Zengkui Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
Papers in
- Genetics 36
- Genetic and phenotypic traits in livestock 19
- Genetic Mapping and Diversity in Plants and Animals 8
- High Altitude and Hypoxia 5
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- RNA modifications and cancer 8
- Co-authors
- Jianbin Liu (42 shared papers)Bohui Yang (26 shared papers)Meilin Jin (14 shared papers)Yaojing Yue (19 shared papers)Caihong Wei (12 shared papers)Mingxing Chu (8 shared papers)Tingting Guo (15 shared papers)Huihua Wang (10 shared papers)
In The Last Decade
Zengkui Lu
64 papers receiving 778 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 228
- Genetics 422
- Animal Science and Zoology 133
- Agronomy and Crop Science 95
- Urology 40
Countries citing papers authored by Zengkui Lu
This map shows the geographic impact of Zengkui 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 Zengkui Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zengkui Lu more than expected).
Fields of papers citing papers by Zengkui Lu
This network shows the impact of papers produced by Zengkui 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 Zengkui Lu. The network helps show where Zengkui Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zengkui 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 47 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 33 | |
| 5 | 2019 | 33 | |
| 6 | 2022 | 32 | |
| 7 | 2023 | 32 | |
| 8 | 2021 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2022 | 28 | |
| 11 | 2021 | 25 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2021 | 18 | |
| 19 | 2023 | 17 | |
| 20 | 2021 | 17 |
About Zengkui Lu
Zengkui Lu is a scholar working on Genetics, Molecular Biology, Cancer Research, Animal Science and Zoology and Cell Biology, having authored 65 papers that have together received 791 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (19 papers), Cancer-related molecular mechanisms research (17 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), RNA modifications and cancer (8 papers), Hair Growth and Disorders (7 papers), Adipose Tissue and Metabolism (6 papers), Meat and Animal Product Quality (6 papers) and High Altitude and Hypoxia (5 papers). The work is most often cited by research in Cancer Research (228 citations), Genetics (422 citations), Animal Science and Zoology (133 citations), Agronomy and Crop Science (95 citations) and Urology (40 citations). Zengkui Lu has collaborated with scholars based in China and Kenya. Frequent co-authors include Jianbin Liu, Bohui Yang, Meilin Jin, Yaojing Yue, Caihong Wei, Mingxing Chu, Tingting Guo, Huihua Wang, Jianye Li and Ran Di. Their work appears in journals such as Animals, Genomics, BMC Genomics, International Journal of Molecular Sciences and Frontiers in 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.