Li Su

2.9k citations
82 papers · 2.0k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

Li Su

75 papers receiving 1.9k citations

Peers

Li Su
Comparison fields: 5 of 135
  • Cancer Research 330
  • Oncology 394
  • Pathology and Forensic Medicine 241
  • Water Science and Technology 181
  • Molecular Biology 895
Replace Ying Dong with:
Ying Dong Australia
Xiang Song China
Shivani Soni United States
Jie Cheng China
Jiandong Wang China
Shujie Zhao China
Xiaoyu Yin China
P. Louise Coletta United Kingdom
Na Yin China
Lijuan Sun China
Li Su relative to Ying Dong Australia Ying Dong's profile →
Citations per field
00.5×1.5×2.3×
Ying Dong · 1×
Citations per year

Countries citing papers authored by Li Su

Since Specialization
Citations

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

Fields of papers citing papers by Li Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2
Association between wild type and mutant APC gene products.
1993156
3 201998
4 200381
5 201879
6 202077
7 201771
8 201670
9 201463
10 200061
11 201957
12 200653
13 201942
14 201241
15 202040
16 201438
17 202137
18
Inhibition of cancer cell growth by BRCA2.
200237
19 200935
20 200734

About Li Su

Li Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Biomedical Engineering and Artificial Intelligence, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Cell Adhesion Molecules Research (5 papers), RNA Research and Splicing (4 papers), Cryptography and Data Security (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related Molecular Pathways (4 papers), Genetic factors in colorectal cancer (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Cancer Research (330 citations), Oncology (394 citations), Pathology and Forensic Medicine (241 citations), Water Science and Technology (181 citations) and Molecular Biology (895 citations). Li Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Brian Z. Ring, Yilei Zhang, Lingyun Feng, K. W. Kinzler, B Vogelstein, Karl A. Johnson, K Smith, David E. Hill, Nagahiro Minato and Yan Wang. Their work appears in journals such as PLoS ONE, Oncogene, Cancers, Cancer Research and Journal of Membrane Science.

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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