Shaonin Ji

16 total papers · 665 total citations
14 papers, 564 citations indexed

About

Shaonin Ji is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shaonin Ji has authored 14 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shaonin Ji's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Shaonin Ji is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Shaonin Ji collaborates with scholars based in United States, Canada and South Korea. Shaonin Ji's co-authors include Joseph L. Messina, Stuart J. Frank, Philip A. Wood, Ran Guan, Leopoldo Raij, Ping Hua, Wenguang Feng, Edgar A. Jaimes, Trenton R. Schoeb and Yun You and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Physiology-Renal Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Shaonin Ji

14 papers receiving 550 citations

Author Peers

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

Author Last Decade Papers Cites
Shaonin Ji 293 129 122 62 58 14 564
Ramy R. Attia 289 1.0× 121 0.9× 148 1.2× 33 0.5× 65 1.1× 16 637
H Mochizuki 304 1.0× 137 1.1× 90 0.7× 162 2.6× 38 0.7× 15 563
Shuchita Tiwari 315 1.1× 63 0.5× 84 0.7× 50 0.8× 37 0.6× 18 616
Ann Tercyak 268 0.9× 98 0.8× 94 0.8× 26 0.4× 43 0.7× 12 672
Fabio Gianiorio 217 0.7× 94 0.7× 150 1.2× 94 1.5× 63 1.1× 10 696
Junna Yamaguchi 212 0.7× 136 1.1× 102 0.8× 30 0.5× 41 0.7× 16 618
T. Shirotani 315 1.1× 137 1.1× 161 1.3× 90 1.5× 97 1.7× 11 621
Mathias M. Mueller 166 0.6× 105 0.8× 93 0.8× 91 1.5× 33 0.6× 16 581
Petra Tollet 280 1.0× 229 1.8× 86 0.7× 24 0.4× 86 1.5× 15 551
E.H. Strisower 233 0.8× 193 1.5× 189 1.5× 92 1.5× 33 0.6× 20 655

Countries citing papers authored by Shaonin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shaonin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaonin Ji

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026