Caixia Lü
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Reproductive System and Pregnancy
Papers in
-
- Circular RNAs in diseases 4
- Epidemiology 14
- Hepatitis B Virus Studies 3
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Jiejie Dai (21 shared papers)Yuanyuan Han (16 shared papers)Shuanggui Tie (2 shared papers)Jianshuang Qi (2 shared papers)Runqing Yue (2 shared papers)Shufeng Yan (2 shared papers)Xiaohua Han (2 shared papers)Xiaomei Sun (18 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Frontiers in Plant Science (2 papers)Annals of Translational Medicine (2 papers)BMC Microbiology (2 papers)Molecular Biology Reports (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Caixia Lü
43 papers receiving 635 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 81
- Immunology 95
- Molecular Biology 287
- Infectious Diseases 74
- Obstetrics and Gynecology 31
Countries citing papers authored by Caixia Lü
This map shows the geographic impact of Caixia Lü'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 Caixia Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixia Lü more than expected).
Fields of papers citing papers by Caixia Lü
This network shows the impact of papers produced by Caixia Lü. 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 Caixia Lü. The network helps show where Caixia Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Caixia Lü, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2016 | 63 | |
| 3 | 2021 | 56 | |
| 4 | 2015 | 44 | |
| 5 | Association between PD-1/PD-L1 and T regulate cells in early recurrent miscarriage. | 2015 | 32 |
| 6 | 2018 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2008 | 27 | |
| 9 | 2020 | 25 | |
| 10 | 2018 | 23 | |
| 11 | 2018 | 17 | |
| 12 | 2011 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2003 | 13 | |
| 16 | 2017 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 10 |
About Caixia Lü
Caixia Lü is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Surgery and Immunology, having authored 48 papers that have together received 637 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Plant Molecular Biology Research (3 papers), Hepatitis B Virus Studies (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Hepatitis C virus research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (81 citations), Immunology (95 citations), Molecular Biology (287 citations), Infectious Diseases (74 citations) and Obstetrics and Gynecology (31 citations). Caixia Lü has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiejie Dai, Yuanyuan Han, Shuanggui Tie, Jianshuang Qi, Runqing Yue, Shufeng Yan, Xiaohua Han, Xiaomei Sun, Dexuan Kuang and Yi‐Qing Yang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Plant Science, Annals of Translational Medicine, BMC Microbiology and Molecular Biology Reports.
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.