Junli Lu
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Ubiquitin and proteasome pathways 2
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- Maternal and fetal healthcare 8
- Co-authors
- Yoichi Ochiai (2 shared papers)Lizhen Wang (7 shared papers)Dean Rao (8 shared papers)Limin Xia (6 shared papers)Tiantian Wang (2 shared papers)Yiming Luo (3 shared papers)Chai‐Hien Gan (1 shared paper)Bixiang Zhang (1 shared paper)
- Journals
- BMC Pregnancy and Childbirth (2 papers)International Journal of Gynecology & Obstetrics (2 papers)SoftwareX (2 papers)Cell Death and Disease (2 papers)Biomarker Research (1 paper)
- Partner nations
- ChinaJapanSouth Korea
In The Last Decade
Junli Lu
61 papers receiving 675 citations
Junli Lu's Hit Papers
Peers
Comparison fields: 5 of 124
- Obstetrics and Gynecology 102
- Signal Processing 50
- Pediatrics, Perinatology and Child Health 75
- Immunology 78
- Transportation 24
Countries citing papers authored by Junli Lu
This map shows the geographic impact of Junli 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 Junli Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Lu more than expected).
Fields of papers citing papers by Junli Lu
This network shows the impact of papers produced by Junli 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 Junli Lu. The network helps show where Junli Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Myeloid-derived suppressor cells in cancer: therapeutic targets to overcome tumor immune evasion Hit paper breakdown → | 2024 | 90 |
| 2 | 2021 | 52 | |
| 3 | 2009 | 51 | |
| 4 | 2012 | 45 | |
| 5 | 2013 | 39 | |
| 6 | 2018 | 26 | |
| 7 | 2019 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2016 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2016 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2015 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2020 | 11 |
About Junli Lu
Junli Lu is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Information Systems, Artificial Intelligence and Oncology, having authored 66 papers that have together received 694 indexed citations. Recurring topics across this work include Maternal and fetal healthcare (8 papers), Data Mining Algorithms and Applications (7 papers), Data Management and Algorithms (6 papers), Topic Modeling (3 papers), Rough Sets and Fuzzy Logic (3 papers), Natural Language Processing Techniques (3 papers), Ubiquitin and proteasome pathways (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (102 citations), Signal Processing (50 citations), Pediatrics, Perinatology and Child Health (75 citations), Immunology (78 citations) and Transportation (24 citations). Junli Lu has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Yoichi Ochiai, Lizhen Wang, Dean Rao, Limin Xia, Tiantian Wang, Yiming Luo, Chai‐Hien Gan, Bixiang Zhang, Mi-Yen Yeh and Yiwei Li. Their work appears in journals such as BMC Pregnancy and Childbirth, International Journal of Gynecology & Obstetrics, SoftwareX, Cell Death and Disease and Biomarker 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.