →
2020865
9 202025
10 2019199
11 201919
12 201864
13 2017105
14 20168
15 2016121
16 2015361

About Shian Su

Shian Su is a scholar working on Biophysics, Cancer Research, Immunology, Molecular Biology and Surgery, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Extracellular vesicles in disease (2 papers), Molecular Biology Techniques and Applications (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (300 citations), Molecular Biology (1.3k citations), Immunology (300 citations), Biophysics (74 citations) and Genetics (238 citations). Shian Su has collaborated with scholars based in Australia, China and Austria. Frequent co-authors include Matthew E. Ritchie, Xueyi Dong, Quentin Gouil, Shanika L. Amarasinghe, Luke Zappia, Marnie E. Blewitt, Marie-Liesse Asselin-Labat, Aliaksei Z. Holik, Gordon K. Smyth and Natasha Jansz. Their work appears in journals such as NAR Genomics and Bioinformatics, PLoS Computational Biology, Bioinformatics, Genome biology and Nature Methods.

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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