Baojin Wang

462 citations
25 papers · 319 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • RNA Research and Splicing 2
    • Circular RNAs in diseases 2
    • FOXO transcription factor regulation 2
    • RNA modifications and cancer 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Baojin Wang

23 papers receiving 317 citations

Peers

Baojin Wang
Comparison fields: 5 of 73
  • Cancer Research 112
  • Molecular Biology 169
  • Reproductive Medicine 13
  • Health Informatics 2
  • Oncology 36
Replace Xu Xiao with:
Xu Xiao China
Lola Martínez Spain
Namrata Khurana United States
Dan Guo China
Yuchang Hu China
Tanuja Yadav India
Xiaowei Meng China
Hengzi Sun China
Baojin Wang relative to Xu Xiao China Xu Xiao's profile →
Citations per field
00.5×1.5×2.2×
Xu Xiao · 1×
Citations per year

Countries citing papers authored by Baojin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baojin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 201932
3 201726
4 202021
5 202321
6 202121
7 202120
8 202218
9 202115
10 202013
11 202311
12 202311
13 20239
14 20227
15 20246
16 20155
17 20225
18 20215
19 20224
20 20114

About Baojin Wang

Baojin Wang is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Complementary and alternative medicine and Computer Networks and Communications, having authored 25 papers that have together received 319 indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (4 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Nanoplatforms for cancer theranostics (2 papers), RNA Research and Splicing (2 papers), Circular RNAs in diseases (2 papers), FOXO transcription factor regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (112 citations), Molecular Biology (169 citations), Reproductive Medicine (13 citations), Health Informatics (2 citations) and Oncology (36 citations). Baojin Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Peixin Dong, Junming Yue, Hidemichi Watari, Guannan Zhao, Lawrence M. Pfeffer, Chenchen Ren, Wěi Li, Huan Yan, Michelle Sims and Yuqi Guo. Their work appears in journals such as Scientific Reports, Molecules, Frontiers in Cell and Developmental Biology, Cancer Gene Therapy and Free Radical Biology and Medicine.

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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