Ya‐Yun Chen

1.2k citations
51 papers · 834 · h-index 17

Impact in

Papers in

Ya‐Yun Chen

48 papers receiving 823 citations

Peers

Ya‐Yun Chen
Comparison fields: 5 of 120
  • Horticulture 22
  • Behavioral Neuroscience 36
  • Biochemistry 75
  • Cognitive Neuroscience 168
  • Biological Psychiatry 18
Replace Sonal P. Sanghani with:
Sonal P. Sanghani United States
Valentin Lozanov Bulgaria
Hiroshi Nishida Japan
Mukul Jain India
Radu Lefter Romania
Germana Silva Vasconcelos Brazil
Cheryl Meng United States
A.P.M. Yusof Malaysia
Sergio Modafferi Italy
Ya‐Yun Chen relative to Sonal P. Sanghani United States Sonal P. Sanghani's profile →
Citations per field
00.5×4.0×
Sonal P. Sanghani · 1×
Citations per year

Countries citing papers authored by Ya‐Yun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Yun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Yun Chen. 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 Ya‐Yun Chen. The network helps show where Ya‐Yun Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Ya‐Yun Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ya‐Yun Chen Line = papers co-authored together Ya‐Yun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201772
3 202158
4 201753
5 201649
6 201746
7 201836
8 201834
9 201829
10 201727
11 202325
12 202219
13 201919
14 201919
15 201819
16 200418
17 201918
18 202116
19 201415
20 202315

About Ya‐Yun Chen

Ya‐Yun Chen is a scholar working on Molecular Biology, Cognitive Neuroscience, Immunology, Clinical Psychology and Biochemistry, having authored 51 papers that have together received 834 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Traditional and Medicinal Uses of Annonaceae (5 papers), Natural product bioactivities and synthesis (5 papers), Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (3 papers), interferon and immune responses (3 papers), Immune Response and Inflammation (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Horticulture (22 citations), Behavioral Neuroscience (36 citations), Biochemistry (75 citations), Cognitive Neuroscience (168 citations) and Biological Psychiatry (18 citations). Ya‐Yun Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Liangmei He, Xiang Li, Zhiping Liu, Jianwei Chen, Lin Lü, Yan-Xue Xue, Longhuo Wu, Jie Shi, Lin Wang and Tae‐Ho Lee. Their work appears in journals such as Developmental Cognitive Neuroscience, Frontiers in Neuroscience, Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Cellular and Molecular Life Sciences and Journal of Neuroscience.

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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