Jinmin Miao

1.5k total citations
22 papers, 1.1k citations indexed

About

Jinmin Miao is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Jinmin Miao has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Rheumatology. Recurrent topics in Jinmin Miao's work include Protein Tyrosine Phosphatases (12 papers), Galectins and Cancer Biology (7 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). Jinmin Miao is often cited by papers focused on Protein Tyrosine Phosphatases (12 papers), Galectins and Cancer Biology (7 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). Jinmin Miao collaborates with scholars based in United States, Finland and Japan. Jinmin Miao's co-authors include Albert de la Chapelle, Reijo Norio, Marjaleena Koskiniemi, Kimmo Virtaneva, R Myers, L Pennacchio, Elena D’Amato, Anna‐Elina Lehesjoki, David R. Cox and Janet A. Warrington and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Jinmin Miao

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinmin Miao United States	13	578	408	307	151	136	22	1.1k
Leonarda Ianzano Italy	21	696 1.2×	702 1.7×	647 2.1×	215 1.4×	63 0.5×	26	1.4k
Rachael Daniel United States	9	798 1.4×	606 1.5×	67 0.2×	313 2.1×	161 1.2×	10	1.4k
Sandra Meulemans Belgium	19	470 0.8×	201 0.5×	67 0.2×	58 0.4×	94 0.7×	29	1.0k
Brian Niland United States	13	467 0.8×	92 0.2×	368 1.2×	250 1.7×	283 2.1×	18	1.4k
Suma P. Shankar United States	21	833 1.4×	180 0.4×	144 0.5×	54 0.4×	90 0.7×	71	1.5k
R.S. Sparkes United States	16	484 0.8×	373 0.9×	133 0.4×	40 0.3×	71 0.5×	32	978
Violaine Harris United States	20	953 1.6×	88 0.2×	80 0.3×	89 0.6×	154 1.1×	31	1.5k
Rıza Köksal Özgül Türkiye	17	457 0.8×	194 0.5×	77 0.3×	50 0.3×	124 0.9×	69	873
Helen Travers United Kingdom	11	448 0.8×	75 0.2×	154 0.5×	254 1.7×	333 2.4×	16	905
John P. Grady United Kingdom	22	1.1k 1.9×	105 0.3×	47 0.2×	117 0.8×	208 1.5×	51	1.4k

Countries citing papers authored by Jinmin Miao

Since Specialization

Citations

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

Fields of papers citing papers by Jinmin Miao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinmin Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinmin Miao. A scholar is included among the top collaborators of Jinmin Miao 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 Jinmin Miao. Jinmin Miao 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

1.

Bai, Yunpeng, Jinmin Miao, Jianping Lin, et al.. (2024). Off-target autophagy inhibition by SHP2 allosteric inhibitors contributes to their antitumor activity in RAS-driven cancers. Journal of Clinical Investigation. 134(15). 5 indexed citations

2.

Bai, Yunpeng, et al.. (2024). Structure-activity relationship studies and design of a PTPN22 inhibitor with enhanced isozyme selectivity and cellular efficacy. European Journal of Medicinal Chemistry. 283. 117129–117129. 1 indexed citations

3.

Miao, Jinmin & Zhong‐Yin Zhang. (2024). Drugging Protein Tyrosine Phosphatases through Targeted Protein Degradation. ChemMedChem. 19(7). e202300669–e202300669. 1 indexed citations

4.

Dong, Jiajun, Zihan Qu, Yunpeng Bai, et al.. (2024). Development of Novel Phosphonodifluoromethyl-Containing Phosphotyrosine Mimetics and a First-In-Class, Potent, Selective, and Bioavailable Inhibitor of Human CDC14 Phosphatases. Journal of Medicinal Chemistry. 67(11). 8817–8835. 2 indexed citations

5.

Miao, Jinmin, Yunpeng Bai, Zihan Qu, et al.. (2023). Discovery of a SHP2 Degrader with In Vivo Anti-Tumor Activity. Molecules. 28(19). 6947–6947. 8 indexed citations

6.

Dong, Jiajun, Jinmin Miao, Zihan Qu, et al.. (2023). Small Molecule Degraders of Protein Tyrosine Phosphatase 1B and T‐Cell Protein Tyrosine Phosphatase for Cancer Immunotherapy. Angewandte Chemie. 135(22). 1 indexed citations

7.

Bai, Yunpeng, Colin Carlock, Jinan Ayub, et al.. (2023). Inhibition of PRL2 Upregulates PTEN and Attenuates Tumor Growth in Tp53 -deficient Sarcoma and Lymphoma Mouse Models. Cancer Research Communications. 4(1). 5–17. 4 indexed citations

8.

Dong, Jiajun, Jinmin Miao, Zihan Qu, et al.. (2023). Small Molecule Degraders of Protein Tyrosine Phosphatase 1B and T‐Cell Protein Tyrosine Phosphatase for Cancer Immunotherapy. Angewandte Chemie International Edition. 62(22). e202303818–e202303818. 34 indexed citations

9.

Chen, Hao, Gregory M. Cresswell, Sarah Libring, et al.. (2022). Tumor Cell–Autonomous SHP2 Contributes to Immune Suppression in Metastatic Breast Cancer. Cancer Research Communications. 2(10). 1104–1118. 6 indexed citations

10.

Wang, Xu, Chao Yang, Xuejie Wang, et al.. (2022). Driving axon regeneration by orchestrating neuronal and non-neuronal innate immune responses via the IFNγ-cGAS-STING axis. Neuron. 111(2). 236–255.e7. 49 indexed citations

11.

Chen, Hao, Sarah Libring, Jinmin Miao, et al.. (2020). SHP2 is a multifunctional therapeutic target in drug resistant metastatic breast cancer. Oncogene. 39(49). 7166–7180. 42 indexed citations

12.

Kano, Yoshihito, Teklab Gebregiworgis, Christopher B. Marshall, et al.. (2019). Tyrosyl phosphorylation of KRAS stalls GTPase cycle via alteration of switch I and II conformation. Nature Communications. 10(1). 224–224. 79 indexed citations

13.

Zhang, Ruo-Yu, Zhi-Hong Yu, Li‐Fan Zeng, et al.. (2016). SHP2 phosphatase as a novel therapeutic target for melanoma treatment. Oncotarget. 7(45). 73817–73829. 45 indexed citations

14.

Miao, Jinmin. (2003). Sequence variants of the Axin gene in hepatoblastoma. Hepatology Research. 25(2). 174–179. 22 indexed citations

15.

Miao, Jinmin, et al.. (2002). Axin, the main component of the Wnt signaling pathway, is not mutated in kidney tumors in children. International Journal of Molecular Medicine. 9(4). 377–9. 3 indexed citations

16.

Kusafuka, Takeshi, et al.. (2001). High frequency of β-catenin mutations in hepatoblastoma. Pediatric Surgery International. 17(7). 508–512. 58 indexed citations

17.

Virtaneva, Kimmo, Elena D’Amato, Jinmin Miao, et al.. (1997). Unstable minisatellite expansion causing recessively inherited myoclonus epilepsy, EPM1. Nature Genetics. 15(4). 393–396. 152 indexed citations

18.

Virtaneva, Kimmo, Jinmin Miao, Nancy Stone, et al.. (1996). Progressive myoclonus epilepsy EPM1 locus maps to a 175-kb interval in distal 21q.. PubMed. 58(6). 1247–53. 28 indexed citations

19.

Pennacchio, L, Anna‐Elina Lehesjoki, Nancy Stone, et al.. (1996). Mutations in the Gene Encoding Cystatin B in Progressive Myoclonus Epilepsy (EPM1). Science. 271(5256). 1731–1734. 418 indexed citations

20.

Lehesjoki, A.-E., Marjaleena Koskiniemi, P. Sistonen, et al.. (1991). Localization of a gene for progressive myoclonus epilepsy to chromosome 21q22.. Proceedings of the National Academy of Sciences. 88(9). 3696–3699. 118 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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