Qun‐pei Yang

30 total papers · 1.3k total citations
22 papers, 670 citations indexed

About

Qun‐pei Yang is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Qun‐pei Yang has authored 22 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 14 papers in Oncology and 6 papers in Immunology. Recurrent topics in Qun‐pei Yang's work include Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (10 papers) and Immune Cell Function and Interaction (5 papers). Qun‐pei Yang is often cited by papers focused on Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (10 papers) and Immune Cell Function and Interaction (5 papers). Qun‐pei Yang collaborates with scholars based in China, United States and Denmark. Qun‐pei Yang's co-authors include Weiping Liu, Sha Zhao, Wenyan Zhang, Chengfeng Bi, Zhuo Zuo, Xiaoqing Wang, Wei-Ya Wang, Gan‐di Li, Jianbo Yu and Huan Xu and has published in prestigious journals such as Blood, Cancer and Human Pathology.

In The Last Decade

Qun‐pei Yang

20 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
Qun‐pei Yang	578	500	201	116	96	22	670
Tiffany Tang	499 0.9×	397 0.8×	209 1.0×	79 0.7×	78 0.8×	26	679
Won-Seog Kim	632 1.1×	482 1.0×	281 1.4×	102 0.9×	112 1.2×	37	781
Anne Y. Matsushima	225 0.4×	235 0.5×	247 1.2×	89 0.8×	96 1.0×	13	641
Tiffany Tang	412 0.7×	341 0.7×	186 0.9×	68 0.6×	97 1.0×	34	584
Alexandra Valera	436 0.8×	456 0.9×	70 0.3×	78 0.7×	187 1.9×	18	648
Alina Nicolae	377 0.7×	242 0.5×	146 0.7×	97 0.8×	104 1.1×	23	560
F Loong	385 0.7×	281 0.6×	153 0.8×	55 0.5×	69 0.7×	19	611
Xi-Wen Bi	352 0.6×	394 0.8×	199 1.0×	70 0.6×	62 0.6×	24	567
Manuela Zanni	636 1.1×	376 0.8×	144 0.7×	107 0.9×	178 1.9×	35	709
Talvalkar Gv	570 1.0×	269 0.5×	88 0.4×	112 1.0×	186 1.9×	26	734

Countries citing papers authored by Qun‐pei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Qun‐pei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qun‐pei Yang. 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 Qun‐pei Yang. The network helps show where Qun‐pei Yang may publish in the future.

Co-authorship network of co-authors of Qun‐pei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qun‐pei Yang. A scholar is included among the top collaborators of Qun‐pei Yang 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 Qun‐pei Yang. Qun‐pei Yang 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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