Jia Yan

55 total papers · 1.2k total citations
27 papers, 783 citations indexed

About

Jia Yan is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Jia Yan has authored 27 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Jia Yan's work include Alcohol Consumption and Health Effects (5 papers), Substance Abuse Treatment and Outcomes (5 papers) and Advanced Memory and Neural Computing (3 papers). Jia Yan is often cited by papers focused on Alcohol Consumption and Health Effects (5 papers), Substance Abuse Treatment and Outcomes (5 papers) and Advanced Memory and Neural Computing (3 papers). Jia Yan collaborates with scholars based in United States, China and Australia. Jia Yan's co-authors include Melanie L. Schwandt, Colin A. Hodgkinson, Vijay A. Ramchandani, Jie Li, David Goldman, Guangdong Zhou, Lidan Wang, Huamin Wang, Danielle M. Dick and Xiaofang Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Journal of Abnormal Psychology.

In The Last Decade

Jia Yan

23 papers receiving 770 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.

Volatile and Nonvolatile Memristive Devices for Neuromorphic Computing

2022 169 citations Guangdong Zhou, Zhongrui Wang et al. Advanced Electronic Materials profile →

Author Peers

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

Author						Papers	Cites
Jia Yan	264	161	105	103	101	27	783
Qigang Zhou	122 0.5×	142 0.9×	70 0.7×	21 0.2×	72 0.7×	33	842
Magdalena Chmielowska	127 0.5×	82 0.5×	94 0.9×	82 0.8×	45 0.4×	61	822
M. Yamanaka	281 1.1×	130 0.8×	26 0.2×	35 0.3×	52 0.5×	24	659
Amina S. Khan	235 0.9×	400 2.5×	156 1.5×	161 1.6×	34 0.3×	13	889
Christopher Stock	188 0.7×	147 0.9×	45 0.4×	98 1.0×	408 4.0×	27	875
Li Duan	96 0.4×	154 1.0×	76 0.7×	25 0.2×	13 0.1×	47	670
Yoshinori Yamakawa	57 0.2×	146 0.9×	133 1.3×	22 0.2×	68 0.7×	57	831
Anna Larsson	61 0.2×	405 2.5×	58 0.6×	30 0.3×	19 0.2×	20	905
Junhua Yang	118 0.4×	91 0.6×	45 0.4×	34 0.3×	50 0.5×	42	749
Qiang Wang	89 0.3×	63 0.4×	235 2.2×	49 0.5×	12 0.1×	47	700

Countries citing papers authored by Jia Yan

Since Specialization

Citations

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

Fields of papers citing papers by Jia Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Yan

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