Dan Gu

1.3k citations
21 papers · 1.0k · h-index 16

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant-Microbe Interactions and Immunity
    • Plant nutrient uptake and metabolism

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Genomics, phytochemicals, and oxidative stress 2
    • Plant Stress Responses and Tolerance 5
    • Plant Molecular Biology Research 3

Dan Gu

21 papers receiving 1.0k citations

Peers

Dan Gu
Comparison fields: 5 of 79
  • Plant Science 579
  • Biochemistry 79
  • Cancer Research 147
  • Molecular Biology 474
  • Health, Toxicology and Mutagenesis 72
Replace H. P. Rusch with:
H. P. Rusch United States
Richard Machanoff United States
Peter Lümmen Germany
David Kopečný Czechia
Karel J. Angelis Czechia
Lingling Yin China
Yukimasa Hayashi Japan
Fernando Lledı́as Mexico
Wayne M. Becker United States
F. K. Zimmermann Germany
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Citations per year

Countries citing papers authored by Dan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Gu, 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 Dan Gu Line = papers co-authored together Dan Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009313
2 200390
3 200778
4 201774
5 201166
6 200861
7 201344
8 200440
9 201137
10 201832
11 201027
12 201625
13 201622
14 201321
15 201017
16 201217
17 200715
18 201314
19 201512
20 20129

About Dan Gu

Dan Gu is a scholar working on Molecular Biology, Plant Science, Cancer Research, Organic Chemistry and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), Plant Stress Responses and Tolerance (5 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant Molecular Biology Research (3 papers), Synthesis and Biological Evaluation (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Lipid metabolism and biosynthesis (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Plant Science (579 citations), Biochemistry (79 citations), Cancer Research (147 citations), Molecular Biology (474 citations) and Health, Toxicology and Mutagenesis (72 citations). Dan Gu has collaborated with scholars based in United States, China and France. Frequent co-authors include Robert J. Turesky, John J. Tanner, Donald Becker, Charlotte Song, Roberta Giordo, Kouji Takeda, Brian E. Ellis, June M. Kwak, Sangmee Lee and Shintaro Munemasa. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biological Chemistry, Chemical Research in Toxicology, Carcinogenesis and Journal of Agricultural and Food Chemistry.

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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