Ping Shi

1.6k total citations
77 papers, 1.2k citations indexed

About

Ping Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Ping Shi has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Genetics. Recurrent topics in Ping Shi's work include Mesenchymal stem cell research (11 papers), Wound Healing and Treatments (10 papers) and MicroRNA in disease regulation (6 papers). Ping Shi is often cited by papers focused on Mesenchymal stem cell research (11 papers), Wound Healing and Treatments (10 papers) and MicroRNA in disease regulation (6 papers). Ping Shi collaborates with scholars based in China, United States and Australia. Ping Shi's co-authors include József Gál, Haining Zhu, David M. Kwinter, Xining Pang, Xiaoyan Liu, Feng Zhao, Anna‐Lena Ström, Weisi Fu, Marie W. Wooten and Jiayu Zhang and has published in prestigious journals such as Blood, PLoS ONE and Neurology.

In The Last Decade

Ping Shi

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Shi China	18	434	257	223	168	148	77	1.2k
Satoshi Nakamizo Japan	24	423 1.0×	209 0.8×	255 1.1×	122 0.7×	124 0.8×	62	1.9k
John Chapin United States	14	260 0.6×	121 0.5×	152 0.7×	87 0.5×	93 0.6×	26	1.2k
Roberta Lotti Italy	18	313 0.7×	126 0.5×	190 0.9×	50 0.3×	48 0.3×	55	1.1k
Rui-Li Wei China	25	359 0.8×	210 0.8×	46 0.2×	182 1.1×	165 1.1×	130	2.2k
Laurent Ramont France	22	740 1.7×	107 0.4×	66 0.3×	118 0.7×	110 0.7×	58	1.7k
Youliang Wang China	20	696 1.6×	57 0.2×	103 0.5×	304 1.8×	107 0.7×	44	1.5k
Li Teng China	20	435 1.0×	66 0.3×	54 0.2×	89 0.5×	297 2.0×	85	1.4k
Melissa Mantelli Italy	15	325 0.7×	39 0.2×	229 1.0×	47 0.3×	191 1.3×	28	838
Valentin P. Yakubenko United States	28	528 1.2×	57 0.2×	67 0.3×	164 1.0×	139 0.9×	44	2.0k

Countries citing papers authored by Ping Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ping Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Shi

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

All Works

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20 of 20 papers shown

Yu, Yue, Ling Liang, Haiying Lu, et al.. (2024). Micro/Nanomotor‐Driven Intelligent Targeted Delivery Systems: Dynamics Sources and Frontier Applications. Advanced Healthcare Materials. 13(27). e2400163–e2400163. 16 indexed citations

Wang, Lingling, et al.. (2023). Assessing vaccine effectiveness for varicella in Wuxi, China: a time-series analysis. Annals of Medicine. 55(2). 2246369–2246369. 7 indexed citations

Shi, Ping, et al.. (2022). Clinicopathological features and prognosis of papillary thyroid cancer patients with type 2 diabetes mellitus. Gland Surgery. 11(2). 358–368. 3 indexed citations

Goldschmidt, Jerome H., et al.. (2022). Trilaciclib Use and Chemotherapy-Induced Myelosuppression Among Patients with ES- SCLC in US Community Oncology Settings. 2(Supplement 2). 1 indexed citations

Shi, Ping, et al.. (2022). A protective factor against lymph node metastasis of papillary thyroid cancer: Female gender. Auris Nasus Larynx. 50(3). 440–449. 2 indexed citations

Shi, Ping, et al.. (2021). Cervical carcinoma high-expressed long non-coding RNA 1 promotes papillary thyroid carcinoma cell proliferation and invasion. Translational Cancer Research. 10(9). 4158–4168. 1 indexed citations

Liu, Yan, Ping Shi, Zhen Zhao, et al.. (2021). Long non-coding RNA GHET1 promotes thyroid cancer cell proliferation and invasion. Translational Cancer Research. 10(9). 4148–4157. 2 indexed citations

Gao, Yumeng, Yu-Jung Chen, Ping Shi, et al.. (2020). The Effect of Ambient Temperature on Infectious Diarrhea and Diarrhea-like Illness in Wuxi, China. Disaster Medicine and Public Health Preparedness. 16(2). 583–589. 11 indexed citations

Shi, Ping, et al.. (2020). DiR-labeled tolerogenic dendritic cells for targeted imaging in collagen- induced arthritis rats. International Immunopharmacology. 91. 107273–107273. 8 indexed citations

10.

Shi, Ping, et al.. (2019). Impact of platelet-rich fibrin on mandibular third molar surgery recovery: a systematic review and meta-analysis. BMC Oral Health. 19(1). 163–163. 53 indexed citations

11.

Zhao, Feng, Tao Zhang, Xiaoyu Liu, et al.. (2017). MicroRNA-149 contributes to scarless wound healing by attenuating inflammatory response. Molecular Medicine Reports. 16(2). 2156–2162. 28 indexed citations

12.

Jiang, Fang‐Xu, et al.. (2016). In vitro reprogramming of rat bmMSCs into pancreatic endocrine-like cells. In Vitro Cellular & Developmental Biology - Animal. 53(2). 157–166. 10 indexed citations

13.

Li, Yongshu, et al.. (2015). Analytical performance of high-sensitivity cardiac troponin I detection by VITROS ECIQ with enhanced chemiluminescence method. Zhonghua jianyan yixue zazhi. 38(7). 461–465.

14.

Xu, Zhiyuan, et al.. (2013). Functionalized Graphene Oxide as a Nanocarrier for Loading and Delivering of Eriocalyxin B. Chinese Journal of Organic Chemistry. 33(10). 2162–2162. 1 indexed citations

15.

Jiang, Fang‐Xu, et al.. (2012). In vitro reprogramming of rat bone marrow-derived mesenchymal stem cells into insulin-producing cells by genetically manipulating negative and positive regulators. Biochemical and Biophysical Research Communications. 420(4). 793–798. 16 indexed citations

16.

Zhu, Haining, Jun Zhao, József Gál, et al.. (2011). EMMPRIN regulates cytoskeleton reorganization and cell adhesion in prostate cancer. The Prostate. 72(1). 72–81. 20 indexed citations

17.

Wang, Wei, Yang-feng Wu, Dong Zhao, et al.. (2010). [Distribution characteristics and risk factors of carotid atherosclerosis in middle-aged and elderly Chinese].. PubMed. 38(6). 553–7. 10 indexed citations

18.

Shi, Ping, Yanming Wei, Jiayu Zhang, József Gál, & Haining Zhu. (2010). Mitochondrial Dysfunction is a Converging Point of Multiple Pathological Pathways in Amyotrophic Lateral Sclerosis. Journal of Alzheimer s Disease. 20(s2). S311–S324. 70 indexed citations

19.

Shi, Ping, József Gál, David M. Kwinter, Xiaoyan Liu, & Haining Zhu. (2009). Mitochondrial dysfunction in amyotrophic lateral sclerosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1802(1). 45–51. 175 indexed citations

20.

Lü, Min, et al.. (2004). [Hypertension and subclinical carotid atherosclerosis in a general population of a rural areas in China].. PubMed. 25(10). 841–4. 1 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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