Taijiao Jiang

3.4k total citations
78 papers, 2.2k citations indexed

About

Taijiao Jiang is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Taijiao Jiang has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 20 papers in Epidemiology and 9 papers in Artificial Intelligence. Recurrent topics in Taijiao Jiang's work include RNA and protein synthesis mechanisms (20 papers), Influenza Virus Research Studies (19 papers) and Protein Structure and Dynamics (9 papers). Taijiao Jiang is often cited by papers focused on RNA and protein synthesis mechanisms (20 papers), Influenza Virus Research Studies (19 papers) and Protein Structure and Dynamics (9 papers). Taijiao Jiang collaborates with scholars based in China, United States and Australia. Taijiao Jiang's co-authors include Amy E. Keating, Bonnie Berger, Aiping Wu, Yousong Peng, Sidney Altman, Yang Cao, Jiya Sun, Zhichao Miao, Anfei Huang and F. Xiao‐Feng Qin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Taijiao Jiang

76 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taijiao Jiang China 24 1.2k 351 225 188 177 78 2.2k
Xiao Tian China 23 1.5k 1.2× 368 1.0× 239 1.1× 348 1.9× 178 1.0× 55 2.8k
Prasanna R. Kolatkar Singapore 32 1.8k 1.5× 304 0.9× 289 1.3× 131 0.7× 165 0.9× 94 2.9k
Stanislaw A. Gorski United States 12 1.7k 1.4× 136 0.4× 188 0.8× 149 0.8× 233 1.3× 13 2.2k
Brian P. Brunk United States 21 2.2k 1.8× 465 1.3× 205 0.9× 219 1.2× 404 2.3× 31 3.3k
Terrence Chi‐Kong Lau Hong Kong 24 1.3k 1.1× 301 0.9× 144 0.6× 60 0.3× 121 0.7× 76 2.2k
Ulrich Omasits Switzerland 21 1.5k 1.3× 209 0.6× 298 1.3× 146 0.8× 334 1.9× 27 2.6k
Hiroaki Takagi Japan 24 1.0k 0.8× 222 0.6× 171 0.8× 188 1.0× 128 0.7× 87 1.8k
Daniel R. Boutz United States 22 1.5k 1.3× 143 0.4× 267 1.2× 134 0.7× 69 0.4× 33 2.2k
Chiou‐Hwa Yuh Taiwan 31 1.6k 1.3× 605 1.7× 275 1.2× 316 1.7× 112 0.6× 75 2.7k
Mirita Franz‐Wachtel Germany 30 1.8k 1.5× 482 1.4× 426 1.9× 352 1.9× 343 1.9× 73 2.9k

Countries citing papers authored by Taijiao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Taijiao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taijiao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Taijiao Jiang. A scholar is included among the top collaborators of Taijiao 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 Taijiao Jiang. Taijiao 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.
Li, Honglei, Jiangyuan Wang, Le Zhang, et al.. (2024). PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network. Briefings in Bioinformatics. 25(2). 3 indexed citations
2.
Lu, Congyu, Ye Qiu, Heping Zheng, et al.. (2022). An atlas of human viruses provides new insights into diversity and tissue tropism of human viruses. Bioinformatics. 38(11). 3087–3093. 14 indexed citations
3.
Cai, Zena, Ye Qiu, Aiping Wu, et al.. (2022). vsRNAfinder: a novel method for identifying high-confidence viral small RNAs from small RNA-Seq data. Briefings in Bioinformatics. 23(6). 2 indexed citations
6.
Deng, Lizong, et al.. (2022). PIAT: An Evolutionarily Intelligent System for Deep Phenotyping of Chinese Electronic Health Records. IEEE Journal of Biomedical and Health Informatics. 26(8). 4142–4152. 1 indexed citations
7.
Deng, Lizong, et al.. (2021). Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. Journal of Medical Internet Research. 23(6). e26892–e26892. 6 indexed citations
8.
Victor, Brandon, et al.. (2020). DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network. Briefings in Bioinformatics. 22(4). 6 indexed citations
9.
Zhang, Zheng, et al.. (2020). Prediction of the Receptorome for the Human-Infecting Virome. Virologica Sinica. 36(1). 133–140. 12 indexed citations
11.
Li, Yatong, et al.. (2017). Genome‐wide RNA‐Seq identifies Fas/FasL‐mediated tumoricidal activity of embryonic stem cells. International Journal of Cancer. 142(9). 1829–1841. 6 indexed citations
12.
Tang, Fei, Peng Zhang, Peiying Ye, et al.. (2017). A population of innate myelolymphoblastoid effector cell expanded by inactivation of mTOR complex 1 in mice. eLife. 6. 5 indexed citations
13.
Yuan, Lina, Yang Yu, Yanmin Zhu, et al.. (2017). GAAP: Genome-organization-framework-Assisted Assembly Pipeline for prokaryotic genomes. BMC Genomics. 18(S1). 952–952. 6 indexed citations
14.
Wang, Jianhong, Yousong Peng, Bin Liu, et al.. (2016). Extracting Clinical entities and their assertions from Chinese Electronic Medical Records Based on Machine Learning. 1 indexed citations
15.
Tang, Fei, Peng Zhang, Taijiao Jiang, et al.. (2016). Trap1a is an X-linked and cell-intrinsic regulator of thymocyte development. Cellular and Molecular Immunology. 14(8). 685–692. 4 indexed citations
16.
Peng, Yousong, et al.. (2014). Inferring the antigenic epitopes for highly pathogenic avian influenza H5N1 viruses. Vaccine. 32(6). 671–676. 16 indexed citations
17.
Wang, Yong‐Qiang, Xinlei Zhang, Hong Zhang, et al.. (2012). Coiled-coil networking shapes cell molecular machinery. Molecular Biology of the Cell. 23(19). 3911–3922. 60 indexed citations
18.
Dong, Xiaoxi, et al.. (2011). Incorporation of Local Structural Preference Potential Improves Fold Recognition. PLoS ONE. 6(2). e17215–e17215. 12 indexed citations
19.
Cao, Yang, et al.. (2010). Improved side-chain modeling by coupling clash-detection guided iterative search with rotamer relaxation. Bioinformatics. 27(6). 785–790. 50 indexed citations
20.
Jiang, Taijiao, et al.. (1998). The Effect of Reversed Micelles on Horseradish Peroxidase (HRP) Structure and Function.. PubMed. 30(2). 132–136. 4 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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