Sheng Ding

1.4k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Sheng Ding is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sheng Ding has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sheng Ding's work include CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (3 papers) and Chromosomal and Genetic Variations (2 papers). Sheng Ding is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (3 papers) and Chromosomal and Genetic Variations (2 papers). Sheng Ding collaborates with scholars based in China, United States and India. Sheng Ding's co-authors include Tian Xu, Xiaohui Wu, Yuan Zhuang, Min Han, Gang Li, Hao Chang, Ramanaiah Mamillapalli, Tian Li, Xiao‐Bing Gao and Liu Hon and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sheng Ding

15 papers receiving 1.1k 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.

Efficient Transposition of the piggyBac (PB) Transposon in Mammalian Cells and Mice

2005 747 citations Sheng Ding, Xiaohui Wu et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheng Ding China	9	832	351	137	97	76	16	1.1k
Stefan Moisyadi United States	23	986 1.2×	621 1.8×	179 1.3×	57 0.6×	63 0.8×	48	1.3k
Rebecca Rimini Italy	12	694 0.8×	263 0.7×	47 0.3×	108 1.1×	111 1.5×	13	1.1k
Sharon Eden Israel	6	904 1.1×	259 0.7×	99 0.7×	92 0.9×	55 0.7×	7	1.3k
Ulrike C. Lange Germany	15	1.3k 1.6×	354 1.0×	111 0.8×	180 1.9×	66 0.9×	24	1.6k
Hillel T. Schwartz United States	16	1000 1.2×	140 0.4×	74 0.5×	67 0.7×	127 1.7×	30	1.5k
Ercole Rao Germany	12	763 0.9×	777 2.2×	178 1.3×	65 0.7×	31 0.4×	19	1.1k
Noriko Hiraiwa Japan	17	545 0.7×	171 0.5×	44 0.3×	59 0.6×	83 1.1×	28	950
Ramaiah Nagaraja United States	20	1.1k 1.4×	609 1.7×	211 1.5×	122 1.3×	51 0.7×	44	1.5k
Elizabeth A. Vallen United States	14	845 1.0×	130 0.4×	105 0.8×	53 0.5×	53 0.7×	18	1.0k
Yacine Chérifi France	11	825 1.0×	282 0.8×	71 0.5×	90 0.9×	55 0.7×	21	1.0k

Countries citing papers authored by Sheng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Ding

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

All Works

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16 of 16 papers shown

Wang, Jun, et al.. (2025). Change trends in serum phosphate levels predict in-hospital mortality in critically ill septic patients. Scientific Reports. 15(1). 6813–6813.

Jiang, Li, et al.. (2023). Early Enteral Nutrition and Sepsis-Associated Acute Kidney Injury: A Propensity Score Matched Cohort Study Based on the MIMIC-III Database. Yonsei Medical Journal. 64(4). 259–259. 6 indexed citations

Ding, Sheng, et al.. (2022). Improving the clinical ability and quality of endocrinology department with diagnosis-related groups tool. Annals of Translational Medicine. 10(4). 167–167. 4 indexed citations

Chang, Hao, Sean F. Landrette, Sheng Ding, et al.. (2019). Efficient genome-wide first-generation phenotypic screening system in mice using the piggyBac transposon. Proceedings of the National Academy of Sciences. 116(37). 18507–18516. 9 indexed citations

Li, Tian, Ramanaiah Mamillapalli, Sheng Ding, et al.. (2018). Endometriosis alters brain electrophysiology, gene expression and increases pain sensitization, anxiety, and depression in female mice†. Biology of Reproduction. 99(2). 349–359. 78 indexed citations

Li, Min‐Dian, Nicholas B. Vera, Yunfan Yang, et al.. (2018). Adipocyte OGT governs diet-induced hyperphagia and obesity. Nature Communications. 9(1). 5103–5103. 53 indexed citations

Guan, Li, et al.. (2017). Digital expression analysis of the genes associated with salinity resistance after overexpression of a stress-responsive small GTP-binding RabG protein in peanut. Genetics and Molecular Research. 16(1). 7 indexed citations

Li, Shuang, Hong Tian, Chu Chen, et al.. (2016). Lmod2 piggyBac mutant mice exhibit dilated cardiomyopathy. Cell & Bioscience. 6(1). 38–38. 17 indexed citations

Wang, Guangxue, Rongbo Li, Ying Yang, et al.. (2016). Disruption of the Golgi protein Otg1 gene causes defective hormone secretion and aberrant glucose homeostasis in mice. Cell & Bioscience. 6(1). 41–41. 5 indexed citations

10.

Tian, Lei, Sheng Ding, Yun You, et al.. (2015). Leiomodin-3-deficient mice display nemaline myopathy with fast-myofiber atrophy. Disease Models & Mechanisms. 8(6). 635–641. 25 indexed citations

11.

Ding, Sheng, Tian Xu, & Xiaohui Wu. (2014). Generation of Genetically Engineered Mice by the piggyBac Transposon System. Methods in molecular biology. 1194. 171–185. 6 indexed citations

12.

Ding, Sheng, Michael Song, Bee-Cheng Sim, et al.. (2014). Multivalent Antiviral XTEN–Peptide Conjugates with Long in Vivo Half-Life and Enhanced Solubility. Bioconjugate Chemistry. 25(7). 1351–1359. 41 indexed citations

13.

Ding, Sheng, Shimin Zhao, Min Han, et al.. (2014). A piggyBac insertion disrupts Foxl2 expression that mimics BPES syndrome in mice. Human Molecular Genetics. 23(14). 3792–3800. 8 indexed citations

14.

Liu, Jun, Kristen Johnson, Jie Li, et al.. (2011). Regenerative phenotype in mice with a point mutation in transforming growth factor β type I receptor ( TGFBR1 ). Proceedings of the National Academy of Sciences. 108(35). 14560–14565. 34 indexed citations

15.

Sun, Lei, Ke Jin, Yi Liu, et al.. (2007). PBmice: an integrated database system of piggyBac (PB) insertional mutations and their characterizations in mice. Nucleic Acids Research. 36(Database). D729–D734. 39 indexed citations

16.

Ding, Sheng, Xiaohui Wu, Gang Li, et al.. (2005). Efficient Transposition of the piggyBac (PB) Transposon in Mammalian Cells and Mice. Cell. 122(3). 473–483. 747 indexed citations breakdown →

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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