Ding Huang

31 total papers · 811 total citations
28 papers, 573 citations indexed

About

Ding Huang is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Ding Huang has authored 28 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Plant Science and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Ding Huang's work include Plant Gene Expression Analysis (16 papers), Plant biochemistry and biosynthesis (10 papers) and Plant Molecular Biology Research (10 papers). Ding Huang is often cited by papers focused on Plant Gene Expression Analysis (16 papers), Plant biochemistry and biosynthesis (10 papers) and Plant Molecular Biology Research (10 papers). Ding Huang collaborates with scholars based in China, United States and United Kingdom. Ding Huang's co-authors include Xiuxin Deng, Qiang Xu, Yue Yuan, Rongshao Huang, Shaochang Yao, Yuantao Xu, Jiaxian He, Yong Zi Tan, Jialing Fu and Ruhong Ming and has published in prestigious journals such as Scientific Reports, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Ding Huang

27 papers receiving 567 citations

Author Peers

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

Author Last Decade Papers Cites
Ding Huang 456 339 117 39 23 28 573
Xianghui Yang 330 0.7× 354 1.0× 96 0.8× 45 1.2× 15 0.7× 35 513
Congxi Cai 352 0.8× 530 1.6× 79 0.7× 41 1.1× 9 0.4× 16 648
Yuanyuan Cui 412 0.9× 324 1.0× 77 0.7× 31 0.8× 8 0.3× 24 638
Leiming Sun 444 1.0× 449 1.3× 90 0.8× 30 0.8× 7 0.3× 40 673
Ruhong Ming 336 0.7× 481 1.4× 31 0.3× 41 1.1× 24 1.0× 23 596
Wenyi Duan 273 0.6× 390 1.2× 108 0.9× 63 1.6× 9 0.4× 28 589
Junheng Lv 328 0.7× 351 1.0× 102 0.9× 42 1.1× 7 0.3× 43 544
Xu Yang 321 0.7× 473 1.4× 50 0.4× 22 0.6× 12 0.5× 46 647
Seung Hee Eom 289 0.6× 372 1.1× 55 0.5× 44 1.1× 17 0.7× 30 551
Qinggang Yin 510 1.1× 256 0.8× 100 0.9× 66 1.7× 78 3.4× 27 656

Countries citing papers authored by Ding Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ding Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Huang

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