Jinlu Ji
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- COVID-19 Impact on Reproduction
- Immunology top 10%
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
Papers in
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- Extracellular vesicles in disease 1
-
- Pregnancy and preeclampsia studies 3
- Co-authors
- Aihua Liao (4 shared papers)Yonghong Zhang (2 shared papers)Gil Mor (2 shared papers)Xiaohui Hu (1 shared paper)Lina Ma (1 shared paper)Mei Tian (1 shared paper)Liling Wang (1 shared paper)Zhaozhao Liu (1 shared paper)
- Journals
- American Journal of Reproductive Immunology (3 papers)Frontiers in Immunology (2 papers)Journal of Inflammation Research (1 paper)Advanced Science (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jinlu Ji
11 papers receiving 391 citations
Peers
Comparison fields: 5 of 52
- Obstetrics and Gynecology 135
- Immunology 223
- Reproductive Medicine 41
- Pathology and Forensic Medicine 48
- Public Health, Environmental and Occupational Health 68
Countries citing papers authored by Jinlu Ji
This map shows the geographic impact of Jinlu Ji'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 Jinlu Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlu Ji more than expected).
Fields of papers citing papers by Jinlu Ji
This network shows the impact of papers produced by Jinlu Ji. 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 Jinlu Ji. The network helps show where Jinlu Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlu Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 125 | |
| 2 | 2018 | 121 | |
| 3 | 2019 | 53 | |
| 4 | 2017 | 40 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 6 | |
| 8 | 2020 | 6 | |
| 9 | 2025 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 1 |
About Jinlu Ji
Jinlu Ji is a scholar working on Molecular Biology, Obstetrics and Gynecology, Immunology, Pathology and Forensic Medicine and Pharmacology, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (3 papers), Pregnancy and preeclampsia studies (3 papers), Vitamin D Research Studies (2 papers), Extracellular vesicles in disease (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), MicroRNA in disease regulation (1 paper), Berberine and alkaloids research (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Obstetrics and Gynecology (135 citations), Immunology (223 citations), Reproductive Medicine (41 citations), Pathology and Forensic Medicine (48 citations) and Public Health, Environmental and Occupational Health (68 citations). Jinlu Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Aihua Liao, Yonghong Zhang, Gil Mor, Xiaohui Hu, Lina Ma, Mei Tian, Xiaohui Hu, Liling Wang, Zhaozhao Liu and Hui Zhou. Their work appears in journals such as American Journal of Reproductive Immunology, Frontiers in Immunology, Journal of Inflammation Research, Advanced Science and International Immunopharmacology.
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.