Jing Miao

3.0k total citations · 2 hit papers
97 papers, 2.2k citations indexed

About

Jing Miao is a scholar working on Health Informatics, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing Miao has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Health Informatics, 21 papers in Nephrology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing Miao's work include Artificial Intelligence in Healthcare and Education (36 papers), Renal Diseases and Glomerulopathies (13 papers) and Machine Learning in Healthcare (10 papers). Jing Miao is often cited by papers focused on Artificial Intelligence in Healthcare and Education (36 papers), Renal Diseases and Glomerulopathies (13 papers) and Machine Learning in Healthcare (10 papers). Jing Miao collaborates with scholars based in United States, Thailand and China. Jing Miao's co-authors include Qinghua Cui, Ming Lü, Charat Thongprayoon, Wisit Cheungpasitporn, Qipeng Zhang, Min Deng, Yanhong Guo, Wei Gao, Supawadee Suppadungsuk and Oscar A. Garcia Valencia and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jing Miao

88 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

An Analysis of Human MicroRNA and Disease Associations

2008 757 citations Jing Miao et al. profile →
Integrating Retrieval-Augmented Generation with Large Language Models in Nephrology: Advancing Practical Applications

2024 73 citations Jing Miao, Charat Thongprayoon et al. Medicina profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Miao United States	22	911	655	448	274	194	97	2.2k
Mamatha Bhat Canada	31	1.1k 1.2×	312 0.5×	54 0.1×	75 0.3×	213 1.1×	173	3.6k
Jing Cai China	30	1.2k 1.3×	714 1.1×	43 0.1×	108 0.4×	393 2.0×	99	2.8k
Yuqun Zeng China	11	468 0.5×	109 0.2×	55 0.1×	366 1.3×	90 0.5×	21	1.3k
Reza Mirnezami United Kingdom	25	987 1.1×	416 0.6×	38 0.1×	59 0.2×	418 2.2×	51	3.1k
Hua Jiang China	20	562 0.6×	132 0.2×	25 0.1×	35 0.1×	173 0.9×	112	1.6k
Kefeng Ding China	28	1.6k 1.8×	1.2k 1.8×	21 0.0×	114 0.4×	538 2.8×	185	3.6k
Jeremy R. Glissen Brown United States	24	271 0.3×	39 0.1×	254 0.6×	518 1.9×	832 4.3×	72	2.6k
Joseph Ahn United States	23	344 0.4×	190 0.3×	26 0.1×	56 0.2×	190 1.0×	121	3.0k
Fang Wu China	23	689 0.8×	346 0.5×	45 0.1×	43 0.2×	428 2.2×	112	1.9k

Countries citing papers authored by Jing Miao

Since Specialization

Citations

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

Fields of papers citing papers by Jing Miao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Miao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cheungpasitporn, Wisit, et al.. (2025). WCN25-3435 SUCCESSFUL MANAGEMENT OF COLCHICINE TOXICITY-INDUCED MULTI-ORGAN FAILURE THROUGH CONTINUOUS RENAL REPLACEMENT THERAPY. Kidney International Reports. 10(2). S50–S50.

Thongprayoon, Charat, Fawad Qureshi, Jing Miao, et al.. (2025). WCN25-359 COMPARATIVE ANALYSIS OF CHATGPT-4 AND CLAUDE 3 OPUS IN ANSWERING ACUTE KIDNEY INJURY AND CRITICAL CARE NEPHROLOGY QUESTIONS. Kidney International Reports. 10(2). S729–S729. 1 indexed citations

Miao, Jing, Musab S. Hommos, Gary L. Schwartz, et al.. (2025). Performance of Large Language Models in Analyzing Common Hypertension Scenarios. Hypertension. 83(1). 225–234.

Miao, Jing, Lisa E. Vaughan, María José Soler, et al.. (2025). Clinical phenotypes and renal outcomes in PLA2R-associated membranous nephropathy: a multi-center cohort study with unsupervised cluster analysis. Nephrology Dialysis Transplantation. 40(12). 2309–2318. 1 indexed citations

Suppadungsuk, Supawadee, Paul W. Davis, Jing Miao, et al.. (2024). Assessing global and regional public interest in home dialysis modalities from 2004 to 2024. SHILAP Revista de lepidopterología. 4. 1489180–1489180. 1 indexed citations

Thongprayoon, Charat, Supawadee Suppadungsuk, Jing Miao, et al.. (2024). The evolution of public attention in acute kidney injury and continuous renal replacement therapy: trends analysis from 2004 to 2024. SHILAP Revista de lepidopterología. 4. 1472144–1472144. 1 indexed citations

Thongprayoon, Charat, et al.. (2024). Digital health tools in nephrology: A comparative analysis of AI and professional opinions via online polls. Digital Health. 10. 599921170–599921170. 2 indexed citations

Krisanapan, Pajaree, Pattharawin Pattharanitima, Charat Thongprayoon, et al.. (2024). Safety and Efficacy of GLP-1 Receptor Agonists in Type 2 Diabetes Mellitus with Advanced and End-Stage Kidney Disease: A Systematic Review and Meta-Analysis. SHILAP Revista de lepidopterología. 12(1). 14–14. 16 indexed citations

Thongprayoon, Charat, Supawadee Suppadungsuk, Pajaree Krisanapan, et al.. (2024). Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention. Journal of Personalized Medicine. 14(1). 107–107. 17 indexed citations

10.

Miao, Jing, et al.. (2024). Clinicopathological Characteristics and Kidney Outcomes in Biopsy-Confirmed Acute Interstitial Nephritis. Kidney International Reports. 9(12). 3542–3552. 9 indexed citations

11.

Miao, Jing, Charat Thongprayoon, Supawadee Suppadungsuk, et al.. (2024). Chain of Thought Utilization in Large Language Models and Application in Nephrology. Medicina. 60(1). 148–148. 37 indexed citations

12.

Thongprayoon, Charat, Supawadee Suppadungsuk, Pajaree Krisanapan, et al.. (2024). Global Trends in Kidney Stone Awareness: A Time Series Analysis from 2004–2023. SHILAP Revista de lepidopterología. 14(3). 915–927. 8 indexed citations

13.

Miao, Jing, Charat Thongprayoon, Supawadee Suppadungsuk, et al.. (2023). Ethical Dilemmas in Using AI for Academic Writing and an Example Framework for Peer Review in Nephrology Academia: A Narrative Review. SHILAP Revista de lepidopterología. 14(1). 89–105. 44 indexed citations

14.

Miao, Jing, Charat Thongprayoon, Supawadee Suppadungsuk, et al.. (2023). Innovating Personalized Nephrology Care: Exploring the Potential Utilization of ChatGPT. Journal of Personalized Medicine. 13(12). 1681–1681. 24 indexed citations

15.

Thongprayoon, Charat, Jing Miao, Caroline C. Jadlowiec, et al.. (2023). Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering. Medicina. 59(5). 977–977. 2 indexed citations

16.

Krisanapan, Pajaree, Supawit Tangpanithandee, Charat Thongprayoon, et al.. (2023). Safety and Efficacy of Vaptans in the Treatment of Hyponatremia from Syndrome of Inappropriate Antidiuretic Hormone Secretion (SIADH): A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 12(17). 5483–5483. 9 indexed citations

17.

Nguyen, Bryan, Supawit Tangpanithandee, Jing Miao, et al.. (2023). Efficacy and Safety of Plasma Exchange as an Adjunctive Therapy for Rapidly Progressive IgA Nephropathy and Henoch-Schönlein Purpura Nephritis: A Systematic Review. International Journal of Molecular Sciences. 24(4). 3977–3977. 2 indexed citations

18.

Miao, Jing, Charat Thongprayoon, Oscar A. Garcia Valencia, et al.. (2023). Performance of ChatGPT on Nephrology Test Questions. Clinical Journal of the American Society of Nephrology. 19(1). 35–43. 52 indexed citations

19.

Miao, Jing, Filippo Pinto e Vairo, Marie C. Hogan, et al.. (2021). Identification of Genetic Causes of Focal Segmental Glomerulosclerosis Increases With Proper Patient Selection. Mayo Clinic Proceedings. 96(9). 2342–2353. 27 indexed citations

20.

Miao, Jing, et al.. (2016). [Screening and follow-up treatment of 160 046 neonates with congenital adrenal hyperplasia in Ningxia, China].. PubMed. 18(8). 698–701. 1 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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