Yunyi Hong

21 total papers · 560 total citations
14 papers, 419 citations indexed

About

Yunyi Hong is a scholar working on Geriatrics and Gerontology, Molecular Biology and Oncology. According to data from OpenAlex, Yunyi Hong has authored 14 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geriatrics and Gerontology, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Yunyi Hong's work include Sirtuins and Resveratrol in Medicine (9 papers), PARP inhibition in cancer therapy (5 papers) and Calcium signaling and nucleotide metabolism (4 papers). Yunyi Hong is often cited by papers focused on Sirtuins and Resveratrol in Medicine (9 papers), PARP inhibition in cancer therapy (5 papers) and Calcium signaling and nucleotide metabolism (4 papers). Yunyi Hong collaborates with scholars based in China and United States. Yunyi Hong's co-authors include Weihai Ying, Hui Nie, Heyu Chen, Weiliang Xia, Yingxin Ma, Caibin Sheng, Qing Wang, Xin He, Jin Han and Jie Zhang and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Neuroreport.

In The Last Decade

Yunyi Hong

14 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Yunyi Hong 195 169 113 98 71 14 419
Nina Klimova 152 0.8× 214 1.3× 78 0.7× 71 0.7× 51 0.7× 13 404
Daniel Stein 178 0.9× 296 1.8× 78 0.7× 61 0.6× 51 0.7× 17 487
Lucia Cialabrini 178 0.9× 202 1.2× 108 1.0× 102 1.0× 66 0.9× 8 486
Jingqi Yang 161 0.8× 207 1.2× 105 0.9× 48 0.5× 34 0.5× 12 428
Fanny Ng 150 0.8× 183 1.1× 138 1.2× 48 0.5× 26 0.4× 13 463
Brian H. White 118 0.6× 153 0.9× 88 0.8× 27 0.3× 89 1.3× 8 424
Lucia Polletta 175 0.9× 188 1.1× 176 1.6× 55 0.6× 35 0.5× 8 440
Jialin Shang 94 0.5× 222 1.3× 51 0.5× 48 0.5× 55 0.8× 12 389
John A. Stupinski 156 0.8× 206 1.2× 85 0.8× 26 0.3× 31 0.4× 10 469
Martina La Spina 127 0.7× 172 1.0× 75 0.7× 29 0.3× 20 0.3× 16 386

Countries citing papers authored by Yunyi Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yunyi Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunyi Hong

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