Ying Shi

74 total papers · 1.6k total citations
49 papers, 1.3k citations indexed

About

Ying Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Nephrology. According to data from OpenAlex, Ying Shi has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Nephrology. Recurrent topics in Ying Shi's work include Chronic Kidney Disease and Diabetes (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Ying Shi is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Ying Shi collaborates with scholars based in China, United States and Australia. Ying Shi's co-authors include Carol A. Pollock, Chunling Huang, Xinming Chen, Xingguo Gong, Chenhui Wang, Qinghua Cao, Avignat S. Patel, Juan C. Osorio, Iván O. Rosas and Danielle Morse and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ying Shi

44 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying Shi 567 217 168 167 149 49 1.3k
Songwei Yang 665 1.2× 179 0.8× 132 0.8× 87 0.5× 117 0.8× 42 1.3k
Yuqing Chen 581 1.0× 212 1.0× 121 0.7× 113 0.7× 152 1.0× 85 1.5k
Eon Sub Park 396 0.7× 137 0.6× 209 1.2× 207 1.2× 93 0.6× 65 1.4k
Maria Cekanova 560 1.0× 153 0.7× 144 0.9× 133 0.8× 167 1.1× 51 1.7k
Hyun-Ji Cho 575 1.0× 118 0.5× 145 0.9× 135 0.8× 186 1.2× 60 1.4k
Xiaoqi Yang 801 1.4× 210 1.0× 184 1.1× 176 1.1× 349 2.3× 69 1.4k
James A. Lin 490 0.9× 155 0.7× 180 1.1× 183 1.1× 160 1.1× 56 1.4k
Feng‐Ming Ho 699 1.2× 237 1.1× 214 1.3× 134 0.8× 140 0.9× 39 1.8k
Jie Xu 438 0.8× 205 0.9× 162 1.0× 207 1.2× 100 0.7× 57 1.3k
Kai Ren 766 1.4× 104 0.5× 167 1.0× 130 0.8× 162 1.1× 61 1.5k

Countries citing papers authored by Ying Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shi

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

All Works

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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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