Jing Miao

3.0k citations
97 papers · 2.2k indexed · 2 hit papers · h-index 22
Topics
Artificial Intelligence in Healthcare and Education (36 papers)Renal Diseases and Glomerulopathies (13 papers)Machine Learning in Healthcare (10 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Jing Miao

88 papers receiving 2.1k citations

Hit Papers

An Analysis of Human MicroRNA and Disease Associations200820262014202020082024250500750

Peers

Jing Miao
Comparison fields: 5 of 150
  • Molecular Biology 911
  • Cancer Research 655
  • Health Informatics 448
  • Artificial Intelligence 274
  • Pulmonary and Respiratory Medicine 194
Replace Reza Mirnezami with:
Reza Mirnezami United Kingdom
Yuqun Zeng China
Joseph Ahn United States
Giada Sebastiani Canada
Jeremy R. Glissen Brown United States
Per Sandström Sweden
QiPing Feng United States
Mamatha Bhat Canada
Jason H. Karnes United States
Kevin A. Buhr United States
Jing Miao relative to Reza Mirnezami United Kingdom Reza Mirnezami's profile →
Citations per field
00.5×12×
Reza Mirnezami · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 1
6 1
7 2
8 16
9 17
10 9
11 37
12 8
13 44
14 24
15 2
16 9
17 2
18 52
19 27
20 1

About Jing Miao

Jing Miao is a scholar working on Health Informatics, Nephrology and Transplantation, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (36 papers), Renal Diseases and Glomerulopathies (13 papers) and Machine Learning in Healthcare (10 papers). The work is most often cited by research in Health Informatics (448 citations), Cancer Research (655 citations) and Nephrology (187 citations). Jing Miao has collaborated with scholars based in United States, Thailand and China. Frequent 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. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

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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