Meiling Jin
Impact in
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Renal and related cancers 5
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 3
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Diangeng Li (10 shared papers)Pengtao Bao (2 shared papers)Weiguo Zhao (1 shared paper)Shixi Zhang (1 shared paper)Dabing Zhang (5 shared papers)Xiangmei Chen (7 shared papers)Xiaoyan Wang (2 shared papers)Yuansheng Xie (6 shared papers)
- Journals
- Nephrology (3 papers)Archives of Virology (2 papers)PeerJ (2 papers)Clinical Kidney Journal (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaPhilippinesUnited States
In The Last Decade
Meiling Jin
25 papers receiving 759 citations
Meiling Jin's Hit Papers
Peers
Comparison fields: 5 of 85
- Obstetrics and Gynecology 328
- Infectious Diseases 246
- Reproductive Medicine 90
- Oncology 189
- Modeling and Simulation 31
Countries citing papers authored by Meiling Jin
This map shows the geographic impact of Meiling Jin'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 Meiling Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Jin more than expected).
Fields of papers citing papers by Meiling Jin
This network shows the impact of papers produced by Meiling Jin. 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 Meiling Jin. The network helps show where Meiling Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Jin, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Characteristics and Results of Semen Tests Among Men With Coronavirus Disease 2019 Hit paper breakdown → | 2020 | 513 |
| 2 | 2018 | 34 | |
| 3 | 2014 | 26 | |
| 4 | 2016 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2020 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2022 | 6 | |
| 19 | A Novel Ferroptosis-Related lncRNA Signature for Prognosis Prediction in Patients with Papillary Renal Cell Carcinoma | 2022 | 4 |
| 20 | 2014 | 4 |
About Meiling Jin
Meiling Jin is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Infectious Diseases and Nephrology, having authored 26 papers that have together received 772 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (3 papers), Renal cell carcinoma treatment (3 papers), Viral Infections and Immunology Research (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Animal Virus Infections Studies (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Obstetrics and Gynecology (328 citations), Infectious Diseases (246 citations), Reproductive Medicine (90 citations), Oncology (189 citations) and Modeling and Simulation (31 citations). Meiling Jin has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Diangeng Li, Pengtao Bao, Weiguo Zhao, Shixi Zhang, Dabing Zhang, Xiangmei Chen, Xiaoyan Wang, Yuansheng Xie, Qinggang Li and Kang Ning. Their work appears in journals such as Nephrology, Archives of Virology, PeerJ, Clinical Kidney Journal and Scientific 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.