Kai Long
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Epidemiology top 10%
- Autophagy in Disease and Therapy
Papers in
-
- Plant biochemistry and biosynthesis 2
- Plant Gene Expression Analysis 2
- PI3K/AKT/mTOR signaling in cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Junying Yuan (6 shared papers)Dawei Ma (4 shared papers)Michael Boyce (3 shared papers)David Ron (1 shared paper)Céline Jousse (1 shared paper)Donald M. Coen (1 shared paper)Randal J. Kaufman (1 shared paper)Donalyn Scheuner (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Scientific Reports (2 papers)Plant Biology (1 paper)International Journal of Biological Macromolecules (1 paper)Clinical and Vaccine Immunology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kai Long
20 papers receiving 1.8k citations
Kai Long's Hit Papers
Peers
Comparison fields: 5 of 100
- Cell Biology 841
- Epidemiology 440
- Molecular Biology 874
- Geriatrics and Gerontology 40
- Aging 18
Countries citing papers authored by Kai Long
This map shows the geographic impact of Kai Long'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 Kai Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Long more than expected).
Fields of papers citing papers by Kai Long
This network shows the impact of papers produced by Kai Long. 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 Kai Long. The network helps show where Kai Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Long, 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 | A Selective Inhibitor of eIF2α Dephosphorylation Protects Cells from ER Stress Hit paper breakdown → | 2005 | 1260 |
| 2 | 2010 | 111 | |
| 3 | 2011 | 78 | |
| 4 | 2013 | 66 | |
| 5 | 2005 | 46 | |
| 6 | 2008 | 46 | |
| 7 | 2005 | 35 | |
| 8 | 2017 | 30 | |
| 9 | 2014 | 24 | |
| 10 | 2017 | 19 | |
| 11 | 2018 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2013 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2018 | 7 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Kai Long
Kai Long is a scholar working on Molecular Biology, Immunology, Cell Biology, Neurology and Biotechnology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Plant biochemistry and biosynthesis (2 papers), Plant Gene Expression Analysis (2 papers), Cancer-related molecular mechanisms research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cell Biology (841 citations), Epidemiology (440 citations), Molecular Biology (874 citations), Geriatrics and Gerontology (40 citations) and Aging (18 citations). Kai Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junying Yuan, Dawei Ma, Michael Boyce, David Ron, Céline Jousse, Donald M. Coen, Randal J. Kaufman, Donalyn Scheuner, Kevin F. Bryant and Heather P. Harding. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Scientific Reports, Plant Biology, International Journal of Biological Macromolecules and Clinical and Vaccine Immunology.
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.