Wei-Ke Ji
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Mitochondrial Function and Pathology 9
- Connexins and lens biology 7
- ATP Synthase and ATPases Research 5
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- Cellular transport and secretion 5
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Henry N. Higgs (5 shared papers)Stefan Strack (3 shared papers)Anna L. Hatch (2 shared papers)Rajarshi Chakrabarti (3 shared papers)Ronald A. Merrill (2 shared papers)Timothy A. Ryan (1 shared paper)Jaime de Juan‐Sanz (1 shared paper)Radu V. Stan (1 shared paper)
- Journals
- Current Molecular Medicine (8 papers)The Journal of Cell Biology (4 papers)Nature Communications (3 papers)Journal of Cell Science (2 papers)Investigative Ophthalmology & Visual Science (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Wei-Ke Ji
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 81
- Clinical Biochemistry 198
- Cell Biology 244
- Molecular Biology 822
- Biochemistry 70
- Aging 14
Countries citing papers authored by Wei-Ke Ji
This map shows the geographic impact of Wei-Ke 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 Wei-Ke Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Ke Ji more than expected).
Fields of papers citing papers by Wei-Ke Ji
This network shows the impact of papers produced by Wei-Ke 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 Wei-Ke Ji. The network helps show where Wei-Ke Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Ke 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 248 | |
| 2 | 2017 | 242 | |
| 3 | 2017 | 112 | |
| 4 | 2021 | 95 | |
| 5 | 2016 | 89 | |
| 6 | 2012 | 50 | |
| 7 | 2021 | 40 | |
| 8 | 2019 | 31 | |
| 9 | 2012 | 17 | |
| 10 | 2012 | 16 | |
| 11 | 2013 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2012 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2011 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 3 |
About Wei-Ke Ji
Wei-Ke Ji is a scholar working on Molecular Biology, Cell Biology, Clinical Biochemistry, Physiology and Biochemistry, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Connexins and lens biology (7 papers), ATP Synthase and ATPases Research (5 papers), Cellular transport and secretion (5 papers), Metabolism and Genetic Disorders (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Lipid metabolism and biosynthesis (3 papers) and Proteins in Food Systems (3 papers). The work is most often cited by research in Clinical Biochemistry (198 citations), Cell Biology (244 citations), Molecular Biology (822 citations), Biochemistry (70 citations) and Aging (14 citations). Wei-Ke Ji has collaborated with scholars based in China and United States. Frequent co-authors include Henry N. Higgs, Stefan Strack, Anna L. Hatch, Rajarshi Chakrabarti, Ronald A. Merrill, Timothy A. Ryan, Jaime de Juan‐Sanz, Radu V. Stan, Lori W. Schoenfeld and Na Fang. Their work appears in journals such as Current Molecular Medicine, The Journal of Cell Biology, Nature Communications, Journal of Cell Science and Investigative Ophthalmology & Visual Science.
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.