Jinying Zhao

5.0k citations
139 papers · 3.4k indexed · h-index 31
Topics
Epigenetics and DNA Methylation (17 papers)Metabolomics and Mass Spectrometry Studies (16 papers)Genetic Associations and Epidemiology (16 papers)

In The Last Decade

Jinying Zhao

131 papers receiving 3.4k citations

Peers

Jinying Zhao
Comparison fields: 5 of 150
  • Molecular Biology 1.6k
  • Physiology 801
  • Genetics 663
  • Cardiology and Cardiovascular Medicine 280
  • Public Health, Environmental and Occupational Health 275
Replace Gabi Kastenmüller with:
Gabi Kastenmüller Germany
Toshiko Tanaka United States
Beatrice Arosio Italy
Christian Gieger Germany
Federico Licastro Italy
Raymond Noordam Netherlands
Marcus Seldin United States
Francesca Ruggiero Italy
Morten Scheibye‐Knudsen Denmark
Gaetano Serviddio Italy
Jinying Zhao relative to Gabi Kastenmüller Germany Gabi Kastenmüller's profile →
Citations per field
00.5×1.5×
Gabi Kastenmüller · 1×
Citations per year

Countries citing papers authored by Jinying Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jinying Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinying Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinying Zhao. A scholar is included among the top collaborators of Jinying Zhao 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 Jinying Zhao. Jinying Zhao 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
#WorkIndexed citations
1 2
2 0
3 6
4 1
5 0
6 1
7 4
8 1
9 5
10 0
11 19
12 5
13 6
14 29
15 6
16 9
17 1
18 40
19 5
20
Haplotypes of Serotonin Transporter Gene Associated with Both Depressive Symptoms and Interleukin-6 in Middle-Aged Males: The Twins Heart Study
0

About Jinying Zhao

Jinying Zhao is a scholar working on Aging, Biological Psychiatry and Physiology, having authored 139 papers that have together received 3.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Metabolomics and Mass Spectrometry Studies (16 papers) and Genetic Associations and Epidemiology (16 papers). The work is most often cited by research in Biological Psychiatry (186 citations), Aging (127 citations) and Physiology (801 citations). Jinying Zhao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Momiao Xiong, Viola Vaccarino, Yun Zhu, Jack Goldberg, Jin Li, Eric Boerwinkle, J. Douglas Bremner, Xiangzhong Fang, Barbara V. Howard and Elisa T. Lee. Their work appears in journals such as Circulation, Nature Communications and Bioinformatics.

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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