Yunling Shi

46 total papers · 2.7k total citations
8 papers, 989 citations indexed

About

Yunling Shi is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yunling Shi has authored 8 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yunling Shi's work include Ethics in Clinical Research (2 papers), MicroRNA in disease regulation (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). Yunling Shi is often cited by papers focused on Ethics in Clinical Research (2 papers), MicroRNA in disease regulation (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). Yunling Shi collaborates with scholars based in United States, United Kingdom and Denmark. Yunling Shi's co-authors include David Brown, Kevin Kelnar, John Cogswell, Allen D. Roses, Rab K. Prinjha, Ian A. Taylor, Cynthia A. Richards, Ann M. Saunders, Jon Kemppainen and Jill Richardson and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Yunling Shi

7 papers receiving 973 citations

Hit Papers

Identification of miRNA C... 2008 2026 2014 2020 2008 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Yunling Shi 632 576 164 111 87 8 989
Sune Skeldal 371 0.6× 163 0.3× 114 0.7× 37 0.3× 23 0.3× 21 831
Dong-Kyu Park 380 0.6× 90 0.2× 203 1.2× 17 0.2× 136 1.6× 16 1.1k
Christoph M. Zehendner 557 0.9× 237 0.4× 79 0.5× 8 0.1× 316 3.6× 22 1.1k
Francesco Paonessa 583 0.9× 218 0.4× 132 0.8× 6 0.1× 33 0.4× 18 864
Julie C. Friedland 538 0.9× 77 0.1× 65 0.4× 15 0.1× 17 0.2× 11 1.2k
Urs H. Langen 579 0.9× 134 0.2× 107 0.7× 4 0.0× 229 2.6× 6 1.2k
Jae-Jun Ban 631 1.0× 342 0.6× 76 0.5× 3 0.0× 54 0.6× 20 953
Eng‐Ang Ling 345 0.5× 76 0.1× 158 1.0× 6 0.1× 214 2.5× 15 983
Caitlyn C. Gertz 527 0.8× 302 0.5× 22 0.1× 9 0.1× 40 0.5× 13 940
Sung-Ung Kang 580 0.9× 38 0.1× 198 1.2× 25 0.2× 157 1.8× 22 1.1k

Countries citing papers authored by Yunling Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yunling Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunling Shi

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