Xiaohong Ding

586 total citations
9 papers, 472 citations indexed

About

Xiaohong Ding is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaohong Ding has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaohong Ding's work include Adipose Tissue and Metabolism (2 papers), Estrogen and related hormone effects (2 papers) and Ovarian function and disorders (2 papers). Xiaohong Ding is often cited by papers focused on Adipose Tissue and Metabolism (2 papers), Estrogen and related hormone effects (2 papers) and Ovarian function and disorders (2 papers). Xiaohong Ding collaborates with scholars based in China and United States. Xiaohong Ding's co-authors include Raymond A. Daynes, Dallas C. Jones, Tian Yi Zhang, Rong Tang, Jianghu Zhu, Haiyan Yang, Xiao‐Ping Chen, Jiexue Pan, Lili Yang and Zimiao Chen and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Cytokine.

In The Last Decade

Xiaohong Ding

9 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaohong Ding China	9	200	140	105	91	59	9	472
Mélissa Buscato France	13	131 0.7×	127 0.9×	72 0.7×	37 0.4×	53 0.9×	26	453
Karla Saner United States	5	165 0.8×	175 1.3×	45 0.4×	52 0.6×	20 0.3×	7	430
Montserrat Puente Spain	6	215 1.1×	85 0.6×	45 0.4×	40 0.4×	49 0.8×	6	527
Pierre R. Provost Canada	17	236 1.2×	142 1.0×	29 0.3×	29 0.3×	66 1.1×	40	749
Darijana Horvat United States	15	172 0.9×	50 0.4×	131 1.2×	26 0.3×	64 1.1×	27	581
C. Malet France	10	250 1.3×	203 1.4×	49 0.5×	51 0.6×	17 0.3×	23	714
Yewei Xing United States	13	235 1.2×	356 2.5×	23 0.2×	63 0.7×	38 0.6×	17	607
Jean‐Marc Husson France	6	76 0.4×	256 1.8×	58 0.6×	59 0.6×	20 0.3×	8	576
Kathirvel Gopalakrishnan United States	14	225 1.1×	105 0.8×	46 0.4×	26 0.3×	77 1.3×	25	538
William H. Cleland United States	8	118 0.6×	123 0.9×	28 0.3×	50 0.5×	68 1.2×	9	445

Countries citing papers authored by Xiaohong Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohong Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Ding. A scholar is included among the top collaborators of Xiaohong 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 Xiaohong Ding. Xiaohong 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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9 of 9 papers shown

Ding, Xiaohong, et al.. (2020). An Appraisal of the Role of Previously Reported Risk Factors in the Age at Menopause Using Mendelian Randomization. Frontiers in Genetics. 11. 507–507. 9 indexed citations

Tang, Rong, Jian Wang, Lili Yang, et al.. (2019). Subclinical Hypothyroidism and Depression: A Systematic Review and Meta-Analysis. Frontiers in Endocrinology. 10. 340–340. 51 indexed citations

Tang, Rong, Xiaohong Ding, & Jianghu Zhu. (2019). Kisspeptin and Polycystic Ovary Syndrome. Frontiers in Endocrinology. 10. 298–298. 63 indexed citations

Tang, Rong, Xiaohua Ye, Shangqin Chen, et al.. (2019). Pregravid Oral Contraceptive Use and the Risk of Preterm Birth, Low Birth Weight, and Spontaneous Abortion: A Systematic Review and Meta-Analysis. Journal of Women s Health. 29(4). 570–576. 10 indexed citations

Ding, Xiaohong, Lili Yang, Jian Wang, et al.. (2018). Subclinical Hypothyroidism in Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis. Frontiers in Endocrinology. 9. 700–700. 35 indexed citations

Zhang, Tian Yi, Xiaohong Ding, & Raymond A. Daynes. (2005). The Expression of 11β-Hydroxysteroid Dehydrogenase Type I by Lymphocytes Provides a Novel Means for Intracrine Regulation of Glucocorticoid Activities. The Journal of Immunology. 174(2). 879–889. 80 indexed citations

Jones, Dallas C., Xiaohong Ding, Tian Yi Zhang, & Raymond A. Daynes. (2003). Peroxisome Proliferator-Activated Receptor α Negatively Regulates T-bet Transcription Through Suppression of p38 Mitogen-Activated Protein Kinase Activation. The Journal of Immunology. 171(1). 196–203. 56 indexed citations

Jones, Dallas C., Xiaohong Ding, & Raymond A. Daynes. (2002). Nuclear Receptor Peroxisome Proliferator-activated Receptor α (PPARα) Is Expressed in Resting Murine Lymphocytes. Journal of Biological Chemistry. 277(9). 6838–6845. 142 indexed citations

Chen, Xiao‐Ping, Xiaohong Ding, & Raymond A. Daynes. (2000). GANGLIOSIDE CONTROL OVER IL-4 PRIMING AND CYTOKINE PRODUCTION IN ACTIVATED T CELLS. Cytokine. 12(7). 972–985. 26 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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