Xiaotao Shen

3.5k total citations · 1 hit paper
36 papers, 2.1k citations indexed

About

Xiaotao Shen is a scholar working on Molecular Biology, Surgery and Spectroscopy. According to data from OpenAlex, Xiaotao Shen has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Spectroscopy. Recurrent topics in Xiaotao Shen's work include Metabolomics and Mass Spectrometry Studies (19 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Xiaotao Shen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (19 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Xiaotao Shen collaborates with scholars based in China, United States and Singapore. Xiaotao Shen's co-authors include Zheng‐Jiang Zhu, Jia Tu, Zhiwei Zhou, Xin Xiong, M Snyder, Yuping Cai, Tao Zhang, Fuzhong Xue, Xiaoyun Gong and Chuchu Wang and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Xiaotao Shen

34 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nonlinear dynamics of multi-omics profiles during human aging

2024 141 citations Xiaotao Shen, Chuchu Wang et al. Nature Aging profile →

Peers

Xiaotao Shen

MB

SPECT

PHYSI

BE

SURGE

Carlos Guijas Spain

Stacey N. Reinke Australia

Michał Ciborowski Poland

Joana Pinto Portugal

Jun Xiao China

Jennifer Kirwan Germany

Megan R. Showalter United States

J. Rafael Montenegro-Burke United States

Perrine Masson United Kingdom

Stacy D. Sherrod United States

Carlos Guijas Spain

Xiaotao Shen

1.7k ×1.3

MB

485 ×1.2

SPECT

268 ×1.1

PHYSI

223 ×1.5

BE

136 ×1.0

SURGE

Citations per year, relative to Xiaotao Shen Xiaotao Shen (= 1×) peers Carlos Guijas

Countries citing papers authored by Xiaotao Shen

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotao Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotao Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotao Shen. A scholar is included among the top collaborators of Xiaotao Shen 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 Xiaotao Shen. Xiaotao Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Du, Zijing, et al.. (2025). Application of Wearable Devices in Diabetes Management. 7–7. 5 indexed citations

2.

Zhang, Feifan, et al.. (2025). Application of LLMs/Transformer-Based Models for Metabolite Annotation in Metabolomics. 7–7.

3.

Zhang, Nana, Xiaotao Shen, Xidong Jiao, et al.. (2025). Food recommendation towards personalized wellbeing. Trends in Food Science & Technology. 156. 104877–104877. 5 indexed citations

4.

Shen, Xiaotao, Chuchu Wang, Xin Zhou, et al.. (2024). Nonlinear dynamics of multi-omics profiles during human aging. Nature Aging. 4(11). 1619–1634. 141 indexed citations breakdown →

5.

Shen, Xiaotao, Yee Hui Yeo, Joseph E. Ebinger, et al.. (2024). Exploring the underlying molecular mechanisms of acute myocardial infarction after SARS-CoV-2 infection. SHILAP Revista de lepidopterología. 44. 100417–100417. 1 indexed citations

6.

Shen, Xiaotao, et al.. (2024). Interindividual Variability in Postprandial Plasma Fructose Patterns in Adults. Nutrients. 16(18). 3079–3079. 2 indexed citations

7.

Wei, Wei, Nicholas M. Riley, Xuchao Lyu, et al.. (2023). Organism-wide, cell-type-specific secretome mapping of exercise training in mice. Cell Metabolism. 35(7). 1261–1279.e11. 45 indexed citations

8.

Shen, Xiaotao, Ryan Kellogg, Daniel J. Panyard, et al.. (2023). Multi-omics microsampling for the profiling of lifestyle-associated changes in health. Nature Biomedical Engineering. 8(1). 11–29. 46 indexed citations

9.

Shen, Xiaotao, Chuchu Wang, & M Snyder. (2022). massDatabase: utilities for the operation of the public compound and pathway database. Bioinformatics. 38(19). 4650–4651. 4 indexed citations

10.

Shen, Xiaotao, Wei Shao, Chuchu Wang, et al.. (2022). Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings in Bioinformatics. 23(5). 9 indexed citations

11.

Gao, Peng, Xiaotao Shen, Xinyue Zhang, et al.. (2022). Precision environmental health monitoring by longitudinal exposome and multi-omics profiling. Genome Research. 32(6). 1199–1214. 40 indexed citations

12.

Shen, Xiaotao, Yan Hong, Chuchu Wang, et al.. (2022). TidyMass an object-oriented reproducible analysis framework for LC–MS data. Nature Communications. 13(1). 4365–4365. 40 indexed citations

13.

Zhang, Sai, Johnathan Cooper‐Knock, Annika K. Weimer, et al.. (2022). Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity. Cell Systems. 13(8). 598–614.e6. 14 indexed citations

14.

Shen, Xiaotao, Si Wu, Liang Liang, et al.. (2021). metID: an R package for automatable compound annotation for LC−MS-based data. Bioinformatics. 38(2). 568–569. 29 indexed citations

15.

Li, Xia, Lihong Zhao, Jiali Lv, et al.. (2021). Serum metabolomics analysis for the progression of esophageal squamous cell carcinoma. Journal of Cancer. 12(11). 3190–3197. 20 indexed citations

16.

Liang, Liang, Marie-Louise Hee Rasmussen, Brian Piening, et al.. (2020). Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women. Obstetrical & Gynecological Survey. 75(11). 649–651. 4 indexed citations

17.

Liang, Liang, Marie-Louise Hee Rasmussen, Brian Piening, et al.. (2020). Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women. Cell. 181(7). 1680–1692.e15. 191 indexed citations

18.

Shen, Xiaotao, Ruohong Wang, Xin Xiong, et al.. (2019). Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics. Nature Communications. 10(1). 1516–1516. 262 indexed citations

19.

Jia, Huixun, Xiaotao Shen, Yun Guan, et al.. (2018). Predicting the pathological response to neoadjuvant chemoradiation using untargeted metabolomics in locally advanced rectal cancer. Radiotherapy and Oncology. 128(3). 548–556. 48 indexed citations

20.

Tan, Ying, Juan Tan, Wenjuan Cui, et al.. (2015). Alteration of Basal Ganglia and Right Frontoparietal Network in Early Drug-Naïve Parkinson’s Disease during Heat Pain Stimuli and Resting State. Frontiers in Human Neuroscience. 9. 467–467. 24 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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