Litang Lu
Impact in
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- Tea Polyphenols and Effects
Papers in
-
- Plant Molecular Biology Research 5
- Plant Virus Research Studies 4
-
- Plant tissue culture and regeneration 5
- Plant Reproductive Biology 4
- Plant Gene Expression Analysis 2
- Co-authors
- Xinzhuan Yao (24 shared papers)Degang Zhao (6 shared papers)Baohui Zhang (7 shared papers)Yichen Zhao (1 shared paper)Xiaojing Wang (1 shared paper)Yanli Deng (1 shared paper)Hao Zhou (1 shared paper)Huimin Zhao (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Gene (2 papers)Scientia Horticulturae (2 papers)LWT (2 papers)Food Chemistry X (2 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Litang Lu
31 papers receiving 295 citations
Peers
Comparison fields: 5 of 51
- Pathology and Forensic Medicine 91
- Applied Microbiology and Biotechnology 9
- Biochemistry 27
- Plant Science 131
- Endocrinology 16
Countries citing papers authored by Litang Lu
This map shows the geographic impact of Litang Lu'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 Litang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Litang Lu more than expected).
Fields of papers citing papers by Litang Lu
This network shows the impact of papers produced by Litang Lu. 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 Litang Lu. The network helps show where Litang Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Litang Lu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 45 | |
| 2 | 2022 | 36 | |
| 3 | 2024 | 26 | |
| 4 | 2024 | 22 | |
| 5 | 2022 | 16 | |
| 6 | 2024 | 16 | |
| 7 | 2023 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2006 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Litang Lu
Litang Lu is a scholar working on Plant Science, Molecular Biology, Pathology and Forensic Medicine, Biochemistry and Endocrinology, having authored 32 papers that have together received 297 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (11 papers), Phytochemicals and Antioxidant Activities (5 papers), Plant Molecular Biology Research (5 papers), Plant tissue culture and regeneration (5 papers), Plant Reproductive Biology (4 papers), Plant Virus Research Studies (4 papers), Plant and Fungal Interactions Research (3 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (91 citations), Applied Microbiology and Biotechnology (9 citations), Biochemistry (27 citations), Plant Science (131 citations) and Endocrinology (16 citations). Litang Lu has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Xinzhuan Yao, Degang Zhao, Baohui Zhang, Yichen Zhao, Xiaojing Wang, Yanli Deng, Hao Zhou, Huimin Zhao, Fei Liu and Dan Li. Their work appears in journals such as International Journal of Molecular Sciences, Gene, Scientia Horticulturae, LWT and Food Chemistry X.
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.