Yaju Wang

481 citations
37 papers · 373 · h-index 11

Impact in

    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • Muscle Physiology and Disorders
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research

Papers in

Yaju Wang

36 papers receiving 366 citations

Peers

Yaju Wang
Comparison fields: 5 of 95
  • Molecular Biology 210
  • Cancer Research 35
  • Biochemistry 12
  • Animal Science and Zoology 21
  • Pathology and Forensic Medicine 32
Replace Haoli Wang with:
Haoli Wang China
Chunliang Yang China
Junqi Li China
Jianbin Guo China
Bing Zhou China
Maren Scharfenberger‐Schmeer Germany
Mehri Azadbakht Iran
Dengke Li China
Mei Hui Liu Singapore
Yaju Wang relative to Haoli Wang China Haoli Wang's profile →
Citations per field
00.5×3.8×
Haoli Wang · 1×
Citations per year

Countries citing papers authored by Yaju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201149
2 200443
3 201239
4 201632
5 201226
6 201924
7 201723
8 202423
9 201322
10 201319
11 201913
12 20108
13 20108
14 20237
15 20247
16 20223
17 20253
18
[Second structure of the protein factions from lotus seeds].
20113
19
Characteristics of temperature and relative humidity of Cave 87,Mogao Grottoes
20142
20 20102

About Yaju Wang

Yaju Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Analytical Chemistry, Genetics and Mechanical Engineering, having authored 37 papers that have together received 373 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers), Power Systems and Renewable Energy (3 papers), Chromatography in Natural Products (3 papers), RNA modifications and cancer (3 papers), Muscle Physiology and Disorders (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Molecular Biology (210 citations), Cancer Research (35 citations), Biochemistry (12 citations), Animal Science and Zoology (21 citations) and Pathology and Forensic Medicine (32 citations). Yaju Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Shilpa Rani Shankar, Reshma Taneja, Belinda Mei Tze Ling, Hong‐Yan Zeng, Yuqin Li, Narendra Bharathy, Wai Kay Kok, Vinay Kumar Rao, Suma Gopinadhan and Roland Großmann. Their work appears in journals such as Development, Cyberpsychology Behavior and Social Networking, Viruses, Molecular Biology of the Cell and Frontiers in Chemistry.

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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