Shipeng Shang

1.3k citations
28 papers · 929 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics

Papers in

    • RNA modifications and cancer 11
    • Epigenetics and DNA Methylation 6
    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 4
    • Circular RNAs in diseases 2
    • Cancer-related molecular mechanisms research 12
    • Cancer Genomics and Diagnostics 2

Shipeng Shang

26 papers receiving 922 citations

Peers

Shipeng Shang
Comparison fields: 5 of 82
  • Cancer Research 501
  • Molecular Biology 622
  • Aging 6
  • Pulmonary and Respiratory Medicine 82
  • Endocrinology 12
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Shipeng Shang relative to Tayyebeh Khoshbakht Iran Tayyebeh Khoshbakht's profile →
Citations per field
00.5×50×100×143×
Tayyebeh Khoshbakht · 1×
Citations per year

Countries citing papers authored by Shipeng Shang

Since Specialization
Citations

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

Fields of papers citing papers by Shipeng Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020219
2 2018137
3 201581
4 201557
5 201956
6 201853
7 202052
8 202241
9 202032
10 201730
11 201923
12 202217
13 202114
14 201614
15 202214
16 201913
17 202113
18 201912
19 202211
20 20249

About Shipeng Shang

Shipeng Shang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 28 papers that have together received 929 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (11 papers), Epigenetics and DNA Methylation (6 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Genomics and Diagnostics (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (501 citations), Molecular Biology (622 citations), Aging (6 citations), Pulmonary and Respiratory Medicine (82 citations) and Endocrinology (12 citations). Shipeng Shang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shangwei Ning, Yue Gao, Peng Wang, Hui Zhi, Xia Li, Shuang Guo, Xin Li, Yunpeng Zhang, Hanxiao Zhou and Yue Sun. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, Epigenomics, Frontiers in Immunology and Briefings in Functional Genomics.

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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