Kai Long

2.1k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Kai Long is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Kai Long has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Kai Long's work include Endoplasmic Reticulum Stress and Disease (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA regulation and disease (2 papers). Kai Long is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA regulation and disease (2 papers). Kai Long collaborates with scholars based in China, United States and India. Kai Long's co-authors include Junying Yuan, Dawei Ma, Michael Boyce, Heather P. Harding, Donalyn Scheuner, Kevin F. Bryant, David Ron, Randal J. Kaufman, Céline Jousse and Donald M. Coen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Kai Long

18 papers receiving 1.7k citations

Hit Papers

A Selective Inhibitor of eIF2α Dephosphorylation Protects... 2005 2026 2012 2019 2005 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Long China 11 880 861 469 156 156 18 1.7k
Jun Hoseki Japan 17 898 1.0× 736 0.9× 346 0.7× 113 0.7× 152 1.0× 24 1.5k
Ciara M Gallagher United States 9 1.0k 1.2× 1.2k 1.4× 622 1.3× 150 1.0× 145 0.9× 13 1.9k
Diego Rojas‐Rivera Chile 17 1.1k 1.2× 1.1k 1.3× 814 1.7× 220 1.4× 315 2.0× 25 2.0k
Yu-Hsuan Lin United States 13 1.1k 1.3× 907 1.1× 532 1.1× 275 1.8× 183 1.2× 25 1.9k
Karolina Pakos‐Zebrucka Ireland 4 1.2k 1.4× 657 0.8× 300 0.6× 75 0.5× 182 1.2× 4 1.8k
Mila Ljujić Serbia 9 1.3k 1.4× 636 0.7× 289 0.6× 86 0.6× 195 1.3× 29 1.9k
Yoriko Kouroku Japan 15 966 1.1× 966 1.1× 863 1.8× 163 1.0× 148 0.9× 18 1.8k
Claudia Dall’Armi United States 14 808 0.9× 600 0.7× 562 1.2× 113 0.7× 96 0.6× 15 1.6k
Rossella Venditti Italy 14 997 1.1× 671 0.8× 763 1.6× 117 0.8× 158 1.0× 23 2.0k
Tiziana Anelli Italy 19 1.0k 1.2× 1.1k 1.3× 402 0.9× 155 1.0× 313 2.0× 31 1.9k

Countries citing papers authored by Kai Long

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kai Long

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Long. A scholar is included among the top collaborators of Kai Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Long. Kai Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
He, Shan, Tao Wang, Kai Long, et al.. (2024). circNDUFA13 stimulates adipogenesis of bone marrow-derived mesenchymal stem cells via interaction with STAT3. Scientific Reports. 14(1). 19787–19787. 1 indexed citations
2.
Liu, Zhi, Yan Liu, J. Li, et al.. (2024). Discovery of Preclinical Candidate AD1058 as a Highly Potent, Selective, and Brain-Penetrant ATR Inhibitor for the Treatment of Advanced Malignancies. Journal of Medicinal Chemistry. 67(15). 12735–12759. 5 indexed citations
3.
Li, Yanhong, Qinglin Yang, Gang He, et al.. (2024). HcCnAα regulates NF-κB signaling in Hyriopsis cumingii by interacting with HcIKK and facilitating IκB phosphorylation. International Journal of Biological Macromolecules. 289. 138787–138787. 1 indexed citations
4.
Huang, Gui‐Xiang & Kai Long. (2023). Sensitization of colon cancer cells to cisplatin by Fbxw7 via negative regulation of the Nox1-mTOR pathway. Pathology - Research and Practice. 247. 154479–154479. 4 indexed citations
5.
He, Shan, et al.. (2022). MiR-328-5p inhibits the adipogenic differentiation of hMSCs by targeting fatty acid synthase. Folia Histochemica et Cytobiologica. 60(4). 292–300. 1 indexed citations
6.
Wang, Tao, Lingling Cao, Shan He, et al.. (2020). Small RNA sequencing reveals a novel tsRNA‐06018 playing an important role during adipogenic differentiation of hMSCs. Journal of Cellular and Molecular Medicine. 24(21). 12736–12749. 16 indexed citations
7.
Wang, Wan, Yujun Wang, Hui Li, et al.. (2018). Preclinical evaluation of novel PI3K/mTOR dual inhibitor SN202 as potential anti-renal cancer agent. Cancer Biology & Therapy. 19(11). 1015–1022. 6 indexed citations
8.
Hu, Lulu, Xiaomin Hu, Kai Long, et al.. (2017). Extraordinarily potent proinflammatory properties of lactoferrin-containing immunocomplexes against human monocytes and macrophages. Scientific Reports. 7(1). 4230–4230. 29 indexed citations
9.
She, Chao‐Wen, et al.. (2014). Molecular cytogenetic characterisation and phylogenetic analysis of the seven cultivated Vigna species (Fabaceae). Plant Biology. 17(1). 268–280. 22 indexed citations
10.
Py, Bénédicte F., Santiago González, Kai Long, et al.. (2013). Cochlin Produced by Follicular Dendritic Cells Promotes Antibacterial Innate Immunity. Immunity. 38(5). 1063–1072. 56 indexed citations
11.
Wei-ji, LI, Kai Long, Hongliang Dong, & Xiao‐Ming Gao. (2013). Adjuvanticity of a Recombinant Calreticulin Fragment in Assisting Anti-β-Glucan IgG Responses in T Cell-Deficient Mice. Clinical and Vaccine Immunology. 20(4). 582–589. 12 indexed citations
12.
Ma, Xiuquan, Yu Cai, Hongguang Xia, et al.. (2011). Mitochondrial Electron Transport Chain Complex III Is Required for Antimycin A to Inhibit Autophagy. Chemistry & Biology. 18(11). 1474–1481. 70 indexed citations
13.
Miao, Benchun, Igor Skidan, Jinsheng Yang, et al.. (2010). Small molecule inhibition of phosphatidylinositol-3,4,5-triphosphate (PIP3) binding to pleckstrin homology domains. Proceedings of the National Academy of Sciences. 107(46). 20126–20131. 104 indexed citations
14.
Boyce, Michael, Bénédicte F. Py, Alexey G. Ryazanov, et al.. (2008). A pharmacoproteomic approach implicates eukaryotic elongation factor 2 kinase in ER stress-induced cell death. Cell Death and Differentiation. 15(3). 589–599. 47 indexed citations
15.
Long, Kai, et al.. (2005). Structure–activity relationship studies of salubrinal lead to its active biotinylated derivative. Bioorganic & Medicinal Chemistry Letters. 15(17). 3849–3852. 38 indexed citations
16.
Long, Kai, et al.. (2005). Structure—Activity Relationship Studies of Salubrinal Lead to Its Active Biotinylated Derivative.. ChemInform. 36(51). 1 indexed citations
17.
Boyce, Michael, Kevin F. Bryant, Céline Jousse, et al.. (2005). A Selective Inhibitor of eIF2α Dephosphorylation Protects Cells from ER Stress. Science. 307(5711). 935–939. 1222 indexed citations breakdown →
18.
Zou, Bin, Kai Long, & Dawei Ma. (2005). Total Synthesis and Cytotoxicity Studies of a Cyclic Depsipeptide with Proposed Structure of Palau'amide. Organic Letters. 7(19). 4237–4240. 44 indexed citations

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.

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