Ding Tang

4.9k citations
93 papers · 3.7k · h-index 38

Impact in

  • Plant Science top 0.5%
    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant Genetic and Mutation Studies
    • Photosynthetic Processes and Mechanisms
    • DNA Repair Mechanisms
    • Plant Reproductive Biology

Papers in

    • DNA Repair Mechanisms 37
    • Photosynthetic Processes and Mechanisms 23
    • Plant Reproductive Biology 16
    • Plant Molecular Biology Research 22
    • Chromosomal and Genetic Variations 19
    • Plant Genetic and Mutation Studies 7

Ding Tang

93 papers receiving 3.7k citations

Peers

Ding Tang
Comparison fields: 5 of 108
  • Plant Science 2.6k
  • Molecular Biology 2.4k
  • Cell Biology 331
  • Genetics 515
  • Biochemistry 66
Replace Yukihisa Shimada with:
Yukihisa Shimada Japan
Hak Soo Seo South Korea
Jürgen Ehlting Canada
Wenming Wang China
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Hang He China
Seonghoe Jang South Korea
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Steven D. Clouse United States
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Ding Tang relative to Yukihisa Shimada Japan Yukihisa Shimada's profile →
Citations per field
00.5×1.5×2.5×
Yukihisa Shimada · 1×
Citations per year

Countries citing papers authored by Ding Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ding Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ding Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding Tang Line = papers co-authored together Ding Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016204
2 2012174
3 2009155
4 2010154
5 2011145
6 2012116
7 2010113
8 2011113
9 2014111
10 2010101
11 2016100
12 201296
13 200995
14 201383
15 201181
16 201279
17 200971
18 201067
19 201064
20 201661

About Ding Tang

Ding Tang is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 93 papers that have together received 3.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (37 papers), Photosynthetic Processes and Mechanisms (23 papers), Plant Molecular Biology Research (22 papers), Microtubule and mitosis dynamics (20 papers), Chromosomal and Genetic Variations (19 papers), Plant Reproductive Biology (16 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant Genetic and Mutation Studies (7 papers). The work is most often cited by research in Plant Science (2.6k citations), Molecular Biology (2.4k citations), Cell Biology (331 citations), Genetics (515 citations) and Biochemistry (66 citations). Ding Tang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhukuan Cheng, Kejian Wang, Yi Shen, Minghong Gu, Yafei Li, Hengxiu Yu, Mo Wang, Baoxiang Qin, Lilan Hong and Guijie Du. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Cell, The Plant Journal, New Phytologist and PLoS Genetics.

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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