Jiao Ding

2.2k total citations
49 papers, 1.7k citations indexed

About

Jiao Ding is a scholar working on Molecular Biology, Organic Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jiao Ding has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Organic Chemistry and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jiao Ding's work include Genomics, phytochemicals, and oxidative stress (11 papers), Chemical Synthesis and Analysis (5 papers) and Heavy Metal Exposure and Toxicity (5 papers). Jiao Ding is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (11 papers), Chemical Synthesis and Analysis (5 papers) and Heavy Metal Exposure and Toxicity (5 papers). Jiao Ding collaborates with scholars based in United States, China and United Kingdom. Jiao Ding's co-authors include Fung‐Lung Chung, Ann Barry Flood, C. Clifford Conaway, Victor J. Hruby, Floyd J. Fowler, Robert F. Nease, John E. Wennberg, Mimi C. Yu, Jean H. Hankin and Michael Barfield and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jiao Ding

48 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiao Ding United States 24 774 250 249 207 162 49 1.7k
Paula Fresco Portugal 20 471 0.6× 128 0.5× 185 0.7× 104 0.5× 73 0.5× 56 2.4k
Jay H. Fowke United States 32 659 0.9× 502 2.0× 102 0.4× 122 0.6× 482 3.0× 105 2.9k
Craig K. Svensson United States 25 478 0.6× 234 0.9× 106 0.4× 71 0.3× 166 1.0× 74 2.4k
David W. Nierenberg United States 27 548 0.7× 358 1.4× 160 0.6× 199 1.0× 805 5.0× 73 2.9k
Yousif A. Asiri Saudi Arabia 21 333 0.4× 160 0.6× 441 1.8× 102 0.5× 134 0.8× 82 1.7k
James P. Keogh United States 12 1.3k 1.6× 245 1.0× 417 1.7× 68 0.3× 777 4.8× 22 4.0k
Surinder Singh United Kingdom 23 208 0.3× 118 0.5× 170 0.7× 185 0.9× 202 1.2× 70 1.8k
Robert B. Parker United States 27 779 1.0× 168 0.7× 128 0.5× 61 0.3× 145 0.9× 100 2.6k
L. Kohlmeier United States 28 394 0.5× 180 0.7× 151 0.6× 86 0.4× 852 5.3× 56 2.7k
Charlene Belanger United States 14 665 0.9× 407 1.6× 239 1.0× 99 0.5× 815 5.0× 15 3.3k

Countries citing papers authored by Jiao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Ding. A scholar is included among the top collaborators of Jiao 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 Jiao Ding. Jiao 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.
Zhu, Jiahui, et al.. (2022). EDNRA Gene rs1878406 Polymorphism is Associated With Susceptibility to Large Artery Atherosclerotic Stroke. Frontiers in Genetics. 12. 783074–783074. 2 indexed citations
2.
Zhang, Chunhua, Jiao Ding, Hong Li, & Ting Wang. (2022). Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction. BMC Pregnancy and Childbirth. 22(1). 77–77. 3 indexed citations
3.
Zhu, Jiahui, et al.. (2021). The Role of Formyl Peptide Receptors in Neurological Diseases via Regulating Inflammation. Frontiers in Cellular Neuroscience. 15. 753832–753832. 27 indexed citations
4.
Shi, Dian, Jiao Ding, Hong Pu, et al.. (2019). Total cholesterol to high-density lipoprotein cholesterol ratio is a significant predictor of nonalcoholic fatty liver: Jinchang cohort study. Lipids in Health and Disease. 18(1). 47–47. 53 indexed citations
5.
6.
Zhang, Jianping, Ning Cheng, Yubao Ma, et al.. (2018). Liver Enzymes, Fatty Liver and Type 2 Diabetes Mellitus in a Jinchang Cohort: A Prospective Study in Adults. Canadian Journal of Diabetes. 42(6). 652–658. 16 indexed citations
7.
Yang, Aimin, et al.. (2017). Heavy Metal Assessment among Chinese Nonferrous Metal-exposed Workers from the Jinchang Cohort Study.. PubMed. 30(7). 530–534. 7 indexed citations
8.
Yang, Aimin, Simin Liu, Zhiyuan Cheng, et al.. (2017). Dose-response analysis of environmental exposure to multiple metals and their joint effects with fasting plasma glucose among occupational workers. Chemosphere. 186. 314–321. 31 indexed citations
9.
Bai, Yana, Aimin Yang, Min Dai, et al.. (2016). Cohort Profile: The China Metal-Exposed Workers Cohort Study (Jinchang Cohort). International Journal of Epidemiology. 46(4). dyw223–dyw223. 36 indexed citations
10.
Yang, Aimin, Simin Liu, Ning Cheng, et al.. (2016). Reproductive factors and risk of type 2 diabetes in an occupational cohort of Chinese women. Journal of Diabetes and its Complications. 30(7). 1217–1222. 21 indexed citations
11.
Smith, Tyler, Julia A. Wolfson, Jiao Ding, et al.. (2015). Caramel Color in Soft Drinks and Exposure to 4-Methylimidazole: A Quantitative Risk Assessment. PLoS ONE. 10(2). e0118138–e0118138. 38 indexed citations
12.
Flood, Ann Barry, et al.. (1998). How do HMOs achieve savings? The effectiveness of one organization's strategies.. PubMed. 33(1). 79–99. 31 indexed citations
13.
Shenderovich, Mark D., Katalin E. Kövér, Gregory V. Nikiforovich, Jiao Ding, & Victor J. Hruby. (1998). Conformational analysis of β-methyl-para-nitrophenylalanine stereoisomers of cyclo[D-Pen2, D-Pen5]enkephalin by NMR spectroscopy and conformational energy calculations. Biopolymers. 38(2). 141–156. 12 indexed citations
14.
15.
Flood, Ann Barry, et al.. (1996). The importance of patient preference in the decision to screen for prostate cancer. Journal of General Internal Medicine. 11(6). 342–349. 223 indexed citations
16.
Ding, Jiao, Theresa J. Smith, Sungbin Kim, et al.. (1996). The essential role of the functional group in alkyl isothiocyanates for inhibition of tobacco nitrosamine-induced lung tumorigenesis. Carcinogenesis. 17(4). 755–759. 15 indexed citations
17.
Black, Nick, Mark E. Glickman, Jiao Ding, & Ann Barry Flood. (1995). International Variation in Intervention Rates: What Are the Implications for Patient Selection?. International Journal of Technology Assessment in Health Care. 11(4). 718–732. 6 indexed citations
18.
19.
Hruby, Victor J., et al.. (1994). Strategies for cyclizations of novel peptides on solid supports. Reactive Polymers. 22(3). 231–241. 11 indexed citations
20.
Flood, Ann Barry, Daniel Lorence, Jiao Ding, Klim McPherson, & Nicholas Black. (1993). The Role of Expectations in Patients?? Reports of Post-Operative Outcomes and Improvement Following Therapy. Medical Care. 31(11). 1043–1056. 133 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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