Hongfei Ji
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 8
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 5
- Biophysics top 10%
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- Photoreceptor and optogenetics research 4
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- Spaceflight effects on biology 3
- Dietary Effects on Health 1
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- Cell death mechanisms and regulation 1
- CRISPR and Genetic Engineering 1
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- Bone Tissue Engineering Materials 1
- Co-authors
- Christopher Fang‐YenJagan SrinivasanAravinthan D. T. SamuelChristopher M. ClarkMark J. AlkemaVivek VenkatachalamJames K. MitchellChristopher J. Tabone
- Journals
- eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hongfei Ji
12 papers receiving 266 citations
Peers
Comparison fields: 5 of 67
- Aging 154
- Endocrine and Autonomic Systems 91
- Biophysics 29
- Cellular and Molecular Neuroscience 79
- Cognitive Neuroscience 42
Countries citing papers authored by Hongfei Ji
This map shows the geographic impact of Hongfei 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 Hongfei Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongfei Ji more than expected).
Fields of papers citing papers by Hongfei Ji
This network shows the impact of papers produced by Hongfei 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 Hongfei Ji. The network helps show where Hongfei Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongfei 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2018 | 49 | |
| 10 | 2015 | 1 | |
| 11 | 2015 | 141 | |
| 12 | 2014 | 13 | |
| 13 | Over-expression of the overexpressed in lung cancer-1 is associated with poor prognosis in colorectal cancer. | 2014 | 7 |
| 14 | Inhibition of survivin expression and mechanisms of reversing drug-resistance of human lung adenocarcinoma cells by siRNA. | 2010 | 22 |
About Hongfei Ji
Hongfei Ji is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology and Rehabilitation, having authored 14 papers that have together received 269 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (5 papers), Photoreceptor and optogenetics research (4 papers), Spaceflight effects on biology (3 papers), Cell death mechanisms and regulation (1 paper), Bone Tissue Engineering Materials (1 paper), CRISPR and Genetic Engineering (1 paper) and Dietary Effects on Health (1 paper). The work is most often cited by research in Aging (154 citations), Endocrine and Autonomic Systems (91 citations), Biophysics (29 citations), Cellular and Molecular Neuroscience (79 citations) and Cognitive Neuroscience (42 citations). Hongfei Ji has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Christopher Fang‐Yen, Jagan Srinivasan, Aravinthan D. T. Samuel, Christopher M. Clark, Mark J. Alkema, Vivek Venkatachalam, James K. Mitchell, Christopher J. Tabone, Mason Klein and Ni Ji. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Scientific Reports, PLoS Biology and Genetics.
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.