Kejing Song

1.2k total citations
47 papers, 869 citations indexed

About

Kejing Song is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kejing Song has authored 47 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 14 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Kejing Song's work include Toxin Mechanisms and Immunotoxins (7 papers), HIV Research and Treatment (6 papers) and Cystic Fibrosis Research Advances (5 papers). Kejing Song is often cited by papers focused on Toxin Mechanisms and Immunotoxins (7 papers), HIV Research and Treatment (6 papers) and Cystic Fibrosis Research Advances (5 papers). Kejing Song collaborates with scholars based in United States, China and Canada. Kejing Song's co-authors include Seth H. Pincus, Robert T. Cook, Zuhair K. Ballas, Ruth A. Coleman, Thomas J. Waldschmidt, Jay K. Kolls, Xiaoyan Zhu, Yun Zhou, Guoshun Wang and Jianping Wen and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kejing Song

44 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kejing Song United States 18 326 266 155 135 102 47 869
Gernot Kriegshäuser Austria 17 316 1.0× 358 1.3× 62 0.4× 122 0.9× 52 0.5× 53 1.1k
Xin Hu China 20 122 0.4× 551 2.1× 174 1.1× 88 0.7× 51 0.5× 67 1.2k
Qian-Jin Zhang China 19 338 1.0× 499 1.9× 170 1.1× 84 0.6× 111 1.1× 47 1.2k
Afshin Namdar Canada 23 586 1.8× 665 2.5× 73 0.5× 66 0.5× 120 1.2× 31 1.5k
Yonghong Yang China 18 198 0.6× 557 2.1× 79 0.5× 44 0.3× 65 0.6× 54 935
Chih‐Yeu Fang Taiwan 20 178 0.5× 374 1.4× 184 1.2× 155 1.1× 56 0.5× 41 1.1k
Masatoshi Fujiwara Japan 21 170 0.5× 461 1.7× 119 0.8× 70 0.5× 73 0.7× 48 1.2k
Seth Chitayat Canada 14 200 0.6× 582 2.2× 67 0.4× 41 0.3× 54 0.5× 29 1.0k
Jiao Wu China 21 183 0.6× 908 3.4× 90 0.6× 42 0.3× 176 1.7× 72 1.4k

Countries citing papers authored by Kejing Song

Since Specialization
Citations

This map shows the geographic impact of Kejing Song'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 Kejing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejing Song more than expected).

Fields of papers citing papers by Kejing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kejing Song. 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 Kejing Song. The network helps show where Kejing Song may publish in the future.

Co-authorship network of co-authors of Kejing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kejing Song. A scholar is included among the top collaborators of Kejing Song 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 Kejing Song. Kejing Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Akerstrom, Victoria, Kejing Song, Raghu P. Kataru, et al.. (2025). Regulation of Collecting Lymphatic Vessel Contractile Function by TRPV4 Channels. Arteriosclerosis Thrombosis and Vascular Biology. 45(9). e412–e436. 2 indexed citations
2.
Liu, Yang, et al.. (2025). A Machine Learning-Based Production Prediction Method for Multi-Type Fracturing in Waterflood Reservoirs. SPE Annual Technical Conference and Exhibition.
3.
Wu, Chen, et al.. (2025). Enhancing the electrochemical performance of germanium-modified Li-rich Li1.2Ni0.2Mn0.6O2 through simultaneous surface and bulk phase modifications. Materials Research Bulletin. 188. 113408–113408. 1 indexed citations
4.
Hoffmann, Joseph P., Haoran Yang, Naoki Iwanaga, et al.. (2024). Vaccine-elicited IL-1R signaling results in Th17 TRM-mediated immunity. Communications Biology. 7(1). 433–433. 5 indexed citations
5.
Zhang, Jinqiang, et al.. (2024). YAP activation in liver macrophages via depletion of MST1/MST2 enhances liver inflammation and fibrosis in MASLD. The FASEB Journal. 38(17). e70026–e70026. 4 indexed citations
6.
Zhou, Zhenzhen, et al.. (2024). Acyl-homoserine lactones regulate the photosynthesis of Chlorella sorokiniana to promote biomass and lipid. Biomass and Bioenergy. 183. 107140–107140. 6 indexed citations
7.
Song, Kejing, et al.. (2023). Multi-omics insights into the mechanism of the high-temperature tolerance in a thermotolerant Chlorella sorokiniana. Bioresource Technology. 390. 129859–129859. 11 indexed citations
8.
Pincus, Seth H., Grace A. Maresh, Zhan‐Guo Gao, et al.. (2022). Parenteral Exposure of Mice to Ricin Toxin Induces Fatal Hypoglycemia by Cytokine-Mediated Suppression of Hepatic Glucose-6-Phosphatase Expression. Toxins. 14(12). 820–820. 1 indexed citations
9.
Liu, Simin, et al.. (2022). Engineering synthetic microbial consortium for cadaverine biosynthesis from glycerol. Biotechnology Letters. 44(12). 1389–1400. 6 indexed citations
10.
Iwanaga, Naoki, Kong Chen, Haoran Yang, et al.. (2021). Vaccine-driven lung TRM cells provide immunity against Klebsiella via fibroblast IL-17R signaling. Science Immunology. 6(63). eabf1198–eabf1198. 42 indexed citations
11.
Iwanaga, Naoki, et al.. (2020). Host immunology and rational immunotherapy for carbapenem-resistant Klebsiella pneumoniae infection. JCI Insight. 5(8). 17 indexed citations
12.
Song, Kejing, et al.. (2019). Functional studies to understand immune modifiers in cystic fibrosis. The Journal of Immunology. 202(1_Supplement). 182.81–182.81. 1 indexed citations
13.
Simon, Liz, Robert W. Siggins, Peter J. Winsauer, et al.. (2017). Simian Immunodeficiency Virus Infection Increases Blood Ethanol Concentration Duration After Both Acute and Chronic Administration. AIDS Research and Human Retroviruses. 34(2). 178–184. 8 indexed citations
14.
Wang, Junhua, Cheng Wang, Kejing Song, & Jianping Wen. (2017). Metabolic network model guided engineering ethylmalonyl-CoA pathway to improve ascomycin production in Streptomyces hygroscopicus var. ascomyceticus. Microbial Cell Factories. 16(1). 169–169. 23 indexed citations
15.
16.
Ng, Hang Pong, Yun Zhou, Kejing Song, et al.. (2014). Neutrophil-Mediated Phagocytic Host Defense Defect in Myeloid Cftr-Inactivated Mice. PLoS ONE. 9(9). e106813–e106813. 47 indexed citations
17.
Breslin, Mary B., et al.. (2011). Functional role of an islet transcription factor, INSM1/IA‐1, on pancreatic acinar cell trans‐differentiation. Journal of Cellular Physiology. 227(6). 2470–2479. 19 indexed citations
18.
Zhao, Xuejun, Peter Oliver, Kejing Song, et al.. (2004). Chronic Ethanol Enhances Ectodomain Shedding in T Cells and Monocytes. Alcoholism Clinical and Experimental Research. 28(9). 1399–1407. 15 indexed citations
19.
Zhao, Xuejun, Luis Marrero, Kejing Song, et al.. (2003). Acute Alcohol Inhibits TNF-α Processing in Human Monocytes by Inhibiting TNF/TNF-α-Converting Enzyme Interactions in the Cell Membrane. The Journal of Immunology. 170(6). 2923–2931. 51 indexed citations
20.
Song, Kejing, Ruth A. Coleman, Zuhair K. Ballas, et al.. (2001). TH1 cytokine response of CD57+ T-cell subsets in healthy controls and patients with alcoholic liver disease. Alcohol. 24(3). 155–167. 38 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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