Kai Long
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- RNA regulation and disease 2
- DNA Repair Mechanisms 1
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Junying Yuan (7 shared papers)Dawei Ma (5 shared papers)Michael Boyce (4 shared papers)Donalyn Scheuner (1 shared paper)David Ron (1 shared paper)Kevin F. Bryant (1 shared paper)Randal J. Kaufman (1 shared paper)Céline Jousse (1 shared paper)
- Journals
- Scientific Reports (2 papers)Plant Biology (1 paper)Journal of Medicinal Chemistry (1 paper)Clinical and Vaccine Immunology (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Kai Long
18 papers receiving 1.7k citations
Kai Long's Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 822
- Epidemiology 427
- Molecular Biology 823
- Geriatrics and Gerontology 38
- Aging 16
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 | 1226 |
| 2 | 2010 | 107 | |
| 3 | 2011 | 74 | |
| 4 | 2013 | 59 | |
| 5 | 2008 | 46 | |
| 6 | 2005 | 44 | |
| 7 | 2005 | 38 | |
| 8 | 2017 | 30 | |
| 9 | 2014 | 20 | |
| 10 | 2020 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2005 | 1 | |
| 18 | 2024 | 1 |
About Kai Long
Kai Long is a scholar working on Molecular Biology, Cell Biology, Immunology, Epidemiology and Oncology, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA regulation and disease (2 papers), Cancer-related molecular mechanisms research (2 papers), Vitamin C and Antioxidants Research (1 paper), Immune Response and Inflammation (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cell Biology (822 citations), Epidemiology (427 citations), Molecular Biology (823 citations), Geriatrics and Gerontology (38 citations) and Aging (16 citations). Kai Long has collaborated with scholars based in China, United States and India. Frequent co-authors include Junying Yuan, Dawei Ma, Michael Boyce, Donalyn Scheuner, David Ron, Kevin F. Bryant, Randal J. Kaufman, Céline Jousse, Donald M. Coen and Heather P. Harding. Their work appears in journals such as Scientific Reports, Plant Biology, Journal of Medicinal Chemistry, Clinical and Vaccine Immunology and Cancer Biology & Therapy.
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.