Sujing Zhang

26 papers and 221 indexed citations i.

About

Sujing Zhang is a scholar working on Surgery, Atomic and Molecular Physics, and Optics and Toxicology. According to data from OpenAlex, Sujing Zhang has authored 26 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Toxicology. Recurrent topics in Sujing Zhang’s work include Forensic Toxicology and Drug Analysis (4 papers), Poisoning and overdose treatments (3 papers) and Online Learning and Analytics (3 papers). Sujing Zhang is often cited by papers focused on Forensic Toxicology and Drug Analysis (4 papers), Poisoning and overdose treatments (3 papers) and Online Learning and Analytics (3 papers). Sujing Zhang collaborates with scholars based in China and New Zealand. Sujing Zhang's co-authors include Ping Xiang, Tanxiao Huang, Li Yu, Lele Song, Jianfei Yao, Xiaoliang Liu, Min Shen, Baohua Shen, Xin Wang and He Li and has published in prestigious journals such as Scientific Reports, Frontiers in Psychology and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Sujing Zhang i

Fields of papers citing papers by Sujing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sujing Zhang

Since Specialization
Citations

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

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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2025