Juan Ding

1.6k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Juan Ding is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Juan Ding has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Juan Ding's work include Machine Learning in Bioinformatics (6 papers), Cancer-related molecular mechanisms research (6 papers) and Gut microbiota and health (6 papers). Juan Ding is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Cancer-related molecular mechanisms research (6 papers) and Gut microbiota and health (6 papers). Juan Ding collaborates with scholars based in China, United States and Japan. Juan Ding's co-authors include Yi Liu, Lingying Tong, Yanyan Cao, Robert A. Colvin, Weihe Zhang, Stephen C. Bergmeier, Jennifer V. Hines, Yanrong Qian, Huzoor Akbar and Xiaozhuo Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Juan Ding

45 papers receiving 1.2k citations

Hit Papers

TFOS DEWS II Sex, Gender, and Hormones Report 2017 2026 2020 2023 2017 50 100 150 200 250
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.

  1. TFOS DEWS II Sex, Gender, and Hormones Report
    2017 298 citations Juan Ding et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Ding China 14 616 427 301 133 110 48 1.2k
Yashwanth Subbannayya India 16 659 1.1× 147 0.3× 65 0.2× 140 1.1× 90 0.8× 55 1.3k
Michael Ford United States 19 821 1.3× 135 0.3× 43 0.1× 240 1.8× 26 0.2× 59 1.5k
Pércío S. Gulko United States 27 801 1.3× 215 0.5× 49 0.2× 471 3.5× 10 0.1× 78 2.1k
Beibei Wang China 21 478 0.8× 116 0.3× 62 0.2× 297 2.2× 36 0.3× 83 1.5k
Zixing Chen China 20 798 1.3× 197 0.5× 113 0.4× 201 1.5× 12 0.1× 151 1.5k
Dorothée Nashan Germany 23 675 1.1× 339 0.8× 107 0.4× 687 5.2× 16 0.1× 60 2.0k
Weiwei Zhang China 20 669 1.1× 329 0.8× 40 0.1× 468 3.5× 43 0.4× 111 1.5k
Shu‐Hao Hsu Taiwan 22 2.0k 3.2× 1.7k 3.9× 63 0.2× 234 1.8× 81 0.7× 58 3.1k
Takeshi Yamasaki Japan 22 1.1k 1.7× 702 1.6× 40 0.1× 168 1.3× 12 0.1× 103 2.0k

Countries citing papers authored by Juan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ding. A scholar is included among the top collaborators of Juan 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 Juan Ding. Juan Ding 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.
Wang, Xiujuan, Zhaorui Wang, Xiao Ma, et al.. (2025). Gut microbiota characteristics in neonatal respiratory distress syndrome and the therapeutic potential of probiotics in recovery. Frontiers in Microbiology. 16. 1544055–1544055.
2.
3.
Ding, Juan, Yingqi Teng, Xiao Ke, et al.. (2025). LncRNAs in serum-derived extracellular vesicles are potential biomarker and correlated with immune infiltration in gastric cancer. Frontiers in Immunology. 16. 1533111–1533111. 2 indexed citations
4.
Ma, Xiao, Juan Ding, Hongyan Ren, et al.. (2023). Distinguishable Influence of the Delivery Mode, Feeding Pattern, and Infant Sex on Dynamic Alterations in the Intestinal Microbiota in the First Year of Life. Microbial Ecology. 86(3). 1799–1813. 10 indexed citations
5.
Ding, Juan. (2023). Analysis of the Connotation of Digital Literacy and Related Literacy. International Journal of New Developments in Education. 5(23). 2 indexed citations
6.
Wang, Xiaolin, Juan Ding, Xiao Ma, et al.. (2023). Crosstalk between Breast Milk N-Acetylneuraminic Acid and Infant Growth in a Gut Microbiota-Dependent Manner. Metabolites. 13(7). 846–846. 6 indexed citations
7.
Ding, Juan, Fujian Zheng, Yaorui Ye, et al.. (2023). Maturation of the gut metabolome during the first year of life in humans. Gut Microbes. 15(1). 2231596–2231596. 13 indexed citations
8.
Ding, Juan, et al.. (2022). Determinants of delayed onset of lactogenesis II among women who delivered via Cesarean section at a tertiary hospital in China: a prospective cohort study. International Breastfeeding Journal. 17(1). 81–81. 12 indexed citations
9.
Xiao, Ke, Shirong Li, Juan Ding, et al.. (2022). Expression and clinical value of circRNAs in serum extracellular vesicles for gastric cancer. Frontiers in Oncology. 12. 962831–962831. 12 indexed citations
10.
11.
Ding, Juan, et al.. (2020). MEG3 Induces Cervical Carcinoma Cells' Apoptosis Through Endoplasmic Reticulum Stress by miR-7-5p/STC1 Axis. Cancer Biotherapy and Radiopharmaceuticals. 36(6). 501–510. 20 indexed citations
12.
Ding, Juan, et al.. (2020). Trichostatin A Induces Autophagy in Cervical Cancer Cells by Regulating the PRMT5-STC1-TRPV6-JNK Pathway. Pharmacology. 106(1-2). 60–69. 22 indexed citations
13.
Li, Biqing, Kaiyan Feng, Juan Ding, & Yu‐Dong Cai. (2014). Predicting DNA-binding sites of proteins based on sequential and 3D structural information. Molecular Genetics and Genomics. 289(3). 489–499. 15 indexed citations
14.
Niu, Bing, Yuchao Zhang, Juan Ding, et al.. (2013). Predicting network of drug–enzyme interaction based on machine learning method. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(1). 214–223. 8 indexed citations
15.
Niu, Bing, Qiang Su, Chunrong Peng, et al.. (2013). HIV-1 Protease Cleavage Site Prediction Based on Two-Stage Feature Selection Method. Protein and Peptide Letters. 20(3). 290–298. 11 indexed citations
16.
Liu, Yi, Yanyan Cao, Weihe Zhang, et al.. (2012). A Small-Molecule Inhibitor of Glucose Transporter 1 Downregulates Glycolysis, Induces Cell-Cycle Arrest, and Inhibits Cancer Cell Growth In Vitro and In Vivo. Molecular Cancer Therapeutics. 11(8). 1672–1682. 444 indexed citations
17.
Zheng, Lulu, Yixue Li, Juan Ding, et al.. (2012). A Comparison of Computational Methods for Identifying Virulence Factors. PLoS ONE. 7(8). e42517–e42517. 29 indexed citations
18.
Ding, Juan, Darlene E. Berryman, & John J. Kopchick. (2011). Plasma proteomic profiles of bovine growth hormone transgenic mice as they age. Transgenic Research. 20(6). 1305–1320. 22 indexed citations
19.
Kopchick, John J., Lucila Sackmann‐Sala, & Juan Ding. (2007). Primer: molecular tools used for the understanding of endocrinology. Nature Clinical Practice Endocrinology & Metabolism. 3(4). 355–368. 1 indexed citations
20.
Ding, Juan. (2001). Low synthesis of retinoic acid due to impaired cytochrome P450 1a1 expression in mouse xeroderma pigmentosum fibroblasts. The International Journal of Biochemistry & Cell Biology. 33(6). 603–612. 5 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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