Jordan Ye
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Protein Degradation and Inhibitors 3
- Biochemical and Molecular Research 2
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- Cellular transport and secretion 3
- Endoplasmic Reticulum Stress and Disease 2
- Cellular Mechanics and Interactions 2
- Co-authors
- Jayanta Debnath (7 shared papers)Andrew M. Leidal (5 shared papers)Juliet Goldsmith (3 shared papers)Timothy Marsh (2 shared papers)Srirupa Roy (1 shared paper)Sabrina M. Ronen (1 shared paper)Eric J. Huang (1 shared paper)Jennifer Y. Liu (2 shared papers)
- Journals
- Cancer Research (2 papers)The Journal of Cell Biology (1 paper)The EMBO Journal (1 paper)Nature Cell Biology (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jordan Ye
10 papers receiving 692 citations
Jordan Ye's Hit Papers
Peers
Comparison fields: 5 of 74
- Physiology 74
- Cancer Research 176
- Epidemiology 336
- Cell Biology 148
- Molecular Biology 443
Countries citing papers authored by Jordan Ye
This map shows the geographic impact of Jordan Ye'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 Jordan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Ye more than expected).
Fields of papers citing papers by Jordan Ye
This network shows the impact of papers produced by Jordan Ye. 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 Jordan Ye. The network helps show where Jordan Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jordan Ye, 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 | The LC3-conjugation machinery specifies the loading of RNA-binding proteins into extracellular vesicles Hit paper breakdown → | 2020 | 349 |
| 2 | 2016 | 130 | |
| 3 | 2017 | 117 | |
| 4 | 2016 | 62 | |
| 5 | 2016 | 16 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2018 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 0 |
About Jordan Ye
Jordan Ye is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Genetics and Immunology, having authored 11 papers that have together received 700 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Protein Degradation and Inhibitors (3 papers), Cellular transport and secretion (3 papers), Biochemical and Molecular Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cellular Mechanics and Interactions (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Physiology (74 citations), Cancer Research (176 citations), Epidemiology (336 citations), Cell Biology (148 citations) and Molecular Biology (443 citations). Jordan Ye has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jayanta Debnath, Andrew M. Leidal, Juliet Goldsmith, Timothy Marsh, Srirupa Roy, Sabrina M. Ronen, Eric J. Huang, Jennifer Y. Liu, Hector H. Huang and Dachuan Zhang. Their work appears in journals such as Cancer Research, The Journal of Cell Biology, The EMBO Journal, Nature Cell Biology and Molecular Cell.
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.