Bo Ding

3.1k total citations
110 papers, 2.5k citations indexed

About

Bo Ding is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Bo Ding has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 28 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Cancer Research. Recurrent topics in Bo Ding's work include Diabetes Treatment and Management (14 papers), Diabetes Management and Research (12 papers) and MicroRNA in disease regulation (12 papers). Bo Ding is often cited by papers focused on Diabetes Treatment and Management (14 papers), Diabetes Management and Research (12 papers) and MicroRNA in disease regulation (12 papers). Bo Ding collaborates with scholars based in China, United States and Singapore. Bo Ding's co-authors include Jun‐ichi Abe, Yan Chen, Weike Mao, Chang‐seng Liang, Jiahao Liu, Bradford C. Berk, Beverly H. Lorell, Jianhua Ma, Wenyi Che and Burns C. Blaxall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Bo Ding

103 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Ding China 27 1.5k 618 372 278 262 110 2.5k
Ying Shen China 30 1.0k 0.7× 514 0.8× 355 1.0× 284 1.0× 353 1.3× 129 2.4k
Tianlun Yang China 28 1.4k 0.9× 502 0.8× 554 1.5× 190 0.7× 227 0.9× 128 2.6k
John J Gildea United States 30 1.6k 1.1× 586 0.9× 296 0.8× 467 1.7× 198 0.8× 80 2.5k
Junlian Gu China 26 1.2k 0.8× 427 0.7× 265 0.7× 139 0.5× 188 0.7× 57 1.9k
Romain Harmancey United States 23 1.1k 0.7× 627 1.0× 492 1.3× 183 0.7× 266 1.0× 48 2.1k
Philipp Stawowy Germany 28 825 0.5× 743 1.2× 401 1.1× 310 1.1× 367 1.4× 90 2.3k
Leonard S. Golfman Canada 18 1.3k 0.9× 808 1.3× 306 0.8× 172 0.6× 178 0.7× 26 2.3k
Donny L.F. Chang United States 15 979 0.6× 827 1.3× 277 0.7× 173 0.6× 192 0.7× 17 2.0k
Iván P. Uray United States 20 1.3k 0.9× 475 0.8× 267 0.7× 132 0.5× 204 0.8× 40 2.3k
Qiangrong Liang United States 22 2.0k 1.3× 1.1k 1.8× 175 0.5× 167 0.6× 303 1.2× 41 2.7k

Countries citing papers authored by Bo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Bo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Ding. A scholar is included among the top collaborators of Bo 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 Bo Ding. Bo 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.
Li, Xin, et al.. (2024). In-situ growth of Cs0·33WO3@ATO composite material with enhanced NIR shielding rate for energy-saving coating. Ceramics International. 50(19). 36691–36702. 3 indexed citations
2.
Huang, Rong, Ying Wang, Rengna Yan, Bo Ding, & Jianhua Ma. (2023). Sex Hormone Binding Globulin is an Independent Predictor for Insulin Resistance in Male Patients with Newly Diagnosed Type 2 Diabetes Mellitus. Diabetes Therapy. 14(10). 1627–1637. 1 indexed citations
3.
Ding, Bo, et al.. (2023). Cross‐talk of pyroptosis‐based subtypes, the development of a risk classifier and immune responses in cervical cancer. The Journal of Gene Medicine. 26(1). e3566–e3566. 3 indexed citations
4.
Sun, Rui, Yumei Zhang, Bo Ding, et al.. (2023). Time in Range Estimation in Patients with Type 2 Diabetes is Improved by Incorporating Fasting and Postprandial Glucose Levels. Diabetes Therapy. 14(8). 1373–1386. 4 indexed citations
5.
6.
Hu, Yun, Yu-Jie Bao, Ying Wang, et al.. (2023). Low Total Testosterone Levels in Men with Newly Diagnosed Early-Onset Type 2 Diabetes: A Cross-Sectional Study in China. Journal of Diabetes Research. 2023. 1–8. 3 indexed citations
7.
Tang, Yan, et al.. (2022). Crocin induces ROS-mediated papillary thyroid cancer cell apoptosis by modulating the miR-34a-5p/PTPN4 axis in vitro. Toxicology and Applied Pharmacology. 437. 115892–115892. 15 indexed citations
8.
Wang, Huiying, Yunting Zhou, Yuming Wang, et al.. (2022). Basal Insulin Reduces Glucose Variability and Hypoglycaemia Compared to Premixed Insulin in Type 2 Diabetes Patients: A Study Based on Continuous Glucose Monitoring Systems. Frontiers in Endocrinology. 13. 791439–791439. 8 indexed citations
9.
Naidu, B. Narasimhulu, Manoj Patel, Brian McAuliffe, et al.. (2022). Design, Synthesis, and Preclinical Profiling of GSK3739936 (BMS-986180), an Allosteric Inhibitor of HIV-1 Integrase with Broad-Spectrum Activity toward 124/125 Polymorphs. Journal of Medicinal Chemistry. 65(6). 4949–4971. 8 indexed citations
10.
11.
Hu, Yun, Bo Ding, Yun Shen, et al.. (2021). Rapid Changes in Serum Testosterone in Men With Newly Diagnosed Type 2 Diabetes With Intensive Insulin and Metformin. Diabetes Care. 44(4). 1059–1061. 32 indexed citations
12.
Cai, Tingting, Yun Hu, Bo Ding, et al.. (2021). Effect of Metformin on Testosterone Levels in Male Patients With Type 2 Diabetes Mellitus Treated With Insulin. Frontiers in Endocrinology. 12. 813067–813067. 30 indexed citations
13.
Huang, Rong, Tingting Cai, Yunting Zhou, et al.. (2021). Ethnicity Differences in the Association of UCP1‐3826A/G, UCP2‐866G/A and Ala55Val, and UCP3‐55C/T Polymorphisms with Type 2 Diabetes Mellitus Susceptibility: An Updated Meta‐Analysis. BioMed Research International. 2021(1). 3482879–3482879. 4 indexed citations
14.
Ruganzu, John Bosco, Xiaoqian Peng, Yingying He, et al.. (2021). Downregulation of TREM2 expression exacerbates neuroinflammatory responses through TLR4-mediated MAPK signaling pathway in a transgenic mouse model of Alzheimer’s disease. Molecular Immunology. 142. 22–36. 37 indexed citations
15.
Yan-ping, Cheng, Sheng Yang, Yang Shen, et al.. (2020). The Role of High-Risk Human Papillomavirus-Related Long Non-Coding RNAs in the Prognosis of Cervical Squamous Cell Carcinoma. DNA and Cell Biology. 39(4). 645–653. 7 indexed citations
16.
Zhang, Ying, et al.. (2016). Low 25-Hydroxyvitamin D Level Is Associated with Peripheral Arterial Disease in Type 2 Diabetes Patients. Archives of Medical Research. 47(1). 49–54. 16 indexed citations
17.
Fu, Liyuan, Jianhua Ma, Bo Ding, et al.. (2015). Survey on glucose metabolism in 2020 cases of non-endocrinology inpatients. 4(5). 279–281. 1 indexed citations
18.
Ding, Bo. (2013). Application of continuous glucose monitoring system to explore the blood glucose fluctuation model of insulinoma. China Medical Herald. 1 indexed citations
19.
Su, Xiaofei, Jin-dan Wu, Qian Li, et al.. (2010). Clinical features of 6 patients with fulminant type 1 diabetes mellitus. 2(5). 329–333.
20.
Ding, Bo, Shaoling Huang, Shiqin Zhang, & Yunxia Li. (2000). Effect of PKC-zeta mediating Ang II-stimulated activation of CCDPK on rat cardiac fibroblast proliferation.. PubMed. 21(2). 174–8. 3 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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