Shaohua Peng

1.7k citations
43 papers · 1.3k · h-index 22

Impact in

Papers in

    • Cancer-related Molecular Pathways 7
    • PI3K/AKT/mTOR signaling in cancer 4
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 3
    • Melanoma and MAPK Pathways 3

Shaohua Peng

43 papers receiving 1.3k citations

Peers

Shaohua Peng
Comparison fields: 5 of 108
  • Oncology 335
  • Cancer Research 175
  • Electrochemistry 70
  • Otorhinolaryngology 39
  • Molecular Biology 668
Replace Fen Ma with:
Fen Ma China
Xiao‐Huan Liang China
RONG TSUN WU China
Alberto Peláez‐García Spain
Dadi Jiang United States
Jozo Delić France
Yu Yao China
Işık G. Yuluğ Türkiye
Francisco G. Ortega Spain
Maonan Wang China
Shaohua Peng relative to Fen Ma China Fen Ma's profile →
Citations per field
00.5×2×4×6×8×9.8×
Fen Ma · 1×
Citations per year

Countries citing papers authored by Shaohua Peng

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201479
3 201470
4 200565
5 201465
6 201362
7 200559
8 200658
9 201157
10 201256
11 200755
12 200755
13 201052
14 201050
15 201749
16 200646
17 201544
18 201944
19 201536
20 202132

About Shaohua Peng

Shaohua Peng is a scholar working on Oncology, Molecular Biology, Cancer Research, Otorhinolaryngology and Molecular Medicine, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer Research and Treatments (2 papers), Head and Neck Cancer Studies (2 papers) and Hydrogels: synthesis, properties, applications (2 papers). The work is most often cited by research in Oncology (335 citations), Cancer Research (175 citations), Electrochemistry (70 citations), Otorhinolaryngology (39 citations) and Molecular Biology (668 citations). Shaohua Peng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Faye M. Johnson, Banibrata Sen, Tuhina Mazumdar, Ignacio Ivan Wistuba, Chunping Shen, Yifeng Tu, Junwei Di, Jing Wang, John Victor Heymach and Rakesh Kumar. Their work appears in journals such as Clinical Cancer Research, Journal of Biological Chemistry, Cancer Letters, The Journal of Clinical Endocrinology & Metabolism and Molecular Cancer Therapeutics.

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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