Chun Han

5.4k total citations · 1 hit paper
40 papers, 4.1k citations indexed

About

Chun Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Chun Han has authored 40 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Immunology. Recurrent topics in Chun Han's work include Neurobiology and Insect Physiology Research (11 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Invertebrate Immune Response Mechanisms (7 papers). Chun Han is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Invertebrate Immune Response Mechanisms (7 papers). Chun Han collaborates with scholars based in United States, China and Germany. Chun Han's co-authors include Xinhua Lin, Chunming Liu, Yiming Li, Zhuohua Zhang, Yi Tan, Mikhail A. Semenov, Xi He, Tatyana Y. Belenkaya, Lily Yeh Jan and Yuh Nung Jan and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chun Han

36 papers receiving 4.1k citations

Hit Papers

Control of β-Catenin Phosphorylation/Degradation by a Dua... 2002 2026 2010 2018 2002 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chun Han United States 22 3.1k 940 893 428 403 40 4.1k
William C. Skarnes United States 20 3.4k 1.1× 825 0.9× 1.4k 1.6× 919 2.1× 305 0.8× 29 4.9k
Xiaowei Lu United States 33 3.3k 1.1× 881 0.9× 831 0.9× 532 1.2× 301 0.7× 76 4.9k
Hyung Don Ryoo United States 34 3.1k 1.0× 1.5k 1.6× 657 0.7× 536 1.3× 639 1.6× 56 4.2k
Marc Therrien Canada 34 4.7k 1.5× 884 0.9× 643 0.7× 413 1.0× 466 1.2× 55 5.7k
David A. Wassarman United States 30 3.0k 1.0× 472 0.5× 549 0.6× 343 0.8× 503 1.2× 68 3.9k
Ira Daar United States 31 2.9k 0.9× 1.2k 1.2× 696 0.8× 554 1.3× 165 0.4× 79 3.9k
Cheng‐Ting Chien Taiwan 30 3.0k 1.0× 672 0.7× 617 0.7× 420 1.0× 192 0.5× 70 3.9k
Deborah L. Berry United States 22 2.2k 0.7× 590 0.6× 457 0.5× 344 0.8× 363 0.9× 51 3.8k
Thomas M. Wilkie United States 36 4.3k 1.4× 710 0.8× 1.0k 1.1× 778 1.8× 407 1.0× 67 5.6k
Hermann Aberle Germany 23 5.0k 1.6× 1.5k 1.6× 1.3k 1.5× 510 1.2× 458 1.1× 31 6.4k

Countries citing papers authored by Chun Han

Since Specialization
Citations

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

Fields of papers citing papers by Chun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Han. A scholar is included among the top collaborators of Chun 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 Chun Han. Chun 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
1.
Huang, Yi‐Chun, et al.. (2025). Polyploidy promotes transformation of epithelial cells into nonprofessional phagocytes. Proceedings of the National Academy of Sciences. 122(30). e2427293122–e2427293122.
2.
Wang, Bei, et al.. (2024). In vivo optogenetic manipulations of endogenous proteins reveal spatiotemporal roles of microtubule and kinesin in dendrite patterning. Science Advances. 10(35). eadp0138–eadp0138. 1 indexed citations
4.
Liang, Shichang, et al.. (2023). Is seeing always good? The influence of organic food packaging transparency on consumers' purchase intentions. International Journal of Food Science & Technology. 58(12). 6517–6529. 11 indexed citations
5.
Wang, Bei, et al.. (2023). A toolkit for converting Gal4 into LexA and Flippase transgenes in Drosophila. G3 Genes Genomes Genetics. 13(3). 5 indexed citations
6.
Schauer, E., et al.. (2023). Coordination of Pickpocket ion channel delivery and dendrite growth in Drosophila sensory neurons. PLoS Genetics. 19(11). e1011025–e1011025.
7.
Zhang, Zijing, et al.. (2021). Upgraded CRISPR/Cas9 tools for tissue-specific mutagenesis in Drosophila. Proceedings of the National Academy of Sciences. 118(14). 16 indexed citations
8.
Chen, Yang, Mary B. Gibbs, Chengyu Sheng, et al.. (2021). Brain-specific lipoprotein receptors interact with astrocyte derived apolipoprotein and mediate neuron-glia lipid shuttling. Nature Communications. 12(1). 2408–2408. 33 indexed citations
9.
Sapar, Maria L., Bei Wang, Amy R. Poe, et al.. (2018). Phosphatidylserine Externalization Results from and Causes Neurite Degeneration in Drosophila. Cell Reports. 24(9). 2273–2286. 79 indexed citations
10.
Poe, Amy R., Bei Wang, Maria L. Sapar, et al.. (2018). Robust CRISPR/Cas9-Mediated Tissue-Specific Mutagenesis Reveals Gene Redundancy and Perdurance inDrosophila. Genetics. 211(2). 459–472. 43 indexed citations
11.
Hu, Chun, Meike Petersen, Kathrin Sauter, et al.. (2018). Ret and Substrate-Derived TGF-β Maverick Regulate Space-Filling Dendrite Growth in Drosophila Sensory Neurons. Cell Reports. 24(9). 2261–2272.e5. 14 indexed citations
12.
Song, Yuanquan, David W. Sretavan, Ernesto A. Salegio, et al.. (2015). Regulation of axon regeneration by the RNA repair and splicing pathway. Nature Neuroscience. 18(6). 817–825. 41 indexed citations
13.
Yu, Dan, W. Clay Gustafson, Chun Han, et al.. (2014). An improved monomeric infrared fluorescent protein for neuronal and tumour brain imaging. Nature Communications. 5(1). 3626–3626. 140 indexed citations
14.
Han, Chun, Yuanquan Song, Hui Xiao, et al.. (2014). Epidermal Cells Are the Primary Phagocytes in the Fragmentation and Clearance of Degenerating Dendrites in Drosophila. Neuron. 81(3). 544–560. 112 indexed citations
15.
Peng, Ying, et al.. (2012). Planar Polarized Protrusions Break the Symmetry of EGFR Signaling during Drosophila Bract Cell Fate Induction. Developmental Cell. 23(3). 507–518. 28 indexed citations
16.
Han, Chun, Denan Wang, Peter Soba, et al.. (2012). Integrins Regulate Repulsion-Mediated Dendritic Patterning of Drosophila Sensory Neurons by Restricting Dendrites in a 2D Space. Neuron. 73(1). 64–78. 125 indexed citations
17.
Yuan, Quan, Yang Xiang, Zhiqiang Yan, et al.. (2011). Light-Induced Structural and Functional Plasticity in Drosophila Larval Visual System. Science. 333(6048). 1458–1462. 64 indexed citations
18.
Han, Chun, Tatyana Y. Belenkaya, Bei Wang, & Xinhua Lin. (2004). Drosophila glypicans control the cell-to-cell movement of Hedgehog by a dynamin-independent process. Development. 131(3). 601–611. 201 indexed citations
19.
Han, Chun. (2004). THE APPLICATION OF CAENORHABDITIS ELEGANS ON STUDY THE ANTIGEN OF PARASITICAL NEMATODES. 1 indexed citations
20.
Ran, Ruiqiong, Aigang Lu, Lu Zhang, et al.. (2004). Hsp70 promotes TNF-mediated apoptosis by binding IKKγ and impairing NF-κB survival signaling. Genes & Development. 18(12). 1466–1481. 206 indexed citations

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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