Jia Y. Wan

48 total papers · 1.4k total citations
25 papers, 445 citations indexed

About

Jia Y. Wan is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jia Y. Wan has authored 25 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Jia Y. Wan's work include Genetic Associations and Epidemiology (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Jia Y. Wan is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Jia Y. Wan collaborates with scholars based in United States, China and Hong Kong. Jia Y. Wan's co-authors include Karen L. Edwards, Karen Cerosaletti, Wei Shan, Heather Shilling, Jane H. Buckner, Megan Tatum, Carolyn M. Hutter, Stephanie A. Monks, Helen Kim and Liyong Huang and has published in prestigious journals such as Scientific Reports, Brain Research and Movement Disorders.

In The Last Decade

Jia Y. Wan

22 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Jia Y. Wan 113 111 96 91 71 25 445
Josephin Wagner 136 1.2× 54 0.5× 62 0.6× 108 1.2× 25 0.4× 23 447
Mikio Sagara 91 0.8× 53 0.5× 65 0.7× 57 0.6× 78 1.1× 21 432
Ko‐Chi Niu 112 1.0× 65 0.6× 48 0.5× 87 1.0× 65 0.9× 24 492
Xinjie Tan 112 1.0× 60 0.5× 43 0.4× 62 0.7× 19 0.3× 28 455
Elton Migliati 200 1.8× 68 0.6× 27 0.3× 43 0.5× 55 0.8× 18 450
Gabriel A. Aguirre 153 1.4× 50 0.5× 33 0.3× 38 0.4× 164 2.3× 19 492
Mariarita Arlotta 115 1.0× 61 0.5× 76 0.8× 14 0.2× 65 0.9× 16 494
Raquel López‐Díez 122 1.1× 31 0.3× 61 0.6× 33 0.4× 117 1.6× 15 429
Konstantinos I. Papadopoulos 72 0.6× 50 0.5× 34 0.4× 23 0.3× 55 0.8× 31 409
Leiting Xu 266 2.4× 78 0.7× 29 0.3× 32 0.4× 55 0.8× 19 469

Countries citing papers authored by Jia Y. Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jia Y. Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Y. Wan

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