Nianping Chen

582 citations
18 papers · 468 · h-index 12

Impact in

Papers in

    • Biological Activity of Diterpenoids and Biflavonoids 2
    • RNA modifications and cancer 2
    • Cancer-related Molecular Pathways 3
    • PARP inhibition in cancer therapy 2

Nianping Chen

18 papers receiving 465 citations

Peers

Nianping Chen
Comparison fields: 5 of 69
  • Geriatrics and Gerontology 61
  • Complementary and alternative medicine 65
  • Hepatology 46
  • Cancer Research 76
  • Molecular Biology 241
Replace Tiejian Zhao with:
Tiejian Zhao China
Jiao Li China
Lee Farrand South Korea
Jianyong Xiao China
I‐Lu Lai Taiwan
Roberta R. Ruela-de-Sousa Brazil
Sima Mansoori Derakhshan Iran
Ana Nedeljkovic-Kurepa United States
Bhupender Kumar India
Nianping Chen relative to Tiejian Zhao China Tiejian Zhao's profile →
Citations per field
00.5×8.5×
Tiejian Zhao · 1×
Citations per year

Countries citing papers authored by Nianping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nianping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201474
2 201468
3 201451
4 201544
5 201342
6 201240
7 201428
8 201626
9 201624
10 201413
11 202413
12 202011
13 202111
14 20209
15 20238
16 20203
17 20212
18 20231

About Nianping Chen

Nianping Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Geriatrics and Gerontology and Hepatology, having authored 18 papers that have together received 468 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Cancer, Lipids, and Metabolism (2 papers), Medicinal plant effects and applications (2 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), PARP inhibition in cancer therapy (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (61 citations), Complementary and alternative medicine (65 citations), Hepatology (46 citations), Cancer Research (76 citations) and Molecular Biology (241 citations). Nianping Chen has collaborated with scholars based in China, Hong Kong and Iran. Frequent co-authors include Mingyi Li, Runzhi Zhu, Jie Liu, Qingyu Zhang, Huilai Miao, Juan Xia, Juntao Liu, Qingyu Zhang, Bin Liu and Wei Zhou. Their work appears in journals such as Current Stem Cell Research & Therapy, BioMed Research International, Cancer Medicine, BMC Surgery and Journal of Cellular Biochemistry.

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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