Kai Qin

718 total citations
20 papers, 469 citations indexed

About

Kai Qin is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Kai Qin has authored 20 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Virology. Recurrent topics in Kai Qin's work include HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Kai Qin is often cited by papers focused on HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Kai Qin collaborates with scholars based in China, United States and Canada. Kai Qin's co-authors include Paul A. Goepfert, Anju Bansal, Sushma Boppana, Jacob K. Files, Nathan Erdmann, Wen Zhou, Jianguo Wu, Yingle Liu, Weiyong Liu and Sarah Sterrett and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Kai Qin

17 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Qin China 9 229 120 109 108 107 20 469
Hannah E. Maier United States 10 219 1.0× 61 0.5× 29 0.3× 227 2.1× 54 0.5× 18 493
Priyanka Uprety United States 11 186 0.8× 24 0.2× 46 0.4× 83 0.8× 46 0.4× 19 345
Marta Elena Álvarez‐Argüelles Spain 12 308 1.3× 58 0.5× 30 0.3× 144 1.3× 70 0.7× 39 493
Athanasios Kossyvakis Greece 12 186 0.8× 26 0.2× 12 0.1× 198 1.8× 26 0.2× 26 404
Sarah Sterrett United States 11 181 0.8× 94 0.8× 5 0.0× 86 0.8× 126 1.2× 15 355
Beng Beng Ong Australia 8 295 1.3× 14 0.1× 384 3.5× 144 1.3× 40 0.4× 16 565
Léna Royston Switzerland 11 199 0.9× 15 0.1× 102 0.9× 268 2.5× 66 0.6× 26 472
Whaijen Soo United States 5 119 0.5× 47 0.4× 40 0.4× 376 3.5× 42 0.4× 7 496
Stéphane G. Paquette Canada 11 211 0.9× 19 0.2× 12 0.1× 188 1.7× 116 1.1× 12 451
Ko‐Yung Sit Hong Kong 6 492 2.1× 87 0.7× 100 0.9× 145 1.3× 34 0.3× 12 671

Countries citing papers authored by Kai Qin

Since Specialization
Citations

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

Fields of papers citing papers by Kai Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Qin. A scholar is included among the top collaborators of Kai Qin 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 Qin. Kai Qin 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.
2.
Qin, Kai, Wan‐Ying Huang, Bin Li, et al.. (2025). Kinesin family member 14 expression and its clinical implications in colorectal cancer. World Journal of Gastrointestinal Oncology. 17(3). 102696–102696. 1 indexed citations
3.
Huang, Wan‐Ying, Kai Qin, Yuxing Tang, et al.. (2025). High expression of stearoyl-coenzyme A desaturase in colorectal cancer oncogenic functions and its potential as a therapeutic target. World Journal of Gastrointestinal Surgery. 17(2). 100237–100237.
4.
Qin, Kai & Xiaolong Fu. (2023). [Research Progress in Imaging-based Diagnosis of Benign and Malignant 
Enlarged Lymph Nodes in Non-small Cell Lung Cancer].. SHILAP Revista de lepidopterología. 26(1). 31–37. 3 indexed citations
5.
Zou, Yanmei, Yali Wang, Yilu Zhou, et al.. (2022). Multi-omics consensus portfolio to refine the classification of lung adenocarcinoma with prognostic stratification, tumor microenvironment, and unique sensitivity to first-line therapies. Translational Lung Cancer Research. 11(11). 2243–2260. 7 indexed citations
6.
Files, Jacob K., Sanghita Sarkar, Sushma Boppana, et al.. (2021). Duration of post-COVID-19 symptoms are associated with sustained SARS-CoV-2 specific immune responses. JCI Insight. 6(15). 48 indexed citations
7.
Boppana, Sushma, Kai Qin, Jacob K. Files, et al.. (2021). SARS-CoV-2-specific circulating T follicular helper cells correlate with neutralizing antibodies and increase during early convalescence. PLoS Pathogens. 17(7). e1009761–e1009761. 48 indexed citations
8.
Bansal, Anju, Kai Qin, Sarah Sterrett, et al.. (2021). HLA-E–restricted HIV-1–specific CD8+ T cell responses in natural infection. Journal of Clinical Investigation. 131(16). 20 indexed citations
9.
10.
Qin, Kai, Sushma Boppana, Jonathan M. Carlson, et al.. (2021). Elevated HIV Infection of CD4 T Cells in MRKAd5 Vaccine Recipients Due to CD8 T Cells Targeting Adapted Epitopes. Journal of Virology. 95(16). e0016021–e0016021. 4 indexed citations
11.
Files, Jacob K., Sushma Boppana, Sanghita Sarkar, et al.. (2020). Sustained cellular immune dysregulation in individuals recovering from SARS-CoV-2 infection. Journal of Clinical Investigation. 131(1). 105 indexed citations
12.
13.
Qin, Kai, Sushma Boppana, Victor Y. Du, et al.. (2019). CD8 T cells targeting adapted epitopes in chronic HIV infection promote dendritic cell maturation and CD4 T cell trans-infection. PLoS Pathogens. 15(8). e1007970–e1007970. 12 indexed citations
14.
Boppana, Sushma, Sarah Sterrett, Jacob K. Files, et al.. (2019). HLA-I Associated Adaptation Dampens CD8 T-Cell Responses in HIV Ad5-Vectored Vaccine Recipients. The Journal of Infectious Diseases. 220(10). 1620–1628. 7 indexed citations
15.
Qin, Kai, Zhichong Wu, Jiabin Jin, Baiyong Shen, & Chenghong Peng. (2018). Internal Hernia Following Robotic Assisted Pancreaticoduodenectomy. Medical Science Monitor. 24. 2287–2293. 4 indexed citations
16.
Mónaco, Daniela C., Darío Dilernia, Kai Qin, et al.. (2018). A12 Transmitted HLA pre-adapted polymorphisms in the GAG protein influences viral evolution in the new host. Virus Evolution. 4(suppl_1). 1 indexed citations
17.
Jin, Jiabin, Shi Chen, Jiangning Gu, et al.. (2017). Minimally invasive distal pancreatectomy for PNETs: laparoscopic or robotic approach?. Oncotarget. 8(20). 33872–33883. 37 indexed citations
18.
Mónaco, Daniela C., Darío Dilernia, Andrew Fioré-Gartland, et al.. (2016). Balance between transmitted HLA preadapted and nonassociated polymorphisms is a major determinant of HIV-1 disease progression. The Journal of Experimental Medicine. 213(10). 2049–2063. 24 indexed citations
19.
Xiong, Ying, Li Fu, Wen Zhou, et al.. (2015). Prevalence and Correlation of Infectious Agents in Hospitalized Children with Acute Respiratory Tract Infections in Central China. PLoS ONE. 10(3). e0119170–e0119170. 31 indexed citations
20.
Liu, Weiyong, Ying Xiong, Wen Zhou, et al.. (2014). Co-Circulation and Genomic Recombination of Coxsackievirus A16 and Enterovirus 71 during a Large Outbreak of Hand, Foot, and Mouth Disease in Central China. PLoS ONE. 9(4). e96051–e96051. 111 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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