Chenran Wang

1.6k citations
23 papers · 1.3k · 1 hit paper · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy

Papers in

    • Protein Structure and Dynamics 3
    • Epigenetics and DNA Methylation 3
    • Glycosylation and Glycoproteins Research 2
    • Angiogenesis and VEGF in Cancer 2
    • Cancer, Hypoxia, and Metabolism 2

Chenran Wang

22 papers receiving 1.3k citations

Chenran Wang's Hit Papers

Autophagy and multidrug resistance in cancer 2017 · 573 citations
5730+3+6Years since publication100200300400500

Peers

Chenran Wang
Comparison fields: 5 of 99
  • Cancer Research 249
  • Epidemiology 288
  • Molecular Biology 618
  • Oncology 208
  • Geriatrics and Gerontology 27
Replace Dolores Aguilar‐Cázares with:
Dolores Aguilar‐Cázares Mexico
Alok Ranjan India
Hossein Saleki Iran
Xiao Jun Yao China
Maochao Luo China
Yizeng Fan China
Chandan Kanta Das India
Pierre L. Bischoff France
Ruonan Zhang China
Chong Zhao China
Chenran Wang relative to Dolores Aguilar‐Cázares Mexico Dolores Aguilar‐Cázares's profile →
Citations per field
00.5×1.7×
Dolores Aguilar‐Cázares · 1×
Citations per year

Countries citing papers authored by Chenran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autophagy and multidrug resistance in cancer
Hit paper breakdown →
2017573
2 2019129
3 2022122
4 2022104
5 202087
6 201945
7 201542
8 202035
9 202332
10 202320
11 202316
12 202214
13 202310
14 20219
15 20208
16 20257
17 20235
18 20215
19 20253
20 20233

About Chenran Wang

Chenran Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Computational Theory and Mathematics, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (2 papers), Computational Drug Discovery Methods (2 papers), Autophagy in Disease and Therapy (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (249 citations), Epidemiology (288 citations), Molecular Biology (618 citations), Oncology (208 citations) and Geriatrics and Gerontology (27 citations). Chenran Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Dong-Mei Zhang, Wen‐Cai Ye, Zhe‐Sheng Chen, Nan Yao, Yingjie Li, Yuhe Lei, Nan Hu, Minfeng Chen, Maohua Huang and Lijuan Deng. Their work appears in journals such as Drug Resistance Updates, Signal Transduction and Targeted Therapy, Nature Communications, Advanced Science and Nature Metabolism.

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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