Ning Sun

3.1k citations
81 papers · 1.6k · h-index 23

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Peptidase Inhibition and Analysis

Papers in

    • Ubiquitin and proteasome pathways 10
    • Protein Degradation and Inhibitors 9
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 6
    • Pancreatic function and diabetes 5

Ning Sun

71 papers receiving 1.5k citations

Peers

Ning Sun
Comparison fields: 5 of 98
  • Hematology 179
  • Oncology 359
  • Molecular Biology 917
  • Cancer Research 164
  • Pharmacology 109
Replace Xia Bai with:
Xia Bai China
G Winde Germany
D A Noe United States
Hyunee Yim South Korea
Olivier Grenet Switzerland
P. Dodion Belgium
H. L. McLeod United States
Akihiko Tanizawa Japan
Güray Saydam Türkiye
Rahman Jamal Malaysia
Ning Sun relative to Xia Bai China Xia Bai's profile →
Citations per field
00.5×3.1×
Xia Bai · 1×
Citations per year

Countries citing papers authored by Ning Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ning Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 2017103
3 200990
4 202187
5 201567
6 202066
7 201965
8 201048
9 202341
10 202138
11 202035
12 200934
13 201832
14 202132
15 201730
16 202227
17 201827
18 201526
19 201625
20 200925

About Ning Sun

Ning Sun is a scholar working on Molecular Biology, Surgery, Oncology, Pharmacology and Cancer Research, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Protein Degradation and Inhibitors (9 papers), Microbial Natural Products and Biosynthesis (7 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers), Multiple Myeloma Research and Treatments (5 papers), Pancreatic function and diabetes (5 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (179 citations), Oncology (359 citations), Molecular Biology (917 citations), Cancer Research (164 citations) and Pharmacology (109 citations). Ning Sun has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Biao Jiang, Xiaobao Yang, Chengshuo Zhang, Jialin Zhang, Xing Qiu, Ao Jiao, Jifeng Feng, Xiaoling Song, Hui Zhong and Lü Cheng. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Cancer Science, Nucleic Acids Research and Scientific Reports.

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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