Danfeng Tang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
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- Genomics and Phylogenetic Studies 10
- Plant Gene Expression Analysis 8
- Photosynthetic Processes and Mechanisms 6
- RNA and protein synthesis mechanisms 6
- Plant biochemistry and biosynthesis 5
- Plant tissue culture and regeneration 4
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- Plant Stress Responses and Tolerance 7
- Plant Molecular Biology Research 4
- Co-authors
- Muhammad Kashif (9 shared papers)Wei Fan (14 shared papers)Kunhua Wei (9 shared papers)Aziz Khan (6 shared papers)Ruiyang Zhou (8 shared papers)Jianhua Miao (4 shared papers)Zhenling Zeng (1 shared paper)Haozhao Jiang (1 shared paper)
In The Last Decade
Danfeng Tang
40 papers receiving 560 citations
Peers
Comparison fields: 5 of 75
- Molecular Medicine 73
- Endocrinology 40
- Plant Science 246
- Pollution 69
- Pharmacology 49
Countries citing papers authored by Danfeng Tang
This map shows the geographic impact of Danfeng 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 Danfeng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danfeng Tang more than expected).
Fields of papers citing papers by Danfeng Tang
This network shows the impact of papers produced by Danfeng 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 Danfeng Tang. The network helps show where Danfeng Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danfeng Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 100 | |
| 2 | 2020 | 52 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 41 | |
| 5 | 2020 | 37 | |
| 6 | 2022 | 28 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 23 | |
| 9 | 2023 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 1974 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 7 |
About Danfeng Tang
Danfeng Tang is a scholar working on Molecular Biology, Plant Science, Pharmacology, Food Science and Pharmacology, having authored 45 papers that have together received 570 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Plant Gene Expression Analysis (8 papers), Plant Stress Responses and Tolerance (7 papers), Photosynthetic Processes and Mechanisms (6 papers), RNA and protein synthesis mechanisms (6 papers), Plant biochemistry and biosynthesis (5 papers), Plant Molecular Biology Research (4 papers) and Plant tissue culture and regeneration (4 papers). The work is most often cited by research in Molecular Medicine (73 citations), Endocrinology (40 citations), Plant Science (246 citations), Pollution (69 citations) and Pharmacology (49 citations). Danfeng Tang has collaborated with scholars based in China, Pakistan and Nepal. Frequent co-authors include Muhammad Kashif, Wei Fan, Kunhua Wei, Aziz Khan, Ruiyang Zhou, Jianhua Miao, Zhenling Zeng, Haozhao Jiang, Peter M. Hawkey and Yahui Liu. Their work appears in journals such as Frontiers in Plant Science, BMC Plant Biology, Scientific Reports, Industrial Crops and Products and Biological Research.
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.