Lan Jiang

1.6k total citations
51 papers, 1.2k citations indexed

About

Lan Jiang is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lan Jiang has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lan Jiang's work include Developmental Biology and Gene Regulation (10 papers), Protist diversity and phylogeny (5 papers) and Invertebrate Immune Response Mechanisms (5 papers). Lan Jiang is often cited by papers focused on Developmental Biology and Gene Regulation (10 papers), Protist diversity and phylogeny (5 papers) and Invertebrate Immune Response Mechanisms (5 papers). Lan Jiang collaborates with scholars based in United States, China and Netherlands. Lan Jiang's co-authors include Stephen T. Crews, Lijia An, Bo Jiang, Yuanyuan Tian, Jun Chen, Xinhui Kou, Li Zuo, Hagay Shemesh, P. R. Wesselink and Yonghua Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lan Jiang

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Jiang United States 22 481 242 117 104 102 51 1.2k
In‐Hwan Song South Korea 19 696 1.4× 45 0.2× 35 0.3× 201 1.9× 99 1.0× 57 1.5k
Xiaojing Zhu China 22 725 1.5× 45 0.2× 52 0.4× 27 0.3× 80 0.8× 62 1.3k
Hua Gao China 23 637 1.3× 36 0.1× 36 0.3× 70 0.7× 49 0.5× 102 1.5k
Yasuhiro Ohashi Japan 16 746 1.6× 47 0.2× 31 0.3× 186 1.8× 114 1.1× 37 1.5k
Hirofumi Koyama Japan 15 530 1.1× 35 0.1× 31 0.3× 39 0.4× 92 0.9× 54 905
Jaw‐Ji Yang Taiwan 18 424 0.9× 71 0.3× 15 0.1× 40 0.4× 44 0.4× 40 857
Hideki Shiratsuchi Japan 24 383 0.8× 80 0.3× 12 0.1× 86 0.8× 31 0.3× 78 1.8k
Janice Barnes United States 24 1.0k 2.2× 39 0.2× 37 0.3× 131 1.3× 63 0.6× 37 1.6k
Pascal Collin France 11 469 1.0× 68 0.3× 12 0.1× 78 0.8× 49 0.5× 14 1.3k
Shen-qiu Luo China 10 721 1.5× 32 0.1× 31 0.3× 79 0.8× 43 0.4× 29 1.2k

Countries citing papers authored by Lan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Jiang. A scholar is included among the top collaborators of Lan Jiang 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 Lan Jiang. Lan Jiang 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.
Wang, Jun, Lan Jiang, Feng Wang, et al.. (2025). Exposure and health risks of livestock air resistomes. Proceedings of the National Academy of Sciences. 122(18). e2403866122–e2403866122. 1 indexed citations
2.
Jiang, Lan, et al.. (2023). Digitalisation and commercial bank performance: A test of heterogeneity from Chinese commercial banks. Finance research letters. 58. 104303–104303. 17 indexed citations
3.
Wang, Qiang, Peng Xu, Felipe Andreazza, et al.. (2021). Identification of multiple odorant receptors essential for pyrethrum repellency in Drosophila melanogaster. PLoS Genetics. 17(7). e1009677–e1009677. 17 indexed citations
4.
Dou, Xiaodong, Lan Jiang, Hongwei Jin, et al.. (2020). Rational modification, synthesis and biological evaluation of 3,4-dihydroquinoxalin-2(1H)-one derivatives as potent and selective c-Jun N-terminal kinase 3 (JNK3) inhibitors. European Journal of Medicinal Chemistry. 201. 112445–112445. 20 indexed citations
5.
6.
Chandran, Rachana R., et al.. (2018). rebuff regulates apical luminal matrix to control tube size in Drosophila trachea. Biology Open. 7(9). 1 indexed citations
7.
Xu, Ying, et al.. (2018). Correlative factors for the location of tracheobronchial foreign bodies in infants and children. Journal of Thoracic Disease. 10(2). 1037–1042. 11 indexed citations
8.
Kou, Xinhui, Yonghua Yang, Xiaoxiao Jiang, et al.. (2017). Vorinostat and Simvastatin have synergistic effects on triple-negative breast cancer cells via abrogating Rab7 prenylation. European Journal of Pharmacology. 813. 161–171. 27 indexed citations
9.
Liu, Huijuan, Xiaoxiao Jiang, Yizhen Guo, et al.. (2017). The flavonoid TL-2-8 induces cell death and immature mitophagy in breast cancer cells via abrogating the function of the AHA1/Hsp90 complex. Acta Pharmacologica Sinica. 38(10). 1381–1393. 34 indexed citations
10.
Zhang, Mingming, Yu-Hong Liang, Xuejun Gao, et al.. (2015). Management of Apical Periodontitis: Healing of Post-treatment Periapical Lesions Present 1 Year after Endodontic Treatment. Journal of Endodontics. 41(7). 1020–1025. 36 indexed citations
11.
Chandran, Rachana R., et al.. (2014). The novel Smad protein Expansion regulates the receptor tyrosine kinase pathway to control Drosophila tracheal tube size. Developmental Biology. 393(1). 93–108. 8 indexed citations
12.
Chandran, Rachana R., et al.. (2014). Gene expression profiling of Drosophila tracheal fusion cells. Gene Expression Patterns. 15(2). 112–123. 8 indexed citations
13.
Jiang, Lan, et al.. (2014). Molecular characterization of redox mechanisms in allergic asthma. Annals of Allergy Asthma & Immunology. 113(2). 137–142. 76 indexed citations
14.
Zhang, Tianxiang, Zhe Wang, Lingxin Wang, et al.. (2013). Role of the DSC1 Channel in Regulating Neuronal Excitability in Drosophila melanogaster: Extending Nervous System Stability under Stress. PLoS Genetics. 9(3). e1003327–e1003327. 22 indexed citations
15.
Zuo, Li, et al.. (2013). Novel mechanisms of tube-size regulation revealed by the Drosophila trachea. Cell and Tissue Research. 354(2). 343–354. 18 indexed citations
16.
Chandran, Rachana R., et al.. (2011). RNAi Interference by dsRNA Injection into <em>Drosophila</em> Embryos. Journal of Visualized Experiments. 6 indexed citations
17.
Jiang, Lan, Joseph C. Pearson, & Stephen T. Crews. (2010). Diverse modes of Drosophila tracheal fusion cell transcriptional regulation. Mechanisms of Development. 127(5-6). 265–280. 15 indexed citations
18.
Jiang, Lan & Stephen T. Crews. (2007). Transcriptional Specificity of Drosophila Dysfusion and the Control of Tracheal Fusion Cell Gene Expression. Journal of Biological Chemistry. 282(39). 28659–28668. 22 indexed citations
19.
Jiang, Lan, Stephen L. Rogers, & Stephen T. Crews. (2007). The Drosophila Dead end Arf-like3 GTPase controls vesicle trafficking during tracheal fusion cell morphogenesis. Developmental Biology. 311(2). 487–499. 37 indexed citations
20.
Jiang, Lan & Stephen T. Crews. (2003). The Drosophila dysfusion Basic Helix-Loop-Helix (bHLH)–PAS Gene Controls Tracheal Fusion and Levels of the Trachealess bHLH-PAS Protein. Molecular and Cellular Biology. 23(16). 5625–5637. 53 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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