Luoyan Ai

35 total papers · 1.1k total citations
23 papers, 824 citations indexed

About

Luoyan Ai is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Luoyan Ai has authored 23 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Luoyan Ai's work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers) and Gut microbiota and health (3 papers). Luoyan Ai is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers) and Gut microbiota and health (3 papers). Luoyan Ai collaborates with scholars based in China, United States and Russia. Luoyan Ai's co-authors include Jie Xu, Antao Xu, Jing‐Yuan Fang, Zhaofei Chen, Jin Qian, Lunxi Liang, Yun Qian, Yingxuan Chen, Huimin Chen and Zhuping Fan and has published in prestigious journals such as Nature Communications, Cancer Research and Gut.

In The Last Decade

Luoyan Ai

21 papers receiving 813 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Roles of PD-1/PD-L1 Pathway: Signaling, Cancer, and Beyond

2020 356 citations Luoyan Ai, Antao Xu et al. Advances in experimental medicine and biology profile →

Author Peers

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

Author						Papers	Cites
Luoyan Ai	394	361	219	120	115	23	824
Victoria Klepsch	385 1.0×	332 0.9×	353 1.6×	83 0.7×	74 0.6×	22	924
Júlia Varga	532 1.4×	333 0.9×	132 0.6×	166 1.4×	109 0.9×	18	984
Hsiao‐Chi Tsai	562 1.4×	272 0.8×	186 0.8×	246 2.0×	125 1.1×	31	995
Huan Zhou	378 1.0×	277 0.8×	156 0.7×	226 1.9×	110 1.0×	26	706
Zhonghua Chu	457 1.2×	227 0.6×	206 0.9×	181 1.5×	69 0.6×	35	753
Seon-Ah Ha	449 1.1×	180 0.5×	304 1.4×	125 1.0×	64 0.6×	20	926
Martina Di Modica	574 1.5×	439 1.2×	245 1.1×	186 1.6×	89 0.8×	15	946
Zhiming Jin	420 1.1×	309 0.9×	91 0.4×	168 1.4×	153 1.3×	24	779
Krysta M. Coyle	463 1.2×	299 0.8×	246 1.1×	284 2.4×	64 0.6×	34	964
Masao Negishi	200 0.5×	277 0.8×	299 1.4×	53 0.4×	65 0.6×	44	935

Countries citing papers authored by Luoyan Ai

Since Specialization

Citations

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

Fields of papers citing papers by Luoyan Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luoyan Ai

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