Jing Ke

85 total papers · 1.1k total citations
58 papers, 841 citations indexed

About

Jing Ke is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jing Ke has authored 58 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jing Ke's work include Diabetes Treatment and Management (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Jing Ke is often cited by papers focused on Diabetes Treatment and Management (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Jing Ke collaborates with scholars based in China, United States and Egypt. Jing Ke's co-authors include Tianpei Hong, Dong Zhao, Rui Wei, Jin Yang, Ye Liu, Bin Cao, Dong Zhao, Guang Wang, Longyan Yang and Rongxin Sun and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Jing Ke

52 papers receiving 831 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Ke 374 309 171 136 128 58 841
Sung-Hee Ihm 364 1.0× 313 1.0× 249 1.5× 96 0.7× 102 0.8× 61 1.0k
Jiaqing Shao 249 0.7× 259 0.8× 167 1.0× 124 0.9× 113 0.9× 59 793
Yehong Yang 240 0.6× 349 1.1× 158 0.9× 136 1.0× 161 1.3× 60 948
Weihui Yu 397 1.1× 269 0.9× 225 1.3× 122 0.9× 103 0.8× 40 953
Richard Reneland 355 0.9× 206 0.7× 155 0.9× 172 1.3× 214 1.7× 29 929
Motoshi Ouchi 236 0.6× 263 0.9× 182 1.1× 82 0.6× 105 0.8× 58 836
Hiroshi Satonaka 507 1.4× 162 0.5× 159 0.9× 169 1.2× 178 1.4× 32 1.0k
Subhashini Yaturu 289 0.8× 312 1.0× 169 1.0× 149 1.1× 81 0.6× 34 974
Seung Ho Hong 235 0.6× 204 0.7× 243 1.4× 153 1.1× 204 1.6× 40 858
Amin Jayyousi 211 0.6× 385 1.2× 153 0.9× 149 1.1× 114 0.9× 58 930

Countries citing papers authored by Jing Ke

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Ke

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