Lan Jiang

7.7k total citations · 4 hit papers
108 papers, 5.0k citations indexed

About

Lan Jiang is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lan Jiang has authored 108 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lan Jiang's work include Single-cell and spatial transcriptomics (9 papers), MRI in cancer diagnosis (8 papers) and MicroRNA in disease regulation (8 papers). Lan Jiang is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), MRI in cancer diagnosis (8 papers) and MicroRNA in disease regulation (8 papers). Lan Jiang collaborates with scholars based in China, United States and Australia. Lan Jiang's co-authors include Yi Zhang, Falong Lu, Xiaoji Wu, Renchao Chen, Ralph P. Mason, Azusa Inoue, Dawen Zhao, Tsukasa Suzuki, Hubing Shi and Guo‐Cheng Yuan and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Lan Jiang

105 papers receiving 4.9k citations

Hit Papers

Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity 2017 2026 2020 2023 2017 2019 2017 2024 100 200 300 400

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 China 33 2.8k 618 581 567 488 108 5.0k
Chiara Romualdi Italy 47 3.6k 1.3× 1.4k 2.2× 678 1.2× 536 0.9× 466 1.0× 164 7.1k
Fei Liu China 37 2.8k 1.0× 1.4k 2.3× 369 0.6× 518 0.9× 404 0.8× 222 5.2k
Colin Clarke Ireland 27 3.4k 1.2× 485 0.8× 625 1.1× 442 0.8× 434 0.9× 64 5.9k
Nan Hu China 40 2.8k 1.0× 825 1.3× 595 1.0× 363 0.6× 617 1.3× 199 6.1k
Mari Cleide Sogayar Brazil 39 2.4k 0.8× 688 1.1× 592 1.0× 611 1.1× 558 1.1× 175 5.1k
Kouichi Ozaki Japan 36 2.5k 0.9× 904 1.5× 388 0.7× 1.0k 1.8× 682 1.4× 118 5.0k
Gwang Lee South Korea 49 5.2k 1.9× 648 1.0× 418 0.7× 624 1.1× 608 1.2× 159 8.7k
Attila Csordás United Kingdom 17 4.0k 1.4× 367 0.6× 430 0.7× 496 0.9× 543 1.1× 24 6.3k
Ying Jin China 47 5.4k 1.9× 885 1.4× 532 0.9× 728 1.3× 428 0.9× 227 7.5k

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.
Ouyang, Ruizhuo, Yuanhui Ma, Lan Jiang, et al.. (2025). Cocatalysis of catalytic hairpin assembly and ternary heterojunction Bi2S3@MoS2@Bi2MoO6 promotes ultra-sensitive electrochemical of detection MiRNA-21. Microchimica Acta. 192(2). 115–115. 4 indexed citations
2.
Li, Yun, et al.. (2024). Single‐Cell Chromatin Accessibility Analysis Reveals Subgroup‐Specific TF‐NTR Regulatory Circuits in Medulloblastoma. Advanced Science. 11(30). e2309554–e2309554. 4 indexed citations
3.
Kong, Xiang, Shujun Wan, Lan Jiang, et al.. (2024). Increased serum extrachromosomal circular DNA SORBS1circle level is associated with insulin resistance in patients with newly diagnosed type 2 diabetes mellitus. Cellular & Molecular Biology Letters. 29(1). 12–12. 11 indexed citations
5.
Li, Yun, Zhaojun Zhang, Qifei Wang, et al.. (2023). FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing. Genome biology. 24(1). 70–70. 12 indexed citations
6.
Jiang, Lan, et al.. (2023). Spectrum-effect relationship between UPLC fingerprints and melanogenic effect of Ruta graveolens L. Journal of Chromatography B. 1221. 123683–123683. 5 indexed citations
7.
Ouyang, Ruizhuo, Jinyao Liu, Yuhao Li, et al.. (2023). Pt Nanodot Inlaid Mesoporous NaBiOF Nanoblackberry for Remarkable Signal Amplification Toward Biomarker Detection. Microchimica Acta. 190(6). 214–214. 6 indexed citations
8.
Jiang, Lan, et al.. (2021). The progress inC9orf72research: ALS/FTD pathogenesis, functions and structure. Small GTPases. 13(1). 56–76. 7 indexed citations
9.
Jiang, Lan, et al.. (2021). Identification and expression analysis of lncRNA in seven organs of Rhinopithecus roxellana. Functional & Integrative Genomics. 21(5-6). 543–555. 3 indexed citations
10.
Tang, Dan, Xiechao Zhan, Xiaoyu Liu, et al.. (2020). Cryo-EM structure of C9ORF72–SMCR8–WDR41 reveals the role as a GAP for Rab8a and Rab11a. Proceedings of the National Academy of Sciences. 117(18). 9876–9883. 51 indexed citations
11.
Ma, Linlin, et al.. (2020). Construction and Comprehensive Analysis of a ceRNA Network to Reveal Potential Novel Biomarkers for Triple-Negative Breast Cancer. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Xu, Ying, et al.. (2018). Analysis of Related Factors for the Retention Time of Tracheobronchial Foreign Bodies in Pediatrics. Journal of Surgical Research. 233. 262–267. 5 indexed citations
13.
Liang, Weixiang, et al.. (2018). The differential diagnosis of ultrasonic imaging by automated breast volume scanning in breast cancer. European Journal of Gynaecological Oncology. 39(4). 548–553. 2 indexed citations
14.
Zhou, Li, Yongyong Feng, Fang Wang, et al.. (2018). Generation of all-male-like sterile zebrafish by eliminating primordial germ cells at early development. Scientific Reports. 8(1). 1834–1834. 21 indexed citations
15.
Inoue, Azusa, Lan Jiang, Falong Lu, & Yi Zhang. (2017). Genomic imprinting of Xist by maternal H3K27me3. Genes & Development. 31(19). 1927–1932. 105 indexed citations
16.
Dou, Qianhui, Hai‐Ning Chen, Kui Wang, et al.. (2016). Ivermectin Induces Cytostatic Autophagy by Blocking the PAK1/Akt Axis in Breast Cancer. Cancer Research. 76(15). 4457–4469. 191 indexed citations
17.
Liu, Rui, Jingyi Li, Tao Zhang, et al.. (2014). Itraconazole suppresses the growth of glioblastoma through induction of autophagy. Autophagy. 10(7). 1241–1255. 151 indexed citations
18.
Zhang, Hua, et al.. (2014). Detection of cow milk adulteration in yak milk by ELISA. Journal of Dairy Science. 97(10). 6000–6006. 36 indexed citations
19.
Jiang, Lan. (2009). The Forecast Model of Gross Industrial Output Value Based on Artificial Neural Networks. 1 indexed citations
20.
Zhao, Dawen, Lan Jiang, & Ralph P. Mason. (2004). Measuring Changes in Tumor Oxygenation. Methods in enzymology on CD-ROM/Methods in enzymology. 386. 378–418. 85 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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