Zongwen Tang

567 total citations
9 papers, 491 citations indexed

About

Zongwen Tang is a scholar working on Plant Science, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zongwen Tang has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zongwen Tang's work include Mycotoxins in Agriculture and Food (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Zongwen Tang is often cited by papers focused on Mycotoxins in Agriculture and Food (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Zongwen Tang collaborates with scholars based in China, United States and Macao. Zongwen Tang's co-authors include Xing Liu, Yang Xu, Bruce D. Hammock, Zhichang Sun, Qi Chen, Jingwen Lv, Zhenhua Duan, Hongmei Cao, Benchao Su and Yong‐Huan Yun and has published in prestigious journals such as Analytical Chemistry, Journal of Hazardous Materials and Environmental Pollution.

In The Last Decade

Zongwen Tang

9 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zongwen Tang China	9	358	209	168	129	56	9	491
Yulou Qiu China	13	353 1.0×	195 0.9×	154 0.9×	166 1.3×	43 0.8×	22	530
Jiawen Lei China	10	223 0.6×	99 0.5×	129 0.8×	110 0.9×	49 0.9×	15	364
Chongxin Xu China	15	461 1.3×	161 0.8×	94 0.6×	162 1.3×	40 0.7×	54	643
Benchao Su China	11	268 0.7×	158 0.8×	54 0.3×	87 0.7×	62 1.1×	20	348
Paul P. Dillon Ireland	11	315 0.9×	178 0.9×	103 0.6×	125 1.0×	14 0.3×	14	540
Wenwei Ma China	8	350 1.0×	286 1.4×	76 0.5×	21 0.2×	53 0.9×	10	478
Stephen J. Daly Ireland	10	283 0.8×	156 0.7×	116 0.7×	103 0.8×	10 0.2×	13	473
Gregory Penner France	8	714 2.0×	462 2.2×	188 1.1×	23 0.2×	77 1.4×	11	810
Jinxin He China	12	207 0.6×	123 0.6×	19 0.1×	73 0.6×	59 1.1×	31	401

Countries citing papers authored by Zongwen Tang

Since Specialization

Citations

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

Fields of papers citing papers by Zongwen Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongwen Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zongwen Tang. A scholar is included among the top collaborators of Zongwen Tang 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 Zongwen Tang. Zongwen Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Su, Benchao, Zhong Zhang, Zhichang Sun, et al.. (2021). Fluonanobody-based nanosensor via fluorescence resonance energy transfer for ultrasensitive detection of ochratoxin A. Journal of Hazardous Materials. 422. 126838–126838. 65 indexed citations

Tang, Zongwen, Xing Liu, Benchao Su, et al.. (2019). Ultrasensitive and rapid detection of ochratoxin A in agro-products by a nanobody-mediated FRET-based immunosensor. Journal of Hazardous Materials. 387. 121678–121678. 69 indexed citations

Sun, Zhichang, et al.. (2019). Development of a biotin-streptavidin-amplified nanobody-based ELISA for ochratoxin A in cereal. Ecotoxicology and Environmental Safety. 171. 382–388. 60 indexed citations

Tang, Zongwen, Xing Liu, Yuanyuan Wang, et al.. (2019). Nanobody-based fluorescence resonance energy transfer immunoassay for noncompetitive and simultaneous detection of ochratoxin a and ochratoxin B. Environmental Pollution. 251. 238–245. 40 indexed citations

Sun, Zhichang, Jingwen Lv, Xing Liu, et al.. (2018). Development of a Nanobody-AviTag Fusion Protein and Its Application in a Streptavidin–Biotin-Amplified Enzyme-Linked Immunosorbent Assay for Ochratoxin A in Cereal. Analytical Chemistry. 90(17). 10628–10634. 84 indexed citations

Sun, Zhichang, et al.. (2018). Nanobody-Alkaline Phosphatase Fusion Protein-Based Enzyme-Linked Immunosorbent Assay for One-Step Detection of Ochratoxin A in Rice. Sensors. 18(11). 4044–4044. 23 indexed citations

Tang, Zongwen, et al.. (2018). One-step detection of ochratoxin A in cereal by dot immunoassay using a nanobody-alkaline phosphatase fusion protein. Food Control. 92. 430–436. 35 indexed citations

Sun, Zhichang, et al.. (2017). Development of a Nanobody-Based Competitive Dot ELISA for Visual Screening of Ochratoxin A in Cereals. Food Analytical Methods. 10(11). 3558–3564. 38 indexed citations

Liu, Xing, Zongwen Tang, Zhenhua Duan, et al.. (2016). Nanobody-based enzyme immunoassay for ochratoxin A in cereal with high resistance to matrix interference. Talanta. 164. 154–158. 77 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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