Wen‐Feng Nie

35 total papers · 1.1k total citations
26 papers, 649 citations indexed

About

Wen‐Feng Nie is a scholar working on Plant Science, Molecular Biology and Civil and Structural Engineering. According to data from OpenAlex, Wen‐Feng Nie has authored 26 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Molecular Biology and 2 papers in Civil and Structural Engineering. Recurrent topics in Wen‐Feng Nie's work include Plant Molecular Biology Research (14 papers), Plant nutrient uptake and metabolism (6 papers) and Plant Gene Expression Analysis (6 papers). Wen‐Feng Nie is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant nutrient uptake and metabolism (6 papers) and Plant Gene Expression Analysis (6 papers). Wen‐Feng Nie collaborates with scholars based in China, United States and India. Wen‐Feng Nie's co-authors include Jian‐Kang Zhu, Kai Tang, Yanhong Zhou, Jing Yu, Mengmeng Wang, Xiaojian Xia, Kai Shi, Zhixiang Chen, Zhaobo Lang and Xingang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Wen‐Feng Nie

24 papers receiving 646 citations

Author Peers

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

Author						Papers	Cites
Wen‐Feng Nie	553	387	18	14	12	26	649
Zhenying Peng	544 1.0×	433 1.1×	14 0.8×	25 1.8×	13 1.1×	34	728
Lu Wang	640 1.2×	420 1.1×	23 1.3×	14 1.0×	6 0.5×	18	755
Yao Wang	646 1.2×	408 1.1×	11 0.6×	19 1.4×	10 0.8×	37	763
Serge Remy	534 1.0×	487 1.3×	20 1.1×	17 1.2×	7 0.6×	35	732
Hongtao Zhao	527 1.0×	389 1.0×	12 0.7×	20 1.4×	11 0.9×	24	652
Maureen Hummel	567 1.0×	393 1.0×	16 0.9×	11 0.8×	8 0.7×	14	760
Feng Li	529 1.0×	351 0.9×	13 0.7×	16 1.1×	9 0.8×	28	597
Qiutao Xu	498 0.9×	305 0.8×	23 1.3×	7 0.5×	9 0.8×	24	633
Saurabh Chaudhary	366 0.7×	336 0.9×	36 2.0×	16 1.1×	28 2.3×	21	566
Han Lu	376 0.7×	427 1.1×	11 0.6×	9 0.6×	10 0.8×	18	587

Countries citing papers authored by Wen‐Feng Nie

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Feng Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Feng Nie

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