Yubin Shi

16 total papers · 1.4k total citations
11 papers, 1.1k citations indexed

About

Yubin Shi is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Yubin Shi has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Physiology. Recurrent topics in Yubin Shi's work include Signaling Pathways in Disease (2 papers), Adipose Tissue and Metabolism (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yubin Shi is often cited by papers focused on Signaling Pathways in Disease (2 papers), Adipose Tissue and Metabolism (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yubin Shi collaborates with scholars based in United States, Germany and China. Yubin Shi's co-authors include Geoffrey C. Gurtner, Edward I. Chang, Hariharan Thangarajah, Ivan N. Vial, Josemaria Paterno, Kirit A. Bhatt, Raymon H. Grogan, Robert D. Galiano, Shahram Aarabi and Dachun Yao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The FASEB Journal.

In The Last Decade

Yubin Shi

11 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Yubin Shi 480 309 248 213 172 11 1.1k
Marianne Madlener 579 1.2× 393 1.3× 167 0.7× 97 0.5× 89 0.5× 8 1.3k
Jon E. Mogford 375 0.8× 429 1.4× 172 0.7× 154 0.7× 81 0.5× 27 1.2k
Michael Dobryansky 501 1.0× 299 1.0× 362 1.5× 59 0.3× 116 0.7× 18 1.2k
Xiaodong Feng 507 1.1× 433 1.4× 207 0.8× 70 0.3× 89 0.5× 14 1.3k
J M Hefton 464 1.0× 244 0.8× 243 1.0× 154 0.7× 66 0.4× 15 1.0k
Adelheid Hainzl 337 0.7× 348 1.1× 146 0.6× 103 0.5× 94 0.5× 18 1.3k
Tatyana Yufit 607 1.3× 275 0.9× 283 1.1× 105 0.5× 159 0.9× 18 1.3k
Oren Z. Lerman 366 0.8× 233 0.8× 301 1.2× 79 0.4× 122 0.7× 24 947
Laura Ravanti 255 0.5× 469 1.5× 152 0.6× 69 0.3× 129 0.8× 16 1.5k
Yingbin Xu 475 1.0× 303 1.0× 207 0.8× 174 0.8× 71 0.4× 29 1.0k

Countries citing papers authored by Yubin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yubin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yubin Shi

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