M. Shi

573 total citations
33 papers, 430 citations indexed

About

M. Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, M. Shi has authored 33 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in M. Shi's work include Fibroblast Growth Factor Research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). M. Shi is often cited by papers focused on Fibroblast Growth Factor Research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). M. Shi collaborates with scholars based in China, United States and Germany. M. Shi's co-authors include D B Thompson, Richard L. Prince, Aruna T. Bansal, Mark E.S. Bailey, Philip N. Sambrook, Elizabeth Thompson, Mathias Chiano, Patrick W. Kleyn, Scott G. Wilson and Peter Reed and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and ACS Applied Materials & Interfaces.

In The Last Decade

M. Shi

29 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Shi China 11 261 124 114 82 77 33 430
Anja Schmidt Germany 7 179 0.7× 26 0.2× 223 2.0× 48 0.6× 25 0.3× 19 578
Christopher S. Ontiveros United States 7 199 0.8× 86 0.7× 146 1.3× 33 0.4× 89 1.2× 8 371
Björn‐Anders Jonsson Sweden 10 214 0.8× 107 0.9× 49 0.4× 135 1.6× 57 0.7× 11 448
Shanshan Shi China 13 237 0.9× 57 0.5× 30 0.3× 59 0.7× 106 1.4× 38 420
Roby J. Jose Australia 15 126 0.5× 223 1.8× 31 0.3× 51 0.6× 39 0.5× 16 517
Peter R. T. Bowman United Kingdom 6 120 0.5× 42 0.3× 88 0.8× 61 0.7× 20 0.3× 8 353
Gill Holdsworth United Kingdom 13 305 1.2× 24 0.2× 95 0.8× 41 0.5× 23 0.3× 22 452
Kristine D. Estrada United States 8 269 1.0× 45 0.4× 27 0.2× 94 1.1× 58 0.8× 10 441
Maria Winzer Germany 9 168 0.6× 23 0.2× 69 0.6× 36 0.4× 37 0.5× 12 345

Countries citing papers authored by M. Shi

Since Specialization
Citations

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

Fields of papers citing papers by M. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Shi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Shi. A scholar is included among the top collaborators of M. 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 M. Shi. M. Shi 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.
Jiang, Siyu, Dong Yin, Long Chen, et al.. (2025). Erucin Alleviates Cardiac Hypertrophy by Improving Mitochondrial Function via Nrf2‐Sirt3 Pathway. Phytotherapy Research. 39(6). 2989–3001.
2.
Shi, M., et al.. (2025). Isomeranzin activates Gnas-AMPK signaling to drive white adipose browning and curb obesity in mice. EMBO Molecular Medicine. 18(1). 55–90.
3.
Ma, Yaping, Peng Luo, Zi‐Jian Lan, et al.. (2025). Precision-targeting and dual silencing osteoclastogenesis and inflammatory pathways for the treatment of radiation-induced bone deterioration. Biomaterials Advances. 177. 214369–214369.
4.
Zhang, Yi, et al.. (2025). Tailoring osteo-immunomodulatory micro-environments via a bioactive 3D PLA scaffold to potentiate regenerative healing. Colloids and Surfaces B Biointerfaces. 253. 114711–114711. 1 indexed citations
5.
Shi, M., et al.. (2025). Targeted Dual Microdroplets for Modulating Osteoclast Differentiation and Function: A Novel Therapeutic Approach to Combat Osteoporosis. ACS Applied Materials & Interfaces. 17(15). 22232–22244. 2 indexed citations
6.
Shi, M., et al.. (2025). Distribution law of vascular bundle stiffness in rice stems and microscale simulation. Biosystems Engineering. 250. 325–342. 1 indexed citations
7.
8.
Shi, M., Dongdong Sun, Fuming Kuang, et al.. (2024). Injury mechanisms in high-speed transplanting of over aged rice seedlings. Biosystems Engineering. 248. 142–155. 2 indexed citations
9.
Sun, Dongdong, et al.. (2024). Impact of root-stem coupling damage from mechanical transplanting on the growth of large rice seedlings. Plant Growth Regulation. 104(2). 1075–1086. 1 indexed citations
10.
Zhu, Dequan, et al.. (2023). Tool-straw-paddy soil coupling model of mechanical rotary-tillage process based on DEM-FEM. Computers and Electronics in Agriculture. 215. 108410–108410. 23 indexed citations
11.
Shi, M., Yang Wang, Juan Liao, et al.. (2023). Path tracking control method for automatic navigation rice transplanters based on VUFC and improved BAS algorithm. Robotica. 41(10). 3116–3136. 7 indexed citations
12.
Barlési, Fabrice, D.-W. Kim, Erin M. Bertino, et al.. (2019). Efficacy and safety of ceritinib in ALK-positive non-small cell lung cancer (NSCLC) patients with leptomeningeal metastases (LM): Results from the phase II, ASCEND-7 study. Annals of Oncology. 30. v143–v144. 6 indexed citations
13.
Lv, Wei, Jiajia Zheng, M. Shi, et al.. (2015). Comparing the evolutionary conservation between human essential genes, human orthologs of mouse essential genes and human housekeeping genes. Briefings in Bioinformatics. 16(6). 922–931. 11 indexed citations
14.
Wilson, P. M., Dongyun Yang, Mizutomo Azuma, et al.. (2012). Intratumoral expression profiling of genes involved in angiogenesis in colorectal cancer patients treated with chemotherapy plus the VEGFR inhibitor PTK787/ZK 222584 (vatalanib). The Pharmacogenomics Journal. 13(5). 410–416. 16 indexed citations
15.
Giatromanolaki, Alexandra, Michael I. Koukourakis, Efthimios Sivridis, et al.. (2012). Vascular density analysis in colorectal cancer patients treated with vatalanib (PTK787/ZK222584) in the randomised CONFIRM trials. British Journal of Cancer. 107(7). 1044–1050. 16 indexed citations
16.
Milowsky, Mathew I., et al.. (2011). A multicenter, open-label phase II trial of dovitinib (TKI258) in advanced urothelial carcinoma patients with either mutated or wild-type FGFR3.. Journal of Clinical Oncology. 29(15_suppl). TPS186–TPS186. 7 indexed citations
17.
Wei, Ping, et al.. (2009). Effects of glucokinase activators GKA50 and LY2121260 on proliferation and apoptosis in pancreatic INS-1 beta cells. Diabetologia. 52(10). 2142–2150. 36 indexed citations
18.
Shi, M., Jason Chesney, Mona Motwani, et al.. (2009). Effect of TKI258 on plasma biomarkers and pharmcokinetics in patients with advanced melanoma. Journal of Clinical Oncology. 27(15_suppl). 9020–9020. 5 indexed citations
19.
Koukourakis, Michael I., Alexandra Giatromanolaki, Efthimios Sivridis, et al.. (2007). Intratumoral lactate dehydrogenase 5 (LDH5) protein expression is associated with expression of angiogenesis markers and hypoxia in patients with colorectal cancer (CRC). Journal of Clinical Oncology. 25(18_suppl). 4107–4107. 3 indexed citations
20.
Wilson, Scott G., Peter Reed, Aruna T. Bansal, et al.. (2003). Comparison of Genome Screens for Two Independent Cohorts Provides Replication of Suggestive Linkage of Bone Mineral Density to 3p21 and 1p36. The American Journal of Human Genetics. 72(1). 144–155. 119 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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