Feng Han

1.3k citations
45 papers · 894 indexed · 1 hit paper · h-index 18
Topics
Neuroscience and Neuropharmacology Research (11 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
Journals
The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaScientific Reports
Partner nations
ChinaJapanUnited States

In The Last Decade

Feng Han

41 papers receiving 884 citations

Hit Papers

Signalling pathways in autism spectrum disorder: mechanis...202220262023202420224080120

Peers

Feng Han
Comparison fields: 5 of 105
  • Molecular Biology 429
  • Neurology 126
  • Cellular and Molecular Neuroscience 114
  • Epidemiology 114
  • Plant Science 111
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 Spain
Chiara Vantaggiato Italy
Kim Boddum Denmark
Feng Han relative to Yunkyung Hong South Korea Yunkyung Hong's profile →
Citations per field
00.5×6.2×
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-authorship network of co-authors of Feng Han

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Han. A scholar is included among the top collaborators of Feng Han 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 Feng Han. Feng Han 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 0
2 2
3 1
4 0
5 7
6 1
7 1
8 4
9 2
10 22
11 18
12 18
13 9
14 29
15 4
16 20
17 20
18
Introduction and Analysis of Guidance for Industry Bioequivalence Recommendations for Specific Products Issued by FDA
1
19 47
20 33

About Feng Han

Feng Han is a scholar working on Developmental Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, 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) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Neurology (126 citations) and Developmental Neuroscience (38 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 The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Scientific Reports.

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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