Ning Chang

2.3k citations
64 papers · 1.7k · 1 hit paper · h-index 22

Impact in

Papers in

Ning Chang

58 papers receiving 1.7k citations

Ning Chang's Hit Papers

Noncoding Effects of Circular RNA CCDC66 Promote Colon Cancer Growth and Metastasis 2017 · 524 citations
5240+3+6Years since publication100200300400500

Peers

Ning Chang
Comparison fields: 5 of 123
  • Cancer Research 513
  • Reproductive Medicine 136
  • Molecular Biology 976
  • Obstetrics and Gynecology 68
  • Neurology 68
Replace Huanjiao Jenny Zhou with:
Huanjiao Jenny Zhou China
Shan Yu China
Hong Shi China
Marja Talikka Switzerland
Mei‐Zhen Cui United States
Ikuro Sato Japan
Amee J. George Australia
Simona Delle Monache Italy
Ning Chang relative to Huanjiao Jenny Zhou China Huanjiao Jenny Zhou's profile →
Citations per field
00.5×3.1×
Huanjiao Jenny Zhou · 1×
Citations per year

Countries citing papers authored by Ning Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Noncoding Effects of Circular RNA CCDC66 Promote Colon Cancer Growth and Metastasis
Hit paper breakdown →
2017524
2 2008125
3 201065
4 200765
5 202054
6 201553
7 201450
8 201848
9 202144
10 201444
11 202443
12 197739
13 202137
14 201634
15 201531
16 202029
17 201728
18 201628
19 201628
20 201626

About Ning Chang

Ning Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Reproductive Medicine and Surgery, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (6 papers), Lung Cancer Treatments and Mutations (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), MRI in cancer diagnosis (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Gastroesophageal reflux and treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (513 citations), Reproductive Medicine (136 citations), Molecular Biology (976 citations), Obstetrics and Gynecology (68 citations) and Neurology (68 citations). Ning Chang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Kuei‐Yang Hsiao, Shaw‐Jenq Tsai, H. Sunny Sun, Ya‐Chi Lin, Sachin Gupta, Laising Yen, Meng‐Hsing Wu, Qi Wan, Youssef El-Hayek and Laurence Y. Cheung. Their work appears in journals such as Medicine, Clinical and Translational Medicine, Oncotarget, Plastic & Reconstructive Surgery and Journal of Applied Microbiology.

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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