Kaijun Jiang

5.3k total citations
24 papers, 812 citations indexed

About

Kaijun Jiang is a scholar working on Infectious Diseases, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Kaijun Jiang has authored 24 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 11 papers in Epidemiology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Kaijun Jiang's work include Influenza Virus Research Studies (10 papers), Adaptive Dynamic Programming Control (6 papers) and Viral Infections and Vectors (6 papers). Kaijun Jiang is often cited by papers focused on Influenza Virus Research Studies (10 papers), Adaptive Dynamic Programming Control (6 papers) and Viral Infections and Vectors (6 papers). Kaijun Jiang collaborates with scholars based in China, United States and Austria. Kaijun Jiang's co-authors include Florian Krammer, Daniel Stadlbauer, Fatima Amanat, Meagan McMahon, Viviana Simon, Christina Capuano, Su Hui Catherine Teo, Guha Asthagiri Arunkumar, Jessica Tan and Shirin Strohmeier and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Kaijun Jiang

22 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaijun Jiang China 10 603 245 95 91 76 24 812
Patricia Sastre Spain 11 591 1.0× 120 0.5× 176 1.9× 53 0.6× 93 1.2× 24 820
Jyh-Yuan Yang Taiwan 11 570 0.9× 176 0.7× 164 1.7× 86 0.9× 130 1.7× 17 854
Alexandre Gaymard France 13 492 0.8× 273 1.1× 33 0.3× 40 0.4× 163 2.1× 30 738
Runyu Yuan China 18 487 0.8× 418 1.7× 199 2.1× 202 2.2× 104 1.4× 44 887
Shujuan Cui China 12 365 0.6× 243 1.0× 65 0.7× 43 0.5× 74 1.0× 41 541
Dennis de Meulder Netherlands 11 526 0.9× 404 1.6× 158 1.7× 90 1.0× 78 1.0× 20 906
Jessica Tan United States 10 498 0.8× 329 1.3× 22 0.2× 167 1.8× 120 1.6× 16 796
Rongbao Gao China 15 502 0.8× 563 2.3× 241 2.5× 139 1.5× 129 1.7× 43 1.0k
Paul S. Wikramaratna United Kingdom 10 469 0.8× 148 0.6× 50 0.5× 24 0.3× 52 0.7× 16 666
Tabea Binger Germany 13 979 1.6× 202 0.8× 33 0.3× 61 0.7× 103 1.4× 20 1.2k

Countries citing papers authored by Kaijun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaijun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaijun Jiang. A scholar is included among the top collaborators of Kaijun Jiang 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 Kaijun Jiang. Kaijun Jiang 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.
Zhang, Qian, Marcela Moncada‐Vélez, Kaijun Jiang, et al.. (2025). Autoantibodies neutralizing type I IFNs in a fatal case of H5N1 avian influenza. The Journal of Experimental Medicine. 223(3). 1 indexed citations
2.
Wang, Xiaochen, Kaijun Jiang, Wanli Xing, et al.. (2025). Clustering Mycobacterium tuberculosis-specific CD154+CD4+ T cells for distinguishing tuberculosis disease from infection based on single-cell RNA-seq analysis. Journal of Infection. 90(4). 106449–106449. 1 indexed citations
3.
Qin, Chunbin, et al.. (2025). Event-triggered H∞ control for unknown constrained nonlinear systems with application to robot arm. Applied Mathematical Modelling. 144. 116089–116089. 7 indexed citations
4.
Huang, Yi, Kaijun Jiang, Xiaochen Wang, et al.. (2025). Immune profile and routine laboratory indicator-based machine learning for prediction of lung cancer. Computers in Biology and Medicine. 190. 110111–110111.
5.
6.
7.
Roubidoux, Ericka Kirkpatrick, Kaori Sano, Meagan McMahon, et al.. (2022). Novel Epitopes of the Influenza Virus N1 Neuraminidase Targeted by Human Monoclonal Antibodies. Journal of Virology. 96(9). e0033222–e0033222. 9 indexed citations
8.
Roubidoux, Ericka Kirkpatrick, Meagan McMahon, Juan Manuel Carreño, et al.. (2021). Identification and Characterization of Novel Antibody Epitopes on the N2 Neuraminidase. mSphere. 6(1). 18 indexed citations
9.
Roubidoux, Ericka Kirkpatrick, Juan Manuel Carreño, Meagan McMahon, et al.. (2021). Mutations in the Hemagglutinin Stalk Domain Do Not Permit Escape from a Protective, Stalk-Based Vaccine-Induced Immune Response in the Mouse Model. mBio. 12(1). 21 indexed citations
10.
Aydillo, Teresa, Alexander Rombauts, Daniel Stadlbauer, et al.. (2021). Immunological imprinting of the antibody response in COVID-19 patients. Nature Communications. 12(1). 3781–3781. 117 indexed citations
11.
Stadlbauer, Daniel, Jessica Tan, Kaijun Jiang, et al.. (2020). Repeated cross-sectional sero-monitoring of SARS-CoV-2 in New York City. Nature. 590(7844). 146–150. 72 indexed citations
12.
Kirkpatrick, Ericka, Carole Henry, Meagan McMahon, et al.. (2020). Characterization of Novel Cross-Reactive Influenza B Virus Hemagglutinin Head Specific Antibodies That Lack Hemagglutination Inhibition Activity. Journal of Virology. 94(23). 7 indexed citations
13.
Stadlbauer, Daniel, Fatima Amanat, Veronika Chromikova, et al.. (2020). SARS‐CoV‐2 Seroconversion in Humans: A Detailed Protocol for a Serological Assay, Antigen Production, and Test Setup. Current Protocols in Microbiology. 57(1). e100–e100. 362 indexed citations
14.
Li, Juan, Min Gu, Kaituo Liu, et al.. (2019). Amino acid substitutions in antigenic region B of hemagglutinin play a critical role in the antigenic drift of subclade 2.3.4.4 highly pathogenic H5NX influenza viruses. Transboundary and Emerging Diseases. 67(1). 263–275. 12 indexed citations
15.
Hemert, Caroline Van, Brian D. Uher‐Koch, Todd C. Atwood, et al.. (2018). SURVEY OF ARCTIC ALASKAN WILDLIFE FOR INFLUENZA A ANTIBODIES: LIMITED EVIDENCE FOR EXPOSURE OF MAMMALS. Journal of Wildlife Diseases. 55(2). 387–387. 9 indexed citations
16.
Li, Juan, Min Gu, Dong Liu, et al.. (2015). Phylogenetic and biological characterization of three K1203 (H5N8)-like avian influenza A virus reassortants in China in 2014. Archives of Virology. 161(2). 289–302. 25 indexed citations
17.
He, Liang, Qiwen Wu, Kaijun Jiang, et al.. (2014). Differences in transmissibility and pathogenicity of reassortants between H9N2 and 2009 pandemic H1N1 influenza A viruses from humans and swine. Archives of Virology. 159(7). 1743–1754. 6 indexed citations
18.
Gu, Min, Qunhui Li, Junqing Huang, et al.. (2014). Enzootic genotype S of H9N2 avian influenza viruses donates internal genes to emerging zoonotic influenza viruses in China. Veterinary Microbiology. 174(3-4). 309–315. 86 indexed citations
19.
Zhu, Jun‐Jie, Jungen Tang, Guojun Wu, et al.. (1997). [Preliminary studies on proliferation of hemorrhagic fever with renal syndrome virus in Leptotrombidium (L.) Scutellare].. PubMed. 11(3). 259–62. 6 indexed citations
20.
Wu, Gang, et al.. (1996). The role of Leptotrombidium scutellare in the transmission of human diseases.. PubMed. 109(9). 670–3. 29 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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