Xiao Jiang

1.8k total citations
29 papers, 500 citations indexed

About

Xiao Jiang is a scholar working on Statistics and Probability, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Xiao Jiang has authored 29 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Xiao Jiang's work include Statistical Distribution Estimation and Applications (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Xiao Jiang is often cited by papers focused on Statistical Distribution Estimation and Applications (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Xiao Jiang collaborates with scholars based in China, United Kingdom and Canada. Xiao Jiang's co-authors include Carole Bernard, Ruodu Wang, Steven Vanduffel, Ping Li, Weihan Zhang, Shenyang Li, Fengxiang Song, Xiong Chen, Fengjun Liu and Liping Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Kidney International and The American Journal of Human Genetics.

In The Last Decade

Xiao Jiang

26 papers receiving 482 citations

Peers

Xiao Jiang

MSOR

FINAN

RNMI

ID

SP

Alex Karagrigoriou Greece

Gengsheng Qin United States

Jing Nan China

Roel Braekers Belgium

Seidu Inusah United States

Yuqing Pan China

J. C. Wakefield United Kingdom

Grace Y. Yi Canada

Yazhen Wang United States

Alex Karagrigoriou Greece

Xiao Jiang

63 ×0.6

MSOR

59 ×0.7

FINAN

16 ×0.2

RNMI

39 ×0.6

ID

289 ×4.6

SP

Citations per year, relative to Xiao Jiang Xiao Jiang (= 1×) peers Alex Karagrigoriou

Countries citing papers authored by Xiao Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Xiao Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Jiang. A scholar is included among the top collaborators of Xiao 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 Xiao Jiang. Xiao Jiang 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

1.

Ding, Shujun, et al.. (2024). Serum HIF-1α, IGF-1 and IGFBP-3 correlate to recurrence and overall survival in early-stage hepatocellular carcinoma patients. Biomarkers in Medicine. 18(23). 1027–1036.

2.

Nag, Abhishek, Ryan S. Dhindsa, Xiao Jiang, et al.. (2023). Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank. The American Journal of Human Genetics. 110(3). 487–498. 8 indexed citations

3.

Yang, Minghui, Jin Li, Shoulong Deng, et al.. (2022). Competitive Endogenous RNA Network Activates Host Immune Response in SARS-CoV-2-, panH1N1 (A/California/07/2009)-, and H7N9 (A/Shanghai/1/2013)-Infected Cells. Cells. 11(3). 487–487. 7 indexed citations

4.

Yang, Minghui, Yang Yang, Jun Wang, et al.. (2021). Transcriptome profiling of different types of human respiratory tract cells infected by SARS-CoV-2 highlight an unique role for inflammatory and interferon response. All Life. 14(1). 110–119. 1 indexed citations

5.

Xu, Xiaoguang, James Eales, Xiao Jiang, et al.. (2021). Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics. Cardiovascular Research. 118(15). 3151–3161. 22 indexed citations

6.

Jiang, Xiao, Chunmei Huang, Chun-Mei Feng, et al.. (2021). Associations of Serum S100A12 With Severity and Prognosis in Patients With Community-Acquired Pneumonia: A Prospective Cohort Study. Frontiers in Immunology. 12. 714026–714026. 13 indexed citations

7.

Zhang, Peiyan, Zhao Cai, Weibo Wu, et al.. (2020). The novel coronavirus (COVID-19) pneumonia with negative detection of viral ribonucleic acid from nasopharyngeal swabs: a case report. BMC Infectious Diseases. 20(1). 12 indexed citations

8.

Chen, Chuming, Haihui Wang, Zhichao Liang, et al.. (2020). Predicting Illness Severity and Short-Term Outcomes of COVID-19: A Retrospective Cohort Study in China. The Innovation. 1(1). 100007–100007. 22 indexed citations

9.

Peng, Siqi, Wen Lu, Xiao Jiang, Xingxin Xu, & Yonggui Wu. (2020). IgG deposits in the mesangium and capillary loops predict poor renal outcome in patients with IgA nephropathy: a single-center retrospective study. Renal Failure. 42(1). 902–911. 1 indexed citations

10.

Zhang, Shiqi, Xiaobo Wang, XU Ai-hui, et al.. (2020). The absence of coronavirus in expressed prostatic secretion in COVID-19 patients in Wuhan city. Reproductive Toxicology. 96. 90–94. 29 indexed citations

11.

Sun, Liping, Fengxiang Song, Nannan Shi, et al.. (2020). Combination of four clinical indicators predicts the severe/critical symptom of patients infected COVID-19. Journal of Clinical Virology. 128. 104431–104431. 95 indexed citations

12.

Jiang, Xiao, et al.. (2020). P0044THE BIOLOGICAL AND FUNCTIONAL CHARACTERISATION OF GENES RESPONSIBLE FOR MONOGENIC DISORDERS OF THE KIDNEY. Nephrology Dialysis Transplantation. 35(Supplement_3). 1 indexed citations

13.

Rowland, Joshua, Artur Akbarov, James Eales, et al.. (2019). Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics. Kidney International. 95(3). 624–635. 35 indexed citations

14.

Jiang, Xiao, et al.. (2019). Genetic structure of the endangered, relict shrub Amygdalus mongolica (Rosaceae) in arid northwest China. Australian Journal of Botany. 67(2). 128–139. 9 indexed citations

15.

Yong, Wei Sean, Tingting Cheng, M. Chen, et al.. (2018). An Investigation of an Acute Gastroenteritis Outbreak: Cronobacter sakazakii, a Potential Cause of Food-Borne Illness. Frontiers in Microbiology. 9. 2549–2549. 43 indexed citations

16.

Jiang, Xiao, et al.. (2017). Next generation sequencing for the investigation of an outbreak of Salmonella Schwarzengrund in Nanjing, China. International Journal of Biological Macromolecules. 107(Pt A). 393–396. 11 indexed citations

17.

Nadarajah, Saralees, Xiao Jiang, & Jeffrey Chu. (2017). Comparisons of smallest order statistics from Pareto distributions with different scale and shape parameters. Annals of Operations Research. 254(1-2). 191–209. 8 indexed citations

18.

Nadarajah, Saralees, Jeffrey Chu, & Xiao Jiang. (2015). On moment based density approximations for aggregate losses. Journal of Computational and Applied Mathematics. 298. 152–166. 2 indexed citations

19.

Bernard, Carole, Xiao Jiang, & Steven Vanduffel. (2012). A Note on ‘Improved Fréchet Bounds and Model-Free Pricing of Multi-Asset Options’ by Tankov (2011). Journal of Applied Probability. 49(3). 866–875. 18 indexed citations

20.

Bernard, Carole, Xiao Jiang, & Steven Vanduffel. (2012). A Note on ‘Improved Fréchet Bounds and Model-Free Pricing of Multi-Asset Options’ by Tankov (2011). Journal of Applied Probability. 49(3). 866–875. 7 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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