Feng Han

1.4k citations
45 papers · 972 · 1 hit paper · h-index 18

Impact in

Papers in

Feng Han

44 papers receiving 961 citations

Feng Han's Hit Papers

Signalling pathways in autism spectrum disorder: mechanisms and therapeutic implications 2022 · 149 citations
1490+1+2Years since publication4080120

Peers

Feng Han
Comparison fields: 5 of 102
  • Biological Psychiatry 47
  • Neurology 115
  • Developmental Neuroscience 33
  • Molecular Biology 412
  • Cellular and Molecular Neuroscience 107
Replace Yunkyung Hong with:
Yunkyung Hong South Korea
Eun-Jeong Yang South Korea
Karen Doyle Ireland
Weina Ju United States
Kim Boddum Denmark
Xiao Deng Singapore
Young‐Gil Jeong South Korea
Eng-King Tan Singapore
Kazuhiro Tokuda Japan
Feng Han relative to Yunkyung Hong South Korea Yunkyung Hong's profile →
Citations per field
00.5×4.3×
Yunkyung Hong · 1×
Citations per year

Countries citing papers authored by Feng Han

Since Specialization
Citations

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

Fields of papers citing papers by Feng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Han, 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 Feng Han Line = papers co-authored together Feng Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signalling pathways in autism spectrum disorder: mechanisms and therapeutic implications
Hit paper breakdown →
2022149
2 2020138
3 202059
4 201659
5 201955
6 201547
7 201434
8 202030
9 202327
10 202126
11 202023
12 201523
13 202123
14 200423
15 202323
16 201922
17 202321
18 201820
19 201217
20 202315

About Feng Han

Feng Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Immunology, having authored 45 papers that have together received 972 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Plant Gene Expression Analysis (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ubiquitin and proteasome pathways (3 papers), Epilepsy research and treatment (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Neurology (115 citations), Developmental Neuroscience (33 citations), Molecular Biology (412 citations) and Cellular and Molecular Neuroscience (107 citations). Feng Han has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ying‐Mei Lu, Kohji Fukunaga, Sen Long, Xiaoyan Ke, Lishan Lin, Zhong Chen, Zheng‐Hong Qin, Yuan‐Qing Jiang, Bo Yang and Fangfang Niu. Their work appears in journals such as Signal Transduction and Targeted Therapy, CNS Neuroscience & Therapeutics, Redox Biology, Autophagy and Neuroscience Bulletin.

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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