Yinghan Su

407 citations
11 papers · 305 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cancer-related gene regulation 2
    • Circular RNAs in diseases 2
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 2
    • Cancer Genomics and Diagnostics 1

Yinghan Su

9 papers receiving 302 citations

Peers

Yinghan Su
Comparison fields: 5 of 49
  • Cancer Research 136
  • Hepatology 42
  • Molecular Biology 204
  • Oncology 71
  • Pathology and Forensic Medicine 32
Replace Clarissa Patrizi with:
Clarissa Patrizi Italy
Jiancong Sun China
Vaishnavi Sambandam United States
Lisa van Voorthuijsen Netherlands
Toshihide Muramatsu Japan
Kuen‐Tyng Lin Taiwan
Chi‐Hung Lin Taiwan
Andreas Ziesch Germany
Y-Y Wu China
Chaoyi Yuan China
Yinghan Su relative to Clarissa Patrizi Italy Clarissa Patrizi's profile →
Citations per field
00.5×1.5×2.2×
Clarissa Patrizi · 1×
Citations per year

Countries citing papers authored by Yinghan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yinghan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yinghan 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 Yinghan Su Line = papers co-authored together Yinghan Su links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2022104
2 201640
3 201339
4 201431
5 202220
6 202220
7 201620
8 201417
9 202214
10 20250
11 20250

About Yinghan Su

Yinghan Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Genetics, having authored 11 papers that have together received 305 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related gene regulation (2 papers), CAR-T cell therapy research (2 papers), Circular RNAs in diseases (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (136 citations), Hepatology (42 citations), Molecular Biology (204 citations), Oncology (71 citations) and Pathology and Forensic Medicine (32 citations). Yinghan Su has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Changqing Su, Weidan Ji, Lun–Xiu Qin, Bin Sun, Xiaoya Li, Mengchao Wu, Beiyuan Hu, Xiaotian Shen, Zhao‐Shen Li and Qiongzhu Dong. Their work appears in journals such as Cancer Letters, Oncotarget, Molecular Cancer Therapeutics, Translational Oncology and Signal Transduction and Targeted Therapy.

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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