Xiaojie Qiu

19.3k total citations · 5 hit papers
23 papers, 8.2k citations indexed

About

Xiaojie Qiu is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Xiaojie Qiu has authored 23 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Biophysics. Recurrent topics in Xiaojie Qiu's work include Single-cell and spatial transcriptomics (12 papers), RNA Research and Splicing (7 papers) and Gene Regulatory Network Analysis (5 papers). Xiaojie Qiu is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), RNA Research and Splicing (7 papers) and Gene Regulatory Network Analysis (5 papers). Xiaojie Qiu collaborates with scholars based in United States, China and Germany. Xiaojie Qiu's co-authors include Cole Trapnell, Hannah A. Pliner, Qi Mao, Andrew J. Hill, Raghav Chawla, Ying Tang, Li Wang, Jay Shendure, Frank J. Steemers and Jonathan S. Packer and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaojie Qiu

22 papers receiving 8.1k citations

Hit Papers

Reversed graph embedding ... 2017 2026 2020 2023 2017 2019 2017 2017 2018 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojie Qiu United States 16 5.8k 2.0k 1.3k 1.0k 592 23 8.2k
William M. Mauck United States 17 6.1k 1.0× 2.8k 1.4× 1.3k 1.0× 1.3k 1.3× 528 0.9× 24 9.5k
Jean Fan United States 19 4.7k 0.8× 1.7k 0.8× 1.2k 0.9× 1.3k 1.3× 480 0.8× 73 7.0k
Yuhan Hao United States 19 6.3k 1.1× 3.0k 1.5× 1.5k 1.1× 1.5k 1.4× 560 0.9× 38 10.4k
Shuqiang Li United States 21 4.4k 0.8× 1.5k 0.7× 1.4k 1.0× 852 0.8× 411 0.7× 44 6.1k
Hannah A. Pliner United States 13 5.1k 0.9× 1.3k 0.7× 1.2k 0.9× 671 0.7× 622 1.1× 14 6.3k
Andrew J. Hill United States 11 4.7k 0.8× 1.2k 0.6× 1.7k 1.2× 827 0.8× 408 0.7× 13 6.3k
Itay Tirosh Israel 34 8.0k 1.4× 1.8k 0.9× 2.2k 1.6× 1.9k 1.8× 600 1.0× 65 10.7k
Tim Stuart United States 14 7.4k 1.3× 3.2k 1.6× 1.7k 1.2× 1.5k 1.4× 726 1.2× 18 11.4k
Gert Hulselmans Belgium 22 4.4k 0.8× 1.7k 0.8× 1.0k 0.8× 1.0k 1.0× 232 0.4× 30 6.3k
Marlon Stoeckius United States 18 7.9k 1.3× 3.5k 1.7× 1.8k 1.3× 1.6k 1.6× 802 1.4× 22 11.7k

Countries citing papers authored by Xiaojie Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojie Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojie Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojie Qiu. A scholar is included among the top collaborators of Xiaojie Qiu 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 Xiaojie Qiu. Xiaojie Qiu 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.
Qiu, Xiaojie, et al.. (2024). Identification and function analysis of Toll–like receptor 4 (TLR4) from Manila clam (Ruditapes philippinarum). International Journal of Biological Macromolecules. 290. 139000–139000. 2 indexed citations
2.
Qiu, Xiaojie, et al.. (2024). Storm: Incorporating transient stochastic dynamics to infer the RNA velocity with metabolic labeling information. PLoS Computational Biology. 20(11). e1012606–e1012606.
3.
Sunshine, Sara, Andreas S. Puschnik, Joseph M. Replogle, et al.. (2023). Systematic functional interrogation of SARS-CoV-2 host factors using Perturb-seq. Nature Communications. 14(1). 6245–6245. 12 indexed citations
4.
Zhang, Dongrui, Xun Tang, Ling‐Ling Chen, et al.. (2023). Functional characterization and transcriptional activity analysis of Dryopteris fragrans farnesyl diphosphate synthase genes. Frontiers in Plant Science. 14. 1105240–1105240. 7 indexed citations
5.
Ren, Jingyi, Haowen Zhou, Hu Zeng, et al.. (2023). Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetic landscape. Nature Methods. 20(5). 695–705. 37 indexed citations
6.
Gupta, Anika, Jorge D. Martin-Rufino, Thouis R. Jones, et al.. (2022). Inferring gene regulation from stochastic transcriptional variation across single cells at steady state. Proceedings of the National Academy of Sciences. 119(34). e2207392119–e2207392119. 18 indexed citations
7.
Xuan, Lihui, et al.. (2022). Albicanol modulates oxidative stress and the p53 axis to suppress profenofos induced genotoxicity in grass carp hepatocytes. Fish & Shellfish Immunology. 122. 325–333. 14 indexed citations
8.
Qiu, Qi, Peng Hu, Xiaojie Qiu, et al.. (2020). Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq. Nature Methods. 17(10). 991–1001. 97 indexed citations
9.
Saunders, Lauren M., Andrew J. Aman, Victor M. Lewis, et al.. (2019). Thyroid hormone regulates distinct paths to maturation in pigment cell lineages. eLife. 8. 107 indexed citations
10.
Cao, Junyue, Malte Spielmann, Xiaojie Qiu, et al.. (2019). The single-cell transcriptional landscape of mammalian organogenesis. Nature. 566(7745). 496–502. 2172 indexed citations breakdown →
11.
Cacchiarelli, Davide, Xiaojie Qiu, Sanjay Srivatsan, et al.. (2018). Aligning Single-Cell Developmental and Reprogramming Trajectories Identifies Molecular Determinants of Myogenic Reprogramming Outcome. Cell Systems. 7(3). 258–268.e3. 47 indexed citations
12.
Pliner, Hannah A., Jonathan S. Packer, José L. McFaline‐Figueroa, et al.. (2018). Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data. Molecular Cell. 71(5). 858–871.e8. 413 indexed citations breakdown →
13.
Cao, Junyue, Jonathan S. Packer, Vijay Ramani, et al.. (2017). Comprehensive single-cell transcriptional profiling of a multicellular organism. Science. 357(6352). 661–667. 896 indexed citations breakdown →
14.
Qiu, Xiaojie, Qi Mao, Ying Tang, et al.. (2017). Reversed graph embedding resolves complex single-cell trajectories. Nature Methods. 14(10). 979–982. 2596 indexed citations breakdown →
15.
Qiu, Xiaojie, Andrew J. Hill, Jonathan S. Packer, et al.. (2017). Single-cell mRNA quantification and differential analysis with Census. Nature Methods. 14(3). 309–315. 1069 indexed citations breakdown →
16.
Hanchate, Naresh K., Kunio Kondoh, Zhonghua Lu, et al.. (2015). Single-cell transcriptomics reveals receptor transformations during olfactory neurogenesis. Science. 350(6265). 1251–1255. 159 indexed citations
17.
Chen, Naisong, et al.. (2012). Effects of dietary arginine levels and carbohydrate-to-lipid ratios on mRNA expression of growth-related hormones in largemouth bass, Micropterus salmoides. General and Comparative Endocrinology. 179(1). 121–127. 45 indexed citations
19.
Wang, Jigang, Xiaojie Qiu, Yuhua Li, Youping Deng, & Tieliu Shi. (2011). A transcriptional dynamic network during Arabidopsis thaliana pollen development. BMC Systems Biology. 5(S3). S8–S8. 15 indexed citations
20.
Qiu, Xiaojie. (2010). Effects of fasting on growth and expression abundance of IGF-I mRNA in largemouth bass (Micropterus salmoides). Journal of Fishery Sciences of China. 1 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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