Kai Long
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Epidemiology top 10%
- Autophagy in Disease and Therapy
Papers in
-
- RNA regulation and disease 2
- PI3K/AKT/mTOR signaling in cancer 2
- Signaling Pathways in Disease 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)Céline Jousse (1 shared paper)Donalyn Scheuner (1 shared paper)Kevin F. Bryant (1 shared paper)Donald M. Coen (1 shared paper)Heather P. Harding (1 shared paper)
- Journals
- Scientific Reports (2 papers)Organic Letters (1 paper)International Journal of Biological Macromolecules (1 paper)Immunity (1 paper)Bioorganic & Medicinal Chemistry Letters (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 99
- Cell Biology 861
- Epidemiology 469
- Molecular Biology 880
- Geriatrics and Gerontology 42
- Physiology 43
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 | 1222 |
| 2 | 2010 | 104 | |
| 3 | 2011 | 70 | |
| 4 | 2013 | 56 | |
| 5 | 2008 | 47 | |
| 6 | 2005 | 44 | |
| 7 | 2005 | 38 | |
| 8 | 2017 | 29 | |
| 9 | 2014 | 22 | |
| 10 | 2020 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2005 | 1 |
About Kai Long
Kai Long is a scholar working on Molecular Biology, Cell Biology, Immunology, Epidemiology and Cancer Research, 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), Cancer-related molecular mechanisms research (3 papers), RNA regulation and disease (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Autophagy in Disease and Therapy (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Cell Biology (861 citations), Epidemiology (469 citations), Molecular Biology (880 citations), Geriatrics and Gerontology (42 citations) and Physiology (43 citations). Kai Long has collaborated with scholars based in China, United States and India. Frequent co-authors include Junying Yuan, Dawei Ma, Michael Boyce, Céline Jousse, Donalyn Scheuner, Kevin F. Bryant, Donald M. Coen, Heather P. Harding, Randal J. Kaufman and David Ron. Their work appears in journals such as Scientific Reports, Organic Letters, International Journal of Biological Macromolecules, Immunity and Bioorganic & Medicinal Chemistry Letters.
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.