Nan Shi

94 total papers · 2.2k total citations
58 papers, 649 citations indexed

About

Nan Shi is a scholar working on Molecular Biology, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Nan Shi has authored 58 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Mechanical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Nan Shi's work include Antibiotic Resistance in Bacteria (4 papers), Plant biochemistry and biosynthesis (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). Nan Shi is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Plant biochemistry and biosynthesis (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). Nan Shi collaborates with scholars based in China, United States and Japan. Nan Shi's co-authors include Dapeng Zhu, Zhen Shi, Yusheng Yuan, Lin Wen, Lizhong Zhao, Xuefeng Zhang, Lianze Ji, Liang Hu, Huawei Rong and Luqing Zhang and has published in prestigious journals such as Environmental Science & Technology, Advanced Functional Materials and Water Research.

In The Last Decade

Nan Shi

48 papers receiving 644 citations

Hit Papers

Constructing Superhydroph... 2023 2026 2024 2023 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nan Shi 106 94 84 69 66 58 649
Jong‐Kyu Lee 44 0.4× 85 0.9× 10 0.1× 89 1.3× 67 1.0× 84 558
Yoon Yoon 38 0.4× 201 2.1× 37 0.4× 64 0.9× 37 0.6× 101 735
Lei Zhang 13 0.1× 157 1.7× 41 0.5× 63 0.9× 87 1.3× 64 779
Zhenzhou Li 46 0.4× 97 1.0× 6 0.1× 51 0.7× 42 0.6× 51 668
Zhongxing Wang 60 0.6× 75 0.8× 16 0.2× 28 0.4× 16 0.2× 47 639
Jingran Wang 19 0.2× 77 0.8× 79 0.9× 156 2.3× 106 1.6× 64 651
Mengmeng Han 40 0.4× 334 3.6× 11 0.1× 29 0.4× 15 0.2× 51 741
Yinuo Chen 16 0.2× 66 0.7× 15 0.2× 46 0.7× 26 0.4× 52 631
Qing Xu 49 0.5× 51 0.5× 24 0.3× 104 1.5× 51 0.8× 40 562
Juan Carlos Martínez 24 0.2× 98 1.0× 48 0.6× 137 2.0× 63 1.0× 72 773

Countries citing papers authored by Nan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Nan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Shi

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

All Works

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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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