Dié Tang

27 total papers · 1.7k total citations
20 papers, 1.0k citations indexed

About

Dié Tang is a scholar working on Plant Science, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Dié Tang has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Health, Toxicology and Mutagenesis and 5 papers in Atmospheric Science. Recurrent topics in Dié Tang's work include Plant Pathogens and Resistance (9 papers), Plant Disease Resistance and Genetics (6 papers) and Chromosomal and Genetic Variations (6 papers). Dié Tang is often cited by papers focused on Plant Pathogens and Resistance (9 papers), Plant Disease Resistance and Genetics (6 papers) and Chromosomal and Genetic Variations (6 papers). Dié Tang collaborates with scholars based in China, United States and Netherlands. Dié Tang's co-authors include Sanwen Huang, Chunzhi Zhang, Zhongmin Yang, Dawei Li, Pei Wang, Canhui Li, Yi Shang, Zhen Peng, Yu Zhan and C. Robin Buell and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Dié Tang

19 papers receiving 1.0k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Dié Tang	739	355	213	121	81	20	1.0k
Lorenz Gerber	745 1.0×	609 1.7×	88 0.4×	16 0.1×	9 0.1×	25	1.2k
Anni Harju	308 0.4×	305 0.9×	48 0.2×	101 0.8×	8 0.1×	49	1.1k
Srinivasan Ramachandran	592 0.8×	630 1.8×	16 0.1×	88 0.7×	22 0.3×	24	1.1k
Inge Theisen	690 0.9×	199 0.6×	73 0.3×	46 0.4×	6 0.1×	11	966
J.R. Mosedale	421 0.6×	94 0.3×	521 2.4×	18 0.1×	19 0.2×	21	926
Xuefeng Yao	771 1.0×	310 0.9×	14 0.1×	104 0.9×	44 0.5×	44	1.0k
Kristin Bohm	493 0.7×	186 0.5×	79 0.4×	38 0.3×	15 0.2×	11	811
J. F. Franklin	641 0.9×	392 1.1×	91 0.4×	49 0.4×	4 0.0×	23	818
Guishan Zhang	404 0.5×	279 0.8×	28 0.1×	27 0.2×	22 0.3×	18	871
Katrien De Maeyer	486 0.7×	180 0.5×	20 0.1×	35 0.3×	328 4.0×	15	1.2k

Countries citing papers authored by Dié Tang

Since Specialization

Citations

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

Fields of papers citing papers by Dié Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dié Tang

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