Zheng Nie

47 total papers · 748 total citations
33 papers, 520 citations indexed

About

Zheng Nie is a scholar working on Parasitology, Molecular Biology and Immunology. According to data from OpenAlex, Zheng Nie has authored 33 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Parasitology, 8 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Zheng Nie's work include Vector-borne infectious diseases (12 papers), Nanoplatforms for cancer theranostics (5 papers) and Toxin Mechanisms and Immunotoxins (5 papers). Zheng Nie is often cited by papers focused on Vector-borne infectious diseases (12 papers), Nanoplatforms for cancer theranostics (5 papers) and Toxin Mechanisms and Immunotoxins (5 papers). Zheng Nie collaborates with scholars based in China, United States and Kuwait. Zheng Nie's co-authors include Huiying Liu, Yong-qin Kuang, Xin Chen, Jingmin Cheng, Sixun Yu, Tao Yang, Haifeng Shu, Junlong Zhao, Sen Wang and Linling Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and ACS Nano.

In The Last Decade

Zheng Nie

31 papers receiving 515 citations

Hit Papers

The Role of BDNF on Neura... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Zheng Nie 114 109 92 70 67 33 520
Lauriston Kellaway 95 0.8× 258 2.4× 49 0.5× 11 0.2× 102 1.5× 32 590
Angelina Rodríguez 263 2.3× 146 1.3× 25 0.3× 14 0.2× 22 0.3× 30 616
Maureen N. Cowan 174 1.5× 132 1.2× 72 0.8× 7 0.1× 39 0.6× 13 601
Xiaoyun Dou 137 1.2× 52 0.5× 86 0.9× 53 0.8× 68 1.0× 19 475
Fangyuan Yin 192 1.7× 131 1.2× 18 0.2× 17 0.2× 13 0.2× 36 516
Johan Brask 135 1.2× 145 1.3× 59 0.6× 47 0.7× 34 0.5× 15 567
Jinxia Dai 276 2.4× 198 1.8× 36 0.4× 18 0.3× 51 0.8× 36 593
Anabel Jiménez‐Anguiano 97 0.9× 103 0.9× 165 1.8× 16 0.2× 119 1.8× 39 598
Renata de Moraes Maciel 301 2.6× 145 1.3× 40 0.4× 62 0.9× 4 0.1× 22 565
Scott J. Mitchell 133 1.2× 148 1.4× 41 0.4× 3 0.0× 77 1.1× 19 506

Countries citing papers authored by Zheng Nie

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Nie. A scholar is included among the top collaborators of Zheng Nie 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 Zheng Nie. Zheng Nie 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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