Qiling Tang

486 citations
19 papers · 354 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 4
    • Genomics, phytochemicals, and oxidative stress 3
    • RNA Research and Splicing 2
    • Cell death mechanisms and regulation 2
    • Peptidase Inhibition and Analysis 3

Qiling Tang

18 papers receiving 351 citations

Peers

Qiling Tang
Comparison fields: 5 of 72
  • Cancer Research 125
  • Molecular Medicine 31
  • Molecular Biology 249
  • Oncology 60
  • Complementary and alternative medicine 15
Replace Meina Ye with:
Meina Ye China
Letizia Vallino Italy
Kein Seong Mun Malaysia
Yasemin Başbınar Türkiye
Lidong Liu China
Sayantan Bose India
Santosh Kumar Behera India
Feipeng Zhao China
Xianzhou Lu China
Qiling Tang relative to Meina Ye China Meina Ye's profile →
Citations per field
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Meina Ye · 1×
Citations per year

Countries citing papers authored by Qiling Tang

Since Specialization
Citations

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

Fields of papers citing papers by Qiling Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202385
2 201847
3 201732
4 202230
5 201527
6 201924
7 201620
8 202015
9 202112
10 201412
11 202210
12 202010
13 20227
14 20197
15 20215
16 20244
17 20214
18
A preliminary study on the anticancer efficacy of Caulis spatholobi compound 1802.
20183
19 20250

About Qiling Tang

Qiling Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Plant Science, having authored 19 papers that have together received 354 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Peptidase Inhibition and Analysis (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Phytochemistry and Biological Activities (2 papers), Curcumin's Biomedical Applications (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (125 citations), Molecular Medicine (31 citations), Molecular Biology (249 citations), Oncology (60 citations) and Complementary and alternative medicine (15 citations). Qiling Tang has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Junkai Zhang, Xiaoli Zheng, Chenyu Guo, Wenwen Zheng, Linquan Zang, Shengqiang Yu, Fuyan Wang, Lvyuan Li, Wei Xiong and Can Guo. Their work appears in journals such as Cancer Medicine, Cytometry Part A, Cell Death Discovery, British Journal of Cancer and Oncology 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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