Junhai Han

1.7k citations
59 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Junhai Han

57 papers receiving 1.1k citations

Peers

Junhai Han
Comparison fields: 5 of 89
  • Aging 75
  • Cellular and Molecular Neuroscience 506
  • Endocrine and Autonomic Systems 135
  • Cell Biology 163
  • Neurology 115
Replace Carol M. Singh with:
Carol M. Singh United States
Ken Dawson‐Scully United States
Subhabrata Sanyal United States
Gary A.B. Armstrong Canada
Amanda Charlesworth United States
Douglas W. Allan Canada
David Kapfhamer United States
Renate K. Hukema Netherlands
Zhengmei Mao United States
Oliver Hendrich Germany
Junhai Han relative to Carol M. Singh United States Carol M. Singh's profile →
Citations per field
00.5×
Carol M. Singh · 1×
Citations per year

Countries citing papers authored by Junhai Han

Since Specialization
Citations

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

Fields of papers citing papers by Junhai Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015148
2 201178
3 200661
4 201354
5 202138
6 201838
7 201537
8 201436
9 201735
10 201333
11 202131
12 201429
13 201127
14 201726
15 201725
16 200725
17 202123
18 201623
19 202219
20 201519

About Junhai Han

Junhai Han is a scholar working on Cellular and Molecular Neuroscience, Aging, Endocrine and Autonomic Systems, Cell Biology and Genetics, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (26 papers), Circadian rhythm and melatonin (11 papers), Cellular transport and secretion (11 papers), Genetics and Neurodevelopmental Disorders (9 papers), Receptor Mechanisms and Signaling (7 papers), Retinal Development and Disorders (7 papers), Invertebrate Immune Response Mechanisms (6 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Aging (75 citations), Cellular and Molecular Neuroscience (506 citations), Endocrine and Autonomic Systems (135 citations), Cell Biology (163 citations) and Neurology (115 citations). Junhai Han has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Zi Chao Zhang, Wei Xie, Yao Tian, Wen Hu, Yi Li, Huawei Tong, Guanglin Xing, Hongsheng Li, Zhengping Jia and Mingkuan Sun. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Human Molecular Genetics, Journal of Molecular Cell Biology and Protein Expression and Purification.

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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