Yanli Jia

543 total citations
43 papers, 418 citations indexed

About

Yanli Jia is a scholar working on Molecular Biology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Yanli Jia has authored 43 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Psychiatry and Mental health and 10 papers in Cognitive Neuroscience. Recurrent topics in Yanli Jia's work include Dementia and Cognitive Impairment Research (5 papers), Bipolar Disorder and Treatment (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Yanli Jia is often cited by papers focused on Dementia and Cognitive Impairment Research (5 papers), Bipolar Disorder and Treatment (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Yanli Jia collaborates with scholars based in China, Norway and United States. Yanli Jia's co-authors include Zhong‐Qin Liang, Zheng‐Hong Qin, Jun Li, Bo Gao, Yaping Yang, Tingting Li, Wei Wang, Chu Wang, Lei Yang and Jiangtao Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Biochemical and Biophysical Research Communications.

In The Last Decade

Yanli Jia

37 papers receiving 405 citations

Peers

Yanli Jia
Comparison fields: 5 of 89
  • Molecular Biology 214
  • Epidemiology 86
  • Cancer Research 51
  • Cognitive Neuroscience 42
  • Neurology 40
Replace Qing Ye with:
Qing Ye China
Ivi Juliana Bristot Brazil
Zhigang Chu China
Xuejing Lin China
Li Wan China
Zhengzhong Yuan China
Fernanda Rafaela Jardim Brazil
Xiaojie Zhao China
Giovanni Schepici Italy
Masaya Nakashima Japan
Qing Ye China View profile →
Citations per field, relative to Yanli Jia
Yanli Jia · 1×
Citations per year, relative to Yanli Jia
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Countries citing papers authored by Yanli Jia

Since Specialization
Citations

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

Fields of papers citing papers by Yanli Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanli Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Yanli Jia. A scholar is included among the top collaborators of Yanli Jia 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 Yanli Jia. Yanli Jia 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 4
2 11
3 6
4 23
5 12
6 0
7 9
8 2
9 2
10 6
11 10
12 5
13 3
14 5
15 1
16 13
17 21
18 1
19
Location of a pear dwarf gene pcDw by SSR marker
1
20 47

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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