Yanhong Jia

1.2k total citations
24 papers, 979 citations indexed

About

Yanhong Jia is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Yanhong Jia has authored 24 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Yanhong Jia's work include Sepsis Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (6 papers) and Extracellular vesicles in disease (4 papers). Yanhong Jia is often cited by papers focused on Sepsis Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (6 papers) and Extracellular vesicles in disease (4 papers). Yanhong Jia collaborates with scholars based in China, Philippines and Spain. Yanhong Jia's co-authors include Dan Feng, Lixin Xie, Huijuan Wang, Pengjun Zhang, Weijun Chen, Longxiang Su, Lixin Xie, Jie Zhang, Lin Feng and Peng Yan and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Critical Care.

In The Last Decade

Yanhong Jia

22 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanhong Jia China 15 426 377 335 318 146 24 979
Rosemarijn Renckens Netherlands 13 192 0.5× 189 0.5× 154 0.5× 109 0.3× 46 0.3× 14 737
Shin Kibe Japan 9 128 0.3× 261 0.7× 160 0.5× 82 0.3× 82 0.6× 11 660
Roman Jung Germany 17 167 0.4× 173 0.5× 151 0.5× 87 0.3× 105 0.7× 25 761
Mark T. Lin United States 13 398 0.9× 194 0.5× 216 0.6× 54 0.2× 97 0.7× 17 1.0k
Jens Altrichter Germany 13 350 0.8× 185 0.5× 154 0.5× 34 0.1× 44 0.3× 33 657
Maryse Dagenais Canada 10 329 0.8× 111 0.3× 424 1.3× 57 0.2× 22 0.2× 16 700
Sonia Souza United States 8 269 0.6× 249 0.7× 132 0.4× 31 0.1× 52 0.4× 10 605
Kuei‐Pin Chung Taiwan 18 157 0.4× 381 1.0× 380 1.1× 67 0.2× 23 0.2× 42 1.1k
Kang Hyeon Choe South Korea 15 223 0.5× 169 0.4× 293 0.9× 227 0.7× 24 0.2× 52 1.2k
J.D. Edgeworth United Kingdom 7 335 0.8× 261 0.7× 146 0.4× 23 0.1× 56 0.4× 9 653

Countries citing papers authored by Yanhong Jia

Since Specialization
Citations

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

Fields of papers citing papers by Yanhong Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanhong Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Yanhong Jia. A scholar is included among the top collaborators of Yanhong Jia 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 Yanhong Jia. Yanhong Jia 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
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Jia, Yanhong, et al.. (2025). Evaluation of six GFR estimation equations in Chinese patients with chronic kidney disease. Clinica Chimica Acta. 575. 120374–120374. 1 indexed citations
4.
Jia, Yanhong, Rui Liu, Shi Tang, et al.. (2021). Associations of the Glycaemic Control of Diabetes with Dementia and Physical Function in Rural-Dwelling Older Chinese Adults: A Population-Based Study. Clinical Interventions in Aging. Volume 16. 1503–1513. 9 indexed citations
5.
Xiao, Kun, Longxiang Su, Peng Yan, et al.. (2015). α-1-Acid glycoprotein as a biomarker for the early diagnosis and monitoring the prognosis of sepsis. Journal of Critical Care. 30(4). 744–751. 22 indexed citations
6.
Chen, Jie, Yanping Luo, Shu Zhang, et al.. (2014). Community-acquired necrotizing pneumonia caused by methicillin-resistant Staphylococcus aureus producing Panton–Valentine leukocidin in a Chinese teenager: case report and literature review. International Journal of Infectious Diseases. 26. 17–21. 31 indexed citations
7.
Li, Ming, Longxiang Su, Huijuan Wang, et al.. (2014). Alterations of T Helper Lymphocyte Subpopulations in Sepsis, Severe Sepsis, and Septic Shock: A Prospective Observational Study. Inflammation. 38(3). 995–1002. 60 indexed citations
8.
Wang, Huijuan, Pengjun Zhang, Weijun Chen, et al.. (2013). Characterization and Identification of Novel Serum MicroRNAs in Sepsis Patients With Different Outcomes. Shock. 39(6). 480–487. 44 indexed citations
9.
Deng, Jie, Longxiang Su, Zhixin Liang, et al.. (2013). Effects of Vitamin B6 Therapy for Sepsis Patients with Linezolid-Associated Cytopenias: A Retrospective Study. Current Therapeutic Research. 74. 26–32. 5 indexed citations
10.
Su, Longxiang, Lin Feng, Qing Song, et al.. (2013). Diagnostic Value of Dynamics Serum sCD163, sTREM-1, PCT, and CRP in Differentiating Sepsis, Severity Assessment, and Prognostic Prediction. Mediators of Inflammation. 2013. 1–9. 60 indexed citations
11.
Wang, Huijuan, Baozeng Wang, Pengjun Zhang, et al.. (2013). Identification of four novel serum protein biomarkers in sepsis patients encoded by target genes of sepsis-related miRNAs. Clinical Science. 126(12). 857–867. 16 indexed citations
12.
Wang, Huijuan, Pengjun Zhang, Weijun Chen, et al.. (2012). Evidence for serum miR-15a and miR-16 levels as biomarkers that distinguish sepsis from systemic inflammatory response syndrome in human subjects. Clinical Chemistry and Laboratory Medicine (CCLM). 50(8). 1423–8. 93 indexed citations
13.
14.
Su, Longxiang, Lin Feng, Changting Liu, et al.. (2012). Diagnostic value of urine sCD163 levels for sepsis and relevant acute kidney injury: a prospective study. BMC Nephrology. 13(1). 123–123. 12 indexed citations
15.
Feng, Lin, Xin‐Fu Zhou, Longxiang Su, et al.. (2012). Clinical Significance of Soluble Hemoglobin Scavenger Receptor CD163 (sCD163) in Sepsis, a Prospective Study. PLoS ONE. 7(7). e38400–e38400. 52 indexed citations
16.
Wang, Huijuan, Pengjun Zhang, Weijun Chen, et al.. (2012). Four serum microRNAs identified as diagnostic biomarkers of sepsis. The Journal of Trauma: Injury, Infection, and Critical Care. 73(4). 850–854. 95 indexed citations
17.
Wang, Huijuan, Pengjun Zhang, Weijun Chen, et al.. (2012). Serum MicroRNA Signatures Identified by Solexa Sequencing Predict Sepsis Patients’ Mortality: A Prospective Observational Study. PLoS ONE. 7(6). e38885–e38885. 144 indexed citations
18.
Liang, Jian, et al.. (2011). Surgical Resection and Liposomal Amphotericin B to Treat Cavitary Pulmonary Zygomycosis in a Patient With Diabetes. Respiratory Care. 56(11). 1837–1839. 4 indexed citations
19.
Zhang, Jie, Danyang She, Dan Feng, Yanhong Jia, & Lixin Xie. (2011). Dynamic changes of serum soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) reflect sepsis severity and can predict prognosis: a prospective study. BMC Infectious Diseases. 11(1). 53–53. 78 indexed citations
20.
Su, Longxiang, Lin Feng, Jie Zhang, et al.. (2011). Diagnostic value of urine sTREM-1 for sepsis and relevant acute kidney injuries: a prospective study. Critical Care. 15(5). 49 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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