Meisi Yan

29 total papers · 2.0k total citations
21 papers, 1.2k citations indexed

About

Meisi Yan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Meisi Yan has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Meisi Yan's work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (4 papers). Meisi Yan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (4 papers). Meisi Yan collaborates with scholars based in China, United States and Taiwan. Meisi Yan's co-authors include Mien‐Chie Hung, Jennifer L. Hsu, Chao‐Kai Chou, Jung-Mao Hsu, Dihua Yu, Jun Yao, Heng‐Huan Lee, Gabriel N. Hortobágyi, Yongkun Wei and Jong‐Ho Cha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Meisi Yan

19 papers receiving 1.2k citations

Hit Papers

Galectin-9 interacts with... 2019 2026 2021 2023 2021 2019 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Meisi Yan 590 544 532 302 275 21 1.2k
Bernhard Reis 509 0.9× 509 0.9× 505 0.9× 282 0.9× 295 1.1× 25 1.2k
Felix Frenkel 431 0.7× 492 0.9× 373 0.7× 224 0.7× 275 1.0× 17 1000
Zemin Zhang 542 0.9× 589 1.1× 599 1.1× 294 1.0× 199 0.7× 23 1.2k
Sandra Pinton 682 1.2× 400 0.7× 403 0.8× 235 0.8× 229 0.8× 24 1.3k
Justin M. David 541 0.9× 765 1.4× 555 1.0× 210 0.7× 217 0.8× 29 1.4k
Zhi L. Teo 413 0.7× 709 1.3× 464 0.9× 274 0.9× 213 0.8× 18 1.2k
Qiang Zhang 387 0.7× 522 1.0× 459 0.9× 289 1.0× 200 0.7× 34 1.1k
David S.M. Lee 707 1.2× 663 1.2× 592 1.1× 413 1.4× 208 0.8× 11 1.5k
Zheng Lv 627 1.1× 528 1.0× 303 0.6× 496 1.6× 211 0.8× 31 1.3k
Tobias Anzeneder 624 1.1× 541 1.0× 345 0.6× 331 1.1× 129 0.5× 18 1.1k

Countries citing papers authored by Meisi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Meisi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meisi Yan

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