Hang Yan

39 total papers · 994 total citations
28 papers, 643 citations indexed

About

Hang Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hang Yan has authored 28 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Hang Yan's work include Gut microbiota and health (6 papers), Diet and metabolism studies (4 papers) and Ginseng Biological Effects and Applications (3 papers). Hang Yan is often cited by papers focused on Gut microbiota and health (6 papers), Diet and metabolism studies (4 papers) and Ginseng Biological Effects and Applications (3 papers). Hang Yan collaborates with scholars based in China, Canada and Germany. Hang Yan's co-authors include Suying Ding, Ang Li, Xinxin Gao, Tiantian Li, Haining Zhou, Chao Qin, Qian Qin, Shoujun Tang, Haiyang Hu and Shengjie Tang and has published in prestigious journals such as Cancer Research, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Hang Yan

25 papers receiving 637 citations

Hit Papers

Immune Checkpoint Inhibit... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Hang Yan 371 151 113 112 80 28 643
Lydia Brandl 368 1.0× 217 1.4× 110 1.0× 80 0.7× 85 1.1× 20 621
David Burnett 325 0.9× 103 0.7× 71 0.6× 53 0.5× 64 0.8× 34 725
Xiaoyue Jia 472 1.3× 158 1.0× 70 0.6× 83 0.7× 45 0.6× 31 792
Jin Zhang 273 0.7× 153 1.0× 77 0.7× 87 0.8× 41 0.5× 32 651
Huan Wang 276 0.7× 140 0.9× 71 0.6× 168 1.5× 63 0.8× 35 660
Chang‐Han Chen 319 0.9× 137 0.9× 62 0.5× 99 0.9× 61 0.8× 37 631
Juanjuan Qiu 382 1.0× 121 0.8× 80 0.7× 48 0.4× 57 0.7× 35 652
Hailong Cao 519 1.4× 210 1.4× 82 0.7× 116 1.0× 76 0.9× 18 753
Zhiyu Zhang 341 0.9× 94 0.6× 84 0.7× 214 1.9× 43 0.5× 40 664
Takashi Iwamoto 337 0.9× 180 1.2× 88 0.8× 82 0.7× 69 0.9× 38 740

Countries citing papers authored by Hang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yan

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