Fei Ji
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
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- Endometriosis Research and Treatment 2
-
- Retinal Diseases and Treatments 3
- Co-authors
- Margaret M. DeAngelis (3 shared papers)Ruslan I. Sadreyev (5 shared papers)Barbara Porton (2 shared papers)Derek Gordon (2 shared papers)L. E. DeLisi (2 shared papers)Hilary C. Bertisch (2 shared papers)William M. Greenberg (2 shared papers)Jürg Ott (3 shared papers)
- Journals
- Vaccine (1 paper)Oncogene (1 paper)Life Science Alliance (1 paper)Animal Bioscience (1 paper)Ophthalmology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fei Ji
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Aging 63
- Ophthalmology 135
- Biological Psychiatry 37
- Cancer Research 137
- Oncology 187
Countries citing papers authored by Fei Ji
This map shows the geographic impact of Fei 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 Fei Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ji more than expected).
Fields of papers citing papers by Fei Ji
This network shows the impact of papers produced by Fei 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 Fei Ji. The network helps show where Fei Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 175 | |
| 2 | 2018 | 160 | |
| 3 | 2016 | 128 | |
| 4 | 2008 | 114 | |
| 5 | 2008 | 89 | |
| 6 | 2020 | 60 | |
| 7 | 2016 | 54 | |
| 8 | 2009 | 52 | |
| 9 | 2008 | 49 | |
| 10 | Comprehensive analysis of CRP, CFH Y402H and environmental risk factors on risk of neovascular age-related macular degeneration. | 2008 | 39 |
| 11 | 2007 | 35 | |
| 12 | 2019 | 27 | |
| 13 | 2017 | 17 | |
| 14 | 2008 | 14 | |
| 15 | 2010 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2010 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2022 | 7 |
About Fei Ji
Fei Ji is a scholar working on Reproductive Medicine, Ophthalmology, Aging, Oncology and Immunology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (3 papers), Endometriosis Research and Treatment (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Fungal Infections and Studies (1 paper), Cancer Genomics and Diagnostics (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Aging (63 citations), Ophthalmology (135 citations), Biological Psychiatry (37 citations), Cancer Research (137 citations) and Oncology (187 citations). Fei Ji has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Margaret M. DeAngelis, Ruslan I. Sadreyev, Barbara Porton, Derek Gordon, L. E. DeLisi, Hilary C. Bertisch, William M. Greenberg, Jürg Ott, Thaddeus P. Dryja and Ivana K. Kim. Their work appears in journals such as Vaccine, Oncogene, Life Science Alliance, Animal Bioscience and Ophthalmology.
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.