Feng Han

1.3k citations
45 papers · 894 · 1 hit paper · h-index 18

Impact in

Papers in

Feng Han

41 papers receiving 884 citations

Feng Han's Hit Papers

Signalling pathways in autism spectrum disorder: mechanisms and therapeutic implications 2022 · 133 citations
1330+1+2Years since publication4080120

Peers

Feng Han
Comparison fields: 5 of 105
  • Biological Psychiatry 55
  • Neurology 126
  • Developmental Neuroscience 38
  • Cellular and Molecular Neuroscience 114
  • Molecular Biology 429
Replace Yunkyung Hong with:
Yunkyung Hong South Korea
Youngjeon Lee South Korea
Eun-Jeong Yang South Korea
Larisa Ryskalin Italy
Kazuhiro Tokuda Japan
Young‐Gil Jeong South Korea
Guo Zhang China
Paula Martínez United States
Chiara Vantaggiato Italy
Kim Boddum Denmark
Feng Han relative to Yunkyung Hong South Korea Yunkyung Hong's profile →
Citations per field
00.5×3.7×
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 →
2022133
2 2020130
3 201656
4 202053
5 201951
6 201547
7 201433
8 202029
9 202125
10 201523
11 200423
12 202123
13 202322
14 202022
15 201920
16 201820
17 202318
18 202318
19 201216
20 202415

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 894 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), Tryptophan and brain disorders (3 papers), Plant Stress Responses and Tolerance (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Neurology (126 citations), Developmental Neuroscience (38 citations), Cellular and Molecular Neuroscience (114 citations) and Molecular Biology (429 citations). Feng Han has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kohji Fukunaga, Ying‐Mei Lu, Sen Long, Xiaoyan Ke, Lishan Lin, Zheng‐Hong Qin, Zhong Chen, Bo Yang, Yuan‐Qing Jiang and Fangfang Niu. Their work appears in journals such as CNS Neuroscience & Therapeutics, Signal Transduction and Targeted Therapy, Autophagy, Neuroscience Bulletin and Redox Biology.

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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