Jia Yan

1.2k total citations · 1 hit paper
28 papers, 792 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 28 papers receiving a total of 792 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 Substance Abuse Treatment and Outcomes (5 papers), Alcohol Consumption and Health Effects (5 papers) and BRCA gene mutations in cancer (3 papers). Jia Yan is often cited by papers focused on Substance Abuse Treatment and Outcomes (5 papers), Alcohol Consumption and Health Effects (5 papers) and BRCA gene mutations in cancer (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, Xiaofang Hu, Lidan Wang, Shukai Duan, Guangdong Zhou and Zhongrui Wang 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 779 citations

Hit Papers

Volatile and Nonvolatile Memristive Devices for Neuromorp... 2022 2026 2023 2024 2022 50 100 150

Peers

Jia Yan
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 268
  • Cellular and Molecular Neuroscience 161
  • Cognitive Neuroscience 106
  • Epidemiology 103
  • Materials Chemistry 102
Replace Magdalena Chmielowska with:
Magdalena Chmielowska Poland
Yu‐Chi Huang Taiwan
Wen‐Hao Chen China
Kazuhito Fukuda Japan
Yi‐Ting Lin Taiwan
Margaret Phillips United Kingdom
M. Yamanaka Japan
Hongliang Zhou China
Lindsay M. Parker Australia
Yu Mimura Japan
Magdalena Chmielowska Poland View profile →
Citations per field, relative to Jia Yan
Jia Yan · 1×
Citations per year, relative to Jia Yan
Jia Yan · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 1
5 6
6 0
7 6
8 0
9 3
10 3
11 4
12 4
13 101
14 51
15 43
16 111
17 12
18 117
19 19
20 0

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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