Xin Sheng

4.0k total citations · 2 hit papers
49 papers, 1.7k citations indexed

About

Xin Sheng is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Xin Sheng has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Nephrology. Recurrent topics in Xin Sheng's work include Epigenetics and DNA Methylation (9 papers), Renal and related cancers (7 papers) and Chronic Kidney Disease and Diabetes (6 papers). Xin Sheng is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Renal and related cancers (7 papers) and Chronic Kidney Disease and Diabetes (6 papers). Xin Sheng collaborates with scholars based in China, United States and Bangladesh. Xin Sheng's co-authors include Katalin Suszták, Matthew Palmer, Jihwan Park, Chengxiang Qiu, Shizheng Huang, Poonam Dhillon, Rojesh Shrestha, Liming Pei, Brett A. Kaufman and Joseph A. Baur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Xin Sheng

41 papers receiving 1.6k 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.

Mitochondrial Damage and Activation of the STING Pathway Lead to Renal Inflammation and Fibrosis

2019 461 citations Ki Wung Chung, Poonam Dhillon et al. Cell Metabolism profile →
Renal tubule Cpt1a overexpression protects from kidney fibrosis by restoring mitochondrial homeostasis

2021 237 citations Verónica Miguel, Jessica Tituaña et al. Journal of Clinical Investigation profile →

Peers

Countries citing papers authored by Xin Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Xin Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Sheng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The bidirectional relationship between cilia and PCP signaling pathway core protein Vangl2 2025 ·Science Progress ·(unknown), Ting Liang, (unknown), (unknown), Xin Sheng	0
2	Bioinformatic identification of important roles of COL1A1 and TNFRSF12A in cartilage injury and osteoporosis 2025 ·Journal of the International Society of Sports Nutrition ·(unknown), (unknown), Xin Sheng, Zihong Zhang, (unknown)	0
3	Evaluation of low volume sampling devices for a pharmacodynamic biomarker analysis: Challenges and solutions 2024 ·Journal of Pharmaceutical and Biomedical Analysis ·(unknown), (unknown), Kathi Williams, Xin Sheng, Saloumeh K Fischer	3
4	Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development 2024 ·Nature Communications ·Yu Yan, Hongbo Liu, Amin Abedini, Xin Sheng, Matthew Palmer, Hongzhe Li, Katalin Suszták	23
5	Increased levels of endogenous retroviruses trigger fibroinflammation and play a role in kidney disease development 2023 ·Nature Communications ·Poonam Dhillon, (unknown), Hailong Hu, Jihwan Park, Xin Sheng, Amin Abedini, Hongbo Liu, (unknown), Junnan Wu, Katalin Suszták	34
6	Biomarkers of fibrosis, inflammation, and extracellular matrix in the phase 3 trial of tocilizumab in systemic sclerosis 2023 ·Clinical Immunology ·Xin Sheng, (unknown), Courtney Schiffman, Jenny Jiang, Thirumalai R. Ramalingam, Celia J. F. Lin, Dinesh Khanna, Margaret Neighbors	11
7	Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease 2022 ·Nature Genetics ·Hongbo Liu, Tomohito Doke, (unknown), Xin Sheng, Ziyuan Ma, Joseph Park, Ha My T. Vy, Girish N. Nadkarni, Amin Abedini, Zhen Miao, Matthew Palmer, Benjamin F. Voight, Hongzhe Li, Christopher D. Brown, Marylyn D. Ritchie, Yan Shu, Katalin Suszták	102
8	Rare and undiagnosed diseases: From disease-causing gene identification to mechanism elucidation 2022 ·Fundamental Research ·(unknown), (unknown), Qintao Wang, Yi Chai, Xiangwei Sun, Fan Yang, Jian Zhang, Mengchen Wu, Xufeng Liao, Xiaomin Yu, Xin Sheng, Zhihong Liu, Jin Zhang	2
9	Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis 2021 ·Journal of Clinical Investigation ·Tomohito Doke, Shizheng Huang, Chengxiang Qiu, Hongbo Liu, Yuting Guan, Hailong Hu, Ziyuan Ma, Junnan Wu, Zhen Miao, Xin Sheng, (unknown), Aili Cao, Jianhua Li, Lewis Kaufman, Adriana M. Hung, Christopher D. Brown, Richard G. Pestell, Katalin Suszták	50
10	Renal tubule Cpt1a overexpression protects from kidney fibrosis by restoring mitochondrial homeostasis breakdown → 2021 ·Journal of Clinical Investigation ·Verónica Miguel, Jessica Tituaña, J. Ignacio Herrero, Laura Herrero, Dolors Serra, (unknown), Coral Barbas, Diego Rodrı́guez-Puyol, Laura Márquez‐Expósito, Marta Ruiz‐Ortega, Carolina Castillo, Xin Sheng, Katalin Suszták, Miguel Ruiz‐Canela, Jordi Salas‐Salvadó, Miguel Ángel Martínez‐González, Sagrario Ortega, Ricardo Ramos, Santiago Lamas	237
11	The key role of NLRP3 and STING in APOL1-associated podocytopathy 2021 ·Journal of Clinical Investigation ·Junnan Wu, Archana Raman, Nathan J. Coffey, Xin Sheng, (unknown), Matthew J. Seasock, Ziyuan Ma, Pazit Beckerman, Dorottya Laczkó, Matthew B. Palmer, Jeffrey B. Kopp, Jay J. Kuo, Steven S. Pullen, Carine M. Boustany‐Kari, Andreas Linkermann, Katalin Suszták	94
12	Dnmt3a and Dnmt3b-Decommissioned Fetal Enhancers are Linked to Kidney Disease 2020 ·Journal of the American Society of Nephrology ·Yuting Guan, Hongbo Liu, Ziyuan Ma, Szu‐Yuan Li, Jihwan Park, Xin Sheng, Katalin Suszták	19
13	Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease 2020 ·Proceedings of the National Academy of Sciences ·Xin Sheng, Chengxiang Qiu, Hongbo Liu, Caroline Gluck, Jesse Y. Hsu, Jiang He, Chi‐yuan Hsu, Daohang Sha, Matthew R. Weir, Tamara Isakova, Dominic S. Raj, Hernan Rincon-Choles, Harold I. Feldman, Raymond R. Townsend, Hongzhe Li, Katalin Suszták	59
14	Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease 2019 ·Nature Communications ·Caroline Gluck, Chengxiang Qiu, Sang Youb Han, Matthew Palmer, Jihwan Park, Yi-An Ko, Yuting Guan, Xin Sheng, Robert L. Hanson, Jing Huang, Yong Chen, Ae Seo Deok Park, María C. Izquierdo, Ioannis Mantzaris, Amit Verma, James Pullman, Hongzhe Li, Katalin Suszták	59
15	Functional methylome analysis of human diabetic kidney disease 2019 ·JCI Insight ·Jihwan Park, Yuting Guan, Xin Sheng, Caroline Gluck, Matthew J. Seasock, A. Ari Hakimi, Chengxiang Qiu, James Pullman, Amit Verma, Hongzhe Li, Matthew Palmer, Katalin Suszták	59
16	Mitochondrial Damage and Activation of the STING Pathway Lead to Renal Inflammation and Fibrosis breakdown → 2019 ·Cell Metabolism ·Ki Wung Chung, Poonam Dhillon, Shizheng Huang, Xin Sheng, Rojesh Shrestha, Chengxiang Qiu, Brett A. Kaufman, Jihwan Park, Liming Pei, Joseph A. Baur, Matthew Palmer, Katalin Suszták	461
17	Synonymous codon usage analysis of hand, foot and mouth disease viruses: A comparative study on coxsackievirus A6, A10, A16, and enterovirus 71 from 2008 to 2015 2017 ·Infection Genetics and Evolution ·Weiheng Su, (unknown), Meili Chen, Wenwen Dai, Shiyang Sun, Shuai Wang, Xin Sheng, Shixiang Sun, Gao Chen, Ali Hou, Yan Zhou, Bo Sun, Feng Gao, Jingfa Xiao, Zhewen Zhang, Chunlai Jiang	9
18	Ultrastructure of the microtubular cytoskeleton in Euplotes eurystomus(Hypotrichous,ciliophora) 2011 ·Huadong Shifan Daxue xuebao. Ziran kexue ban ·Xin Sheng, (unknown), (unknown), (unknown), (unknown)	0
19	Influences of the Interference of γ-tubulin Gene Expression on the Morphology and Microtubules of CiliateEuplotes eurystomus 2011 ·ZOOLOGICAL SCIENCE ·Xin Sheng, (unknown), Meng Zhang, (unknown), Fei Yin, (unknown)	2
20	Identification of three mouse μ-opioid receptor (MOR) gene (Oprm1) splice variants containing a newly identified alternatively spliced exon 2006 ·Gene ·Glenn A. Doyle, Xin Sheng, Sharon Lin, Danielle Press, Dorothy E. Grice, Russell J. Buono, Thomas N. Ferraro, Wade H. Berrettini	26

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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