Ru Wen

1.6k citations
35 papers · 1.2k · h-index 16

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • RNA Interference and Gene Delivery 3
    • ATP Synthase and ATPases Research 3
    • Mitochondrial Function and Pathology 3
    • Immunotherapy and Immune Responses 6
    • Galectins and Cancer Biology 2

Ru Wen

31 papers receiving 1.2k citations

Peers

Ru Wen
Comparison fields: 5 of 112
  • Biomaterials 182
  • Immunology 246
  • Cancer Research 115
  • Molecular Biology 513
  • Oncology 184
Replace Cailin Chen with:
Cailin Chen United States
Syed Mohd Faisal India
Liqian Zhou China
Zhenzhong Zhang China
Nilesh Kumar Sharma India
Qian Zeng China
Ting Yan China
Lei Qin China
Huimin Tao China
Shunsuke Tomita Japan
Ru Wen relative to Cailin Chen United States Cailin Chen's profile →
Citations per field
00.5×1.5×2.4×
Cailin Chen · 1×
Citations per year

Countries citing papers authored by Ru Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ru Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 2019149
3 2019149
4 2019111
5 2016110
6 201689
7 201886
8 201756
9 202049
10 201835
11 201830
12 201619
13 201719
14 202217
15 202317
16 202216
17 201415
18 202213
19 201712
20 201611

About Ru Wen

Ru Wen is a scholar working on Molecular Biology, Immunology, Biomaterials, Biomedical Engineering and Oncology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (5 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Interference and Gene Delivery (3 papers), ATP Synthase and ATPases Research (3 papers), Mitochondrial Function and Pathology (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Biomaterials (182 citations), Immunology (246 citations), Cancer Research (115 citations), Molecular Biology (513 citations) and Oncology (184 citations). Ru Wen has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Shanta Dhar, Jian Xu, Rakesh Pathak, Afoma C. Umeano, Bhabatosh Banik, Ammad Ahmad Farooqı, Nagesh Kolishetti, Wenjuan Liu, Ming Yang and Yue Du. Their work appears in journals such as Cancer Research, International Journal of Molecular Sciences, Journal of Cellular Biochemistry, Advanced Therapeutics and International Journal of Surgery.

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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