Ru Zang

839 total citations
21 papers, 680 citations indexed

About

Ru Zang is a scholar working on Biomedical Engineering, Molecular Biology and Immunology. According to data from OpenAlex, Ru Zang has authored 21 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 11 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Ru Zang's work include 3D Printing in Biomedical Research (9 papers), interferon and immune responses (8 papers) and Pluripotent Stem Cells Research (4 papers). Ru Zang is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), interferon and immune responses (8 papers) and Pluripotent Stem Cells Research (4 papers). Ru Zang collaborates with scholars based in China, United States and Brunei. Ru Zang's co-authors include Shang‐Tian Yang, Hong‐Bing Shu, Qing Yang, Huan Lian, Kevin Yang, Jin Wei, Ming‐Ming Hu, Ning Liu, Shu Li and Xianan Zhang and has published in prestigious journals such as Nature Communications, Immunity and PLoS Pathogens.

In The Last Decade

Ru Zang

21 papers receiving 676 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ru Zang China	13	329	260	227	91	82	21	680
Jie Liang China	13	512 1.6×	261 1.0×	401 1.8×	116 1.3×	42 0.5×	19	1.1k
Lisa Goers United States	6	576 1.8×	175 0.7×	239 1.1×	35 0.4×	60 0.7×	9	966
Gregory R. Robbins United States	11	398 1.2×	356 1.4×	180 0.8×	163 1.8×	40 0.5×	12	960
Jiafei Zhu China	15	211 0.6×	143 0.6×	223 1.0×	137 1.5×	55 0.7×	22	686
Yizong Hu United States	16	690 2.1×	127 0.5×	214 0.9×	205 2.3×	68 0.8×	20	1.2k
Perla Filippini Italy	16	260 0.8×	164 0.6×	88 0.4×	60 0.7×	110 1.3×	32	813
Rachel Truitt United States	10	274 0.8×	82 0.3×	184 0.8×	59 0.6×	194 2.4×	10	681
Alessandra Lopes Belgium	12	403 1.2×	403 1.6×	175 0.8×	182 2.0×	52 0.6×	13	1.0k
Yi Yin China	18	260 0.8×	182 0.7×	154 0.7×	31 0.3×	30 0.4×	44	916
C. Hotz Germany	15	181 0.6×	317 1.2×	90 0.4×	49 0.5×	43 0.5×	27	726

Countries citing papers authored by Ru Zang

Since Specialization

Citations

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

Fields of papers citing papers by Ru Zang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ru Zang

This figure shows the co-authorship network connecting the top 25 collaborators of Ru Zang. A scholar is included among the top collaborators of Ru Zang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ru Zang. Ru Zang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guo, Wei, Jin Wei, Ru Zang, et al.. (2021). Correction to: SNX8 modulates the innate immune response to RNA viruses by regulating the aggregation of VISA. Cellular and Molecular Immunology. 18(6). 1613–1614. 1 indexed citations

Lian, Huan, Jin Wei, Ru Zang, et al.. (2021). Author Correction: ZCCHC3 is a co-sensor of cGAS for dsDNA recognition in innate immune response. Nature Communications. 12(1). 5526–5526. 2 indexed citations

Feng, Lu, et al.. (2020). ZFYVE1 negatively regulates MDA5- but not RIG-I-mediated innate antiviral response. PLoS Pathogens. 16(4). e1008457–e1008457. 18 indexed citations

Zang, Ru, et al.. (2020). ZCCHC3 modulates TLR3-mediated signaling by promoting recruitment of TRIF to TLR3. Journal of Molecular Cell Biology. 12(4). 251–262. 26 indexed citations

Guo, Wei, Jin Wei, Ru Zang, et al.. (2019). SNX8 modulates the innate immune response to RNA viruses by regulating the aggregation of VISA. Cellular and Molecular Immunology. 17(11). 1126–1135. 21 indexed citations

Zang, Ru, Xin Xin, Fengli Zhang, Ding Li, & Shang‐Tian Yang. (2019). An engineered mouse embryonic stem cell model with survivin as a molecular marker and EGFP as the reporter for high throughput screening of embryotoxic chemicals in vitro. Biotechnology and Bioengineering. 116(7). 1656–1668. 5 indexed citations

Wei, Jin, Huan Lian, Wei Guo, et al.. (2018). SNX8 modulates innate immune response to DNA virus by mediating trafficking and activation of MITA. PLoS Pathogens. 14(10). e1007336–e1007336. 34 indexed citations

Lian, Huan, Jin Wei, Ru Zang, et al.. (2018). ZCCHC3 is a co-sensor of cGAS for dsDNA recognition in innate immune response. Nature Communications. 9(1). 3349–3349. 115 indexed citations

Xin, Xin, Yongqi Wu, Ru Zang, & Shang‐Tian Yang. (2018). A fluorescent 3D cell culture assay for high throughput screening of cancer drugs down-regulating survivin. Journal of Biotechnology. 289. 80–87. 10 indexed citations

10.

Lian, Huan, Ru Zang, Jin Wei, et al.. (2018). The Zinc-Finger Protein ZCCHC3 Binds RNA and Facilitates Viral RNA Sensing and Activation of the RIG-I-like Receptors. Immunity. 49(3). 438–448.e5. 110 indexed citations

11.

Zang, Ru, et al.. (2016). In vitro 3-D multicellular models for cytotoxicity assay and drug screening. Process Biochemistry. 51(6). 772–780. 10 indexed citations

12.

Liu, Ning, Ru Zang, Shang‐Tian Yang, & Yan Li. (2013). Stem cell engineering in bioreactors for large‐scale bioprocessing. Engineering in Life Sciences. 14(1). 4–15. 47 indexed citations

13.

Ding, Li, Sarah Isherwood, Andrew R Motz, et al.. (2013). Cell‐based screening of traditional chinese medicines for proliferation enhancers of mouse embryonic stem cells. Biotechnology Progress. 29(3). 738–744. 12 indexed citations

14.

Zang, Ru, et al.. (2013). Cell-based high-throughput proliferation and cytotoxicity assays for screening traditional Chinese herbal medicines. Process Biochemistry. 48(3). 517–524. 16 indexed citations

15.

Zang, Ru. (2012). Development of 3-D Microbioreactor Systems for Cell-Based High Throughput Screening. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

16.

Zang, Ru, et al.. (2012). Cell-Based Assays in High-Throughput Screening for Drug Discovery. 1(1). 31–51. 59 indexed citations

17.

Zang, Ru & Shang‐Tian Yang. (2012). Multiwalled carbon nanotube-coated polyethylene terephthalate fibrous matrices for enhanced neuronal differentiation of mouse embryonic stem cells. Journal of Materials Chemistry B. 1(5). 646–653. 21 indexed citations

18.

Zang, Ru, et al.. (2012). A 24-microwell plate with improved mixing and scalable performance for high throughput cell cultures. Process Biochemistry. 47(4). 612–618. 20 indexed citations

19.

Zang, Ru, et al.. (2012). Microwell bioreactor system for cell-based high throughput proliferation and cytotoxicity assays. Process Biochemistry. 48(1). 78–88. 8 indexed citations

20.

Huang, Lei, Peilian Wei, Ru Zang, Zhinan Xu, & Peilin Cen. (2010). High-throughput screening of high-yield colonies of Rhizopus oryzae for enhanced production of fumaric acid. Annals of Microbiology. 60(2). 287–292. 31 indexed citations

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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