Xiangao Jiang

3.2k total citations · 1 hit paper
34 papers, 2.0k citations indexed

About

Xiangao Jiang is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Xiangao Jiang has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 16 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Xiangao Jiang's work include Tuberculosis Research and Epidemiology (11 papers), COVID-19 Clinical Research Studies (9 papers) and Mycobacterium research and diagnosis (9 papers). Xiangao Jiang is often cited by papers focused on Tuberculosis Research and Epidemiology (11 papers), COVID-19 Clinical Research Studies (9 papers) and Mycobacterium research and diagnosis (9 papers). Xiangao Jiang collaborates with scholars based in China. Xiangao Jiang's co-authors include Xiaowei Xu, Xiaoxin Wu, Lingjun Ying, Chunlian Ma, Yunqing Qiu, Hainv Gao, Shibo Li, Sheng Zhang, Huaying Wang and Jifang Sheng and has published in prestigious journals such as BMJ, Journal of Ethnopharmacology and Toxicology and Applied Pharmacology.

In The Last Decade

Xiangao Jiang

28 papers receiving 1.9k citations

Hit Papers

Clinical findings in a group of patients infected with th... 2020 2026 2022 2024 2020 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series
    2020 1.5k citations Xiaowei Xu, Xiaoxin Wu et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangao Jiang China 9 1.3k 654 321 294 275 34 2.0k
Raffaela Di Napoli Italy 5 1.0k 0.8× 340 0.5× 226 0.7× 201 0.7× 108 0.4× 5 2.0k
Nanchuan Jiang China 7 1.8k 1.4× 920 1.4× 1.0k 3.2× 459 1.6× 251 0.9× 16 2.9k
Hongliu Cai China 16 1.6k 1.2× 774 1.2× 164 0.5× 416 1.4× 318 1.2× 51 2.7k
Jin Gu China 10 1.9k 1.4× 1.1k 1.6× 1.1k 3.4× 504 1.7× 274 1.0× 13 3.2k
Liping Deng China 13 1.6k 1.2× 924 1.4× 136 0.4× 375 1.3× 385 1.4× 50 2.2k
Yanli Xu China 9 2.5k 1.9× 513 0.8× 849 2.6× 622 2.1× 299 1.1× 20 3.8k
Scott C. Dulebohn United States 5 1.0k 0.8× 420 0.6× 277 0.9× 194 0.7× 114 0.4× 12 2.1k

Countries citing papers authored by Xiangao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangao Jiang. A scholar is included among the top collaborators of Xiangao 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 Xiangao Jiang. Xiangao 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.
Liao, Jun, Liang Li, Zhi‐Cheng Xiao, et al.. (2025). Synergistic anti-inflammatory effect of cascade nanozymes for neural recovery in ischemic stroke. Chinese Chemical Letters. 37(1). 110956–110956. 6 indexed citations
2.
Lin, Xiaoqing, Qiang Zhang, Mingying Zhang, et al.. (2025). Difference of clinical characteristics in patients with reinfection and primary infection variants of SARS-CoV-2: a retrospective study in China. BMC Infectious Diseases. 25(1). 173–173.
3.
Zhang, Yan, Jianan Zhang, Wenfang Lai, et al.. (2025). Integrated transcriptomics and metabolomics unravel the key metabolic pathways involved in the therapeutic mechanism of Salvianic acid A against hepatic fibrosis. Toxicology and Applied Pharmacology. 500. 117398–117398. 2 indexed citations
4.
Wu, L. J., et al.. (2025). Trends in Drug Resistance and Epidemiological Patterns of Tuberculosis in Elderly Patients in Wenzhou, China (2014-2023). Infection and Drug Resistance. Volume 18. 3459–3470.
5.
6.
Cai, Xiaoxiao, Xueqin Xu, Guiqing He, Xiangao Jiang, & Lianpeng Wu. (2024). Drug resistance in drug-resistant tuberculosis patients with and without diabetes mellitus: a comparative analysis. BMC Infectious Diseases. 24(1). 807–807. 3 indexed citations
7.
Cheng, Fang, et al.. (2023). Relevance of NAT2 Genotype and Clinical Factors to Risk for Antituberculosis Drug-Induced Liver Injury. Pharmacogenomics. 25(1). 21–28. 2 indexed citations
8.
Wu, Zhengxing, Xiaojing Liu, Qiang Zhang, et al.. (2023). Efficacy and safety of Nirmatrelvir/Ritonavir for treating the Omicron variant of COVID-19. Frontiers in Medicine. 10. 1161193–1161193. 2 indexed citations
9.
10.
Cheng, Fang, et al.. (2023). N-acetyltransferase 2 genetic polymorphisms and anti-tuberculosis-drug-induced liver injury: a correlation study. Frontiers in Pharmacology. 14. 1171353–1171353. 4 indexed citations
11.
Zhao, Zhimin, Jiaquan Huang, Xiaodong Li, et al.. (2022). Efficacy and safety of Fuzheng Huayu tablet on persistent advanced liver fibrosis following 2 years entecavir treatment: A single arm clinical objective performance criteria trial. Journal of Ethnopharmacology. 298. 115599–115599. 13 indexed citations
12.
13.
Ye, Xinchun, Risheng Huang, Zhijie Yu, et al.. (2021). Clinical Characteristics of Patients With Re-admitted of Novel Coronavirus 2019 (nCOVID-19) in Wenzhou, China. Frontiers in Public Health. 9. 649178–649178. 2 indexed citations
14.
Shi, Jichan, et al.. (2021). Correlation Analysis Between Serum Uric Acid, Prealbumin Level, Lactate Dehydrogenase, and Severity of COVID-19. Frontiers in Molecular Biosciences. 8. 615837–615837. 8 indexed citations
15.
Shi, Jichan, et al.. (2020). Imaging features of COVID-19: A series of 56 cases. 13. 1 indexed citations
16.
17.
Xu, Xiaowei, Xiaoxin Wu, Xiangao Jiang, et al.. (2020). Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. BMJ. 368. m606–m606. 1497 indexed citations breakdown →
18.
Jiang, Xiangao, et al.. (2020). Differential diagnosis for suspected cases of coronavirus disease 2019: a retrospective study. BMC Infectious Diseases. 20(1). 679–679. 8 indexed citations
19.
Jin, Lingling, et al.. (2019). SNHG20 knockdown suppresses proliferation, migration and invasion, and promotes apoptosis in non-small cell lung cancer through acting as a miR-154 sponge. Biomedicine & Pharmacotherapy. 112. 108648–108648. 25 indexed citations
20.
Shi, Jichan, et al.. (2015). ZNRF3 contributes to the growth of lung carcinoma via inhibiting Wnt/β-catenin pathway and is regulated by miR-93. Tumor Biology. 37(3). 3051–3057. 19 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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