Kaixia Mi

1.1k total citations
34 papers, 729 citations indexed

About

Kaixia Mi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Kaixia Mi has authored 34 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 21 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Kaixia Mi's work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (16 papers) and Antibiotic Resistance in Bacteria (4 papers). Kaixia Mi is often cited by papers focused on Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (16 papers) and Antibiotic Resistance in Bacteria (4 papers). Kaixia Mi collaborates with scholars based in China, United States and United Kingdom. Kaixia Mi's co-authors include Ikjin Kim, Hai Rao, John Chan, Xinling Hu, Xiaojing Li, JoAnn M. Tufariello, William R. Jacobs, Guofeng Zhu, Anup Kumar Kesavan and Jiayong Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Kaixia Mi

31 papers receiving 719 citations

Peers

Countries citing papers authored by Kaixia Mi

Since Specialization

Citations

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

Fields of papers citing papers by Kaixia Mi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixia Mi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Efforts toward the Total Synthesis of Thuggacin A 2024 ·Organic Letters ·(unknown), (unknown), (unknown), (unknown), Jun Liu, (unknown), Yuxin Cui, (unknown), Kaixia Mi, Yuguo Du	0
2	Exploration of Lipid Metabolism Alterations in Children with Active Tuberculosis Using UHPLC-MS/MS 2023 ·Journal of Immunology Research ·(unknown), Fang Liu, Qing-qin Yin, Tingting Jiang, Min Fang, (unknown), (unknown), Xue Tian, Adong Shen, Kaixia Mi, Lin Sun	3
3	Trends and challenges of multi-drug resistance in childhood tuberculosis 2023 ·Frontiers in Cellular and Infection Microbiology ·(unknown), Lin Sun, Xiaorui Song, (unknown), (unknown), (unknown), Kaixia Mi	4
4	Advances of new drugs bedaquiline and delamanid in the treatment of multi-drug resistant tuberculosis in children 2023 ·Frontiers in Cellular and Infection Microbiology ·(unknown), (unknown), (unknown), (unknown), (unknown), Kaixia Mi	11
5	The impact of global warming on the signature virulence gene, thermolabile hemolysin, of Vibrio parahaemolyticus 2023 ·Microbiology Spectrum ·(unknown), (unknown), Lin Zhang, (unknown), Baoli Zhu, Na Lv, Kaixia Mi	14
6	Experimental Evolution Reveals Redox State Modulates Mycobacterial Pathogenicity 2022 ·Frontiers in Genetics ·Zheng Jiang, (unknown), Kaixia Mi	2
7	The plasmid‐borne quinolone resistance protein QnrB, a novel DnaA‐binding protein, increases the bacterial mutation rate by triggering DNA replication stress 2019 ·Molecular Microbiology ·Xiaojing Li, Yujiao Zhang, (unknown), Xinling Hu, Yixuan Zhou, Di Liu, Anthony Maxwell, Kaixia Mi	11
8	Mycobacterium tuberculosis universal stress protein Rv2623 interacts with the putative ATP binding cassette (ABC) transporter Rv1747 to regulate mycobacterial growth 2017 ·PLoS Pathogens ·(unknown), (unknown), Sivagami Sundaram Chavadi, JoAnn M. Tufariello, Kaixia Mi, (unknown), TuKiet T. Lam, Guofeng Zhu, Chenyang Zhan, Catherine Vilchèze, Jesús Arcos, Yong Chen, Lijun Bi, Simren Mehta, Steven A. Porcelli, S.C. Almo, Syun‐Ru Yeh, William R. Jacobs, Jordi B. Torrelles, John Chan	41
9	Structural Insight into the Activation of PknI Kinase from M. tuberculosis via Dimerization of the Extracellular Sensor Domain 2017 ·Structure ·(unknown), (unknown), (unknown), (unknown), Wei Zhang, Weihong Zhou, Kaixia Mi, Luke W. Guddat, Haitao Yang, Zihe Rao	5
10	Universal stress protein Rv2624c alters abundance of arginine and enhances intracellular survival by ATP binding in mycobacteria 2016 ·Scientific Reports ·Qiong Jia, Xinling Hu, Dawei Shi, Yan Zhang, Meihao Sun, Jianwei Wang, Kaixia Mi, Guofeng Zhu	16
11	HflX is a ribosome-splitting factor rescuing stalled ribosomes under stress conditions 2015 ·Nature Structural & Molecular Biology ·Yanqing Zhang, Chandra Sekhar Mandava, Wei Cao, Xiaojing Li, Dejiu Zhang, Ningning Li, Yixiao Zhang, Xiaoxiao Zhang, Yan Qin, Kaixia Mi, Jianlin Lei, Suparna Sanyal, Ning Gao	75
12	Differential roles of the hemerythrin-like proteins of Mycobacterium smegmatis in hydrogen peroxide and erythromycin susceptibility 2015 ·Scientific Reports ·Xiaojing Li, Jingjing Li, Xinling Hu, (unknown), Jing Xiao, John Chan, Kaixia Mi	16
13	Proteomic Analysis of Drug-Resistant Mycobacteria: Co-Evolution of Copper and INH Resistance 2015 ·PLoS ONE ·Yuling Chen, Fan Yang, Zhongyuan Sun, Qingtao Wang, Kaixia Mi, Haiteng Deng	11
14	A bacterial hemerythrin-like protein MsmHr inhibits the SigF-dependent hydrogen peroxide response in mycobacteria 2015 ·Frontiers in Microbiology ·Xiaojing Li, Jun Tao, Xinling Hu, John Chan, Jing Xiao, Kaixia Mi	15
15	Functional Characterization of Sirtuin-like Protein inMycobacterium smegmatis 2015 ·Journal of Proteome Research ·(unknown), Yuling Chen, Qingtao Wang, Xiaojing Li, Kaixia Mi, Haiteng Deng	15
16	[A hemerythrin-like protein MSMEG_3312 influences erythromycin resistance in mycobacteria]. 2014 ·PubMed ·(unknown), Xinling Hu, Jun Tao, Kaixia Mi	1
17	Mycobacterium fluoroquinolone resistance protein B, a novel small GTPase, is involved in the regulation of DNA gyrase and drug resistance 2012 ·Nucleic Acids Research ·Jun Tao, (unknown), (unknown), Xinling Hu, Jiaoyu Deng, Joy Fleming, Anthony Maxwell, Lijun Bi, Kaixia Mi	33
18	Mycobacterium tuberculosis Universal Stress Protein Rv2623 Regulates Bacillary Growth by ATP-Binding: Requirement for Establishing Chronic Persistent Infection 2009 ·PLoS Pathogens ·(unknown), Kaixia Mi, P.W. Bilder, Meihao Sun, Jihyeon Lim, Helle Bielefeldt‐Ohmann, Randall J. Basaraba, (unknown), Guofeng Zhu, (unknown), Angelo Izzo, Ian M. Orme, S.C. Almo, Thomas S. Leyh, John Chan	109
19	Correction: Mycobacterium tuberculosis Universal Stress Protein Rv2623 Regulates Bacillary Growth by ATP-Binding: Requirement for Establishing Chronic Persistent Infection 2009 ·PLoS Pathogens ·(unknown), Kaixia Mi, P.W. Bilder, Meihao Sun, (unknown), Helle Bielefeldt‐Ohmann, Randall J. Basaraba, (unknown), Guofeng Zhu, JoAnn M. Tufariello, Angelo Izzo, Ian M. Orme, S.C. Almo, Thomas S. Leyh, John D. Chan	19
20	Multiple Interactions of Rad23 Suggest a Mechanism for Ubiquitylated Substrate Delivery Important in Proteolysis 2004 ·Molecular Biology of the Cell ·Ikjin Kim, Kaixia Mi, Hai Rao	128

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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