Weimin Nie

45 total papers · 1.5k total citations
24 papers, 713 citations indexed

About

Weimin Nie is a scholar working on Molecular Biology, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Weimin Nie has authored 24 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Biomedical Engineering. Recurrent topics in Weimin Nie's work include Nanoplatforms for cancer theranostics (5 papers), Advanced Nanomaterials in Catalysis (4 papers) and Gut microbiota and health (4 papers). Weimin Nie is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Advanced Nanomaterials in Catalysis (4 papers) and Gut microbiota and health (4 papers). Weimin Nie collaborates with scholars based in China, United States and Montenegro. Weimin Nie's co-authors include Jinjin Shi, Junjie Liu, Xinyuan Yang, Kaixiang Zhang, Hui Cheng, Jiali Yang, Fu‐Sheng Wang, Mengyun Peng, Junliang Fu and Zhenzhong Zhang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Weimin Nie

24 papers receiving 704 citations

Hit Papers

Physiologically Inspired ... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Weimin Nie 222 183 147 117 99 24 713
Chao Shen 129 0.6× 369 2.0× 79 0.5× 97 0.8× 87 0.9× 54 792
Qihui Liu 126 0.6× 197 1.1× 183 1.2× 98 0.8× 133 1.3× 56 891
Sadayori Hoshina 149 0.7× 312 1.7× 100 0.7× 53 0.5× 41 0.4× 33 729
Omid Gholizadeh 82 0.4× 318 1.7× 99 0.7× 75 0.6× 56 0.6× 31 772
Murray F. Broom 265 1.2× 357 2.0× 57 0.4× 62 0.5× 53 0.5× 29 815
Jacob T. Martin 125 0.6× 293 1.6× 286 1.9× 221 1.9× 56 0.6× 23 901
Akhilesh Kumar Shakya 148 0.7× 270 1.5× 81 0.6× 215 1.8× 29 0.3× 33 883
Kenny Chitcholtan 224 1.0× 323 1.8× 59 0.4× 114 1.0× 50 0.5× 30 895
Amira Abugomaa 285 1.3× 197 1.1× 46 0.3× 25 0.2× 34 0.3× 30 889
Manjeet Deshmukh 170 0.8× 229 1.3× 46 0.3× 46 0.4× 65 0.7× 15 804

Countries citing papers authored by Weimin Nie

Since Specialization
Citations

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

Fields of papers citing papers by Weimin Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weimin Nie

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