Nan Shen

8.3k total citations · 4 hit papers
83 papers, 4.7k citations indexed

About

Nan Shen is a scholar working on Molecular Biology, Clinical Biochemistry and Cancer Research. According to data from OpenAlex, Nan Shen has authored 83 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 11 papers in Clinical Biochemistry and 10 papers in Cancer Research. Recurrent topics in Nan Shen's work include Gut microbiota and health (12 papers), Metabolism and Genetic Disorders (10 papers) and Mitochondrial Function and Pathology (8 papers). Nan Shen is often cited by papers focused on Gut microbiota and health (12 papers), Metabolism and Genetic Disorders (10 papers) and Mitochondrial Function and Pathology (8 papers). Nan Shen collaborates with scholars based in China, United States and Germany. Nan Shen's co-authors include José C. Clemente, Sabrina Tamburini, Paul J. Pfaffinger, Nenad Blau, Xinghai Chen, Keimari Méndez, Se Jin Song, Antonio G. González, Juana I Rivera-Viñas and Nicholas A. Bokulich and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Medicine and Neuron.

In The Last Decade

Nan Shen

79 papers receiving 4.6k citations

Hit Papers

The microbiome in early life: implications for health out... 2016 2026 2019 2022 2016 2016 2016 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Shen China 28 3.0k 721 505 435 420 83 4.7k
Jun Ma China 39 4.5k 1.5× 645 0.9× 877 1.7× 599 1.4× 382 0.9× 198 7.5k
Eric Brown United States 30 3.2k 1.1× 828 1.1× 565 1.1× 647 1.5× 1.1k 2.5× 78 5.6k
Takeshi Shimizu Japan 43 2.6k 0.9× 1.0k 1.4× 475 0.9× 182 0.4× 276 0.7× 431 7.5k
Laurence Macia Australia 35 3.8k 1.2× 2.2k 3.1× 739 1.5× 820 1.9× 636 1.5× 87 7.2k
Eiji Ishikawa Japan 35 2.9k 1.0× 641 0.9× 431 0.9× 526 1.2× 455 1.1× 231 5.8k
Anna Ermund Sweden 26 2.6k 0.9× 711 1.0× 294 0.6× 498 1.1× 505 1.2× 38 5.1k
Henrik Sjövall Sweden 32 2.8k 0.9× 707 1.0× 597 1.2× 612 1.4× 511 1.2× 109 6.2k
Ping–Chang Yang China 34 2.2k 0.7× 1.4k 1.9× 414 0.8× 276 0.6× 292 0.7× 219 6.2k
Danielle G. Souza Brazil 48 1.9k 0.6× 687 1.0× 840 1.7× 216 0.5× 991 2.4× 166 6.2k
Noah W. Palm United States 31 3.2k 1.1× 1.1k 1.6× 583 1.2× 258 0.6× 793 1.9× 54 6.4k

Countries citing papers authored by Nan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Nan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Shen. A scholar is included among the top collaborators of Nan 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 Nan Shen. Nan Shen 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.
Tao, Yue, Binghua Zhang, Nan Shen, et al.. (2024). Diagnostic performance of a multiplexed gastrointestinal PCR panel for identifying diarrheal pathogens in children undergoing hematopoietic stem cell transplant. World Journal of Pediatrics. 20(9). 966–975. 1 indexed citations
2.
Li, Changqing, Nan Shen, Shaohua Yang, & Huili Wang. (2023). Effects of BPA Exposure and Recovery on the Expression of Genes Involved in the Hepatic Lipid Metabolism in Male Mice. Toxics. 11(9). 775–775. 4 indexed citations
3.
Gu, Xiaozhen, et al.. (2023). Pb inhibited C2C12 myoblast differentiation by regulating HDAC2. Toxicology. 499. 153639–153639. 2 indexed citations
4.
Shen, Nan, et al.. (2023). Exploration of Serum lipid levels during twin pregnancy. The Journal of Maternal-Fetal & Neonatal Medicine. 36(2). 2254891–2254891. 3 indexed citations
5.
Zheng, Xin, Jun Xiao, Qi Jiang, et al.. (2022). AKT2 reduces IFNβ1 production to modulate antiviral responses and systemic lupus erythematosus. The EMBO Journal. 41(6). e108016–e108016. 13 indexed citations
6.
Zhao, Jie, Yi Pan, Yinfeng Zhang, et al.. (2021). Structural insights into the recognition of histone H3Q5 serotonylation by WDR5. Science Advances. 7(25). 27 indexed citations
7.
Zhang, Heng, Di Dai, Qianwen Hu, et al.. (2021). Bach2 attenuates IL-2R signaling to control Treg homeostasis and Tfr development. Cell Reports. 35(6). 109096–109096. 23 indexed citations
8.
Shen, Nan, et al.. (2020). Molecular diagnostic practices for infectious gastroenteritis. Chinese Medical Journal. 133(12). 1485–1486.
9.
Ding, Huihua, Xiang Yu, Yao Meng, et al.. (2019). Spermidine Suppresses Inflammatory DC Function by Activating the FOXO3 Pathway and Counteracts Autoimmunity. iScience. 23(1). 100807–100807. 53 indexed citations
10.
Himmelreich, Nastassja, Nan Shen, Jürgen G. Okun, et al.. (2018). Relationship between genotype, phenylalanine hydroxylase expression and in vitro activity and metabolic phenotype in phenylketonuria. Molecular Genetics and Metabolism. 125(1-2). 86–95. 32 indexed citations
11.
Wang, Ruifang, Nan Shen, Jun Ye, et al.. (2018). Mutation spectrum of hyperphenylalaninemia candidate genes and the genotype-phenotype correlation in the Chinese population. Clinica Chimica Acta. 481. 132–138. 23 indexed citations
12.
Chen, Bin, Jingwen Wang, Ying Wang, et al.. (2018). Oral microbiota dysbiosis and its association with Henoch-Schönlein Purpura in children. International Immunopharmacology. 65. 295–302. 21 indexed citations
13.
Chen, Nan, et al.. (2018). Clinical remission of myopathy with MYH2 deficiency after precision medicine-developed rehabilitation: a case report.. PubMed. 10(11). 3827–3832. 1 indexed citations
14.
Zhang, Lei, Ying Wang, Xuemei Liu, et al.. (2018). Gut microbiota dysbiosis is associated with Henoch-Schönlein Purpura in children. International Immunopharmacology. 58. 1–8. 55 indexed citations
15.
He, Peng, Nan Shen, Xuefeng Jiang, et al.. (2016). Periodic Mechanical Stress Activates PKCδ-Dependent EGFR Mitogenic Signals in Rat Chondrocytes via PI3K-Akt and ERK1/2. Cellular Physiology and Biochemistry. 39(4). 1281–1294. 16 indexed citations
16.
Shen, Nan, et al.. (2015). Periodic mechanical stress activates EGFR-dependent Rac1 mitogenic signals in rat nucleus pulpous cells via ERK1/2. Biochemical and Biophysical Research Communications. 469(3). 723–730. 6 indexed citations
17.
Jiang, Simon, Nan Shen, & Carola G. Vinuesa. (2015). Posttranscriptional T cell gene regulation to limit Tfh cells and autoimmunity. Current Opinion in Immunology. 37. 21–27. 11 indexed citations
18.
Du, Fang, Liangjing Lu, Jialin Teng, et al.. (2012). T-614 alters the production of matrix metalloproteinases (MMP-1 andMMP-3) and inhibits the migratory expansion of rheumatoid synovial fibroblasts, in vitro. International Immunopharmacology. 13(1). 54–60. 33 indexed citations
19.
Wang, Jilin, Xuan Kong, Hua Xiong, et al.. (2011). Calcium Prevents Tumorigenesis in a Mouse Model of Colorectal Cancer. PLoS ONE. 6(8). e22566–e22566. 30 indexed citations
20.
Shen, Nan, et al.. (1993). Deletion analysis of K+ channel assembly. Neuron. 11(1). 67–76. 208 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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