Y. Eric Shi

9.5k total citations
19 papers, 1.1k citations indexed

About

Y. Eric Shi is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Y. Eric Shi has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Y. Eric Shi's work include Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Y. Eric Shi is often cited by papers focused on Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Y. Eric Shi collaborates with scholars based in United States, China and Netherlands. Y. Eric Shi's co-authors include Yangfu Jiang, Itzhak D. Goldberg, Jingwen Liu, Qing‐Xiang Amy Sang, I D Goldberg, Mahmut Celiker, M. Wang, Danqing Song, Jian‐Dong Jiang and Satoru Inaba and has published in prestigious journals such as The Journal of Chemical Physics, Cancer Research and Oncogene.

In The Last Decade

Y. Eric Shi

16 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
Y. Eric Shi United States	12	525	510	424	122	120	19	1.1k
Mary M. Vaughan United States	17	224 0.4×	497 1.0×	370 0.9×	49 0.4×	46 0.4×	27	1.0k
Michael N. VanSaun United States	22	359 0.7×	721 1.4×	500 1.2×	37 0.3×	27 0.2×	41	1.6k
Yoshiji Miyazaki Japan	27	291 0.6×	797 1.6×	408 1.0×	44 0.4×	70 0.6×	47	1.8k
Bernardo Tavora United Kingdom	14	528 1.0×	921 1.8×	259 0.6×	40 0.3×	249 2.1×	16	1.4k
Simona Minghelli Italy	19	201 0.4×	556 1.1×	530 1.3×	48 0.4×	83 0.7×	23	1.5k
Noritaka Yamaguchi Japan	19	318 0.6×	790 1.5×	366 0.9×	38 0.3×	33 0.3×	53	1.2k
Sean Garrison United States	10	142 0.3×	595 1.2×	354 0.8×	86 0.7×	26 0.2×	13	970
Valentina Folgiero Italy	19	159 0.3×	471 0.9×	320 0.8×	88 0.7×	98 0.8×	33	970
Subbulakshmi Virudachalam United States	18	274 0.5×	705 1.4×	381 0.9×	73 0.6×	28 0.2×	21	1.2k
Scott Wise United States	17	161 0.3×	660 1.3×	293 0.7×	157 1.3×	23 0.2×	43	1.2k

Countries citing papers authored by Y. Eric Shi

Since Specialization

Citations

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

Fields of papers citing papers by Y. Eric Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Eric Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Eric Shi. A scholar is included among the top collaborators of Y. Eric 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 Y. Eric Shi. Y. Eric 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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19 of 19 papers shown

Wang, Jiang, et al.. (2025). The alignment of graphene flakes by electric field: A molecular dynamics simulation study. The Journal of Chemical Physics. 163(14).

Chen, Long, Zhaohua Cai, Y. Eric Shi, et al.. (2025). SENP3 Drives Abdominal Aortic Aneurysm Development by Regulating Ferroptosis via De‐SUMOylation of CTH. Advanced Science. 12(16). e2414500–e2414500. 1 indexed citations

Shi, Y. Eric, et al.. (2025). Treatment and Outcomes of Primary Tracheal Adenoid Cystic Carcinoma: A Systematic Review. Cancer Management and Research. Volume 17. 767–778.

Chen, Long, Y. Eric Shi, Haiping Chen, et al.. (2025). NR4A1 deficiency promotes carotid plaque vulnerability by activating integrated stress response via targeting Bcat1. Cellular and Molecular Life Sciences. 82(1). 91–91. 1 indexed citations

Shi, Y. Eric, et al.. (2025). Recent advances of antibody-drug conjugates in treating breast cancer with different HER2 status. Therapeutic Advances in Medical Oncology. 17. 12756115–12756115.

Wu, Jie, et al.. (2024). Preparation and characterization of PFMP@GE microcapsules for enhancing the safety of UV-curable polymers. Reactive and Functional Polymers. 205. 106042–106042. 1 indexed citations

Lu, Linlin, et al.. (2023). Exploring the therapeutic potential of ADC combination for triple-negative breast cancer. Cellular and Molecular Life Sciences. 80(12). 350–350. 15 indexed citations

Zhou, Yingjun, Jianguo Cao, Guangyao Zeng, et al.. (2009). Vitexins, Nature-Derived Lignan Compounds, Induce Apoptosis and Suppress Tumor Growth. Clinical Cancer Research. 15(16). 5161–5169. 123 indexed citations

Inaba, Satoru, et al.. (2005). Synuclein Gamma Inhibits the Mitotic Checkpoint Function and Promotes Chromosomal Instability of Breast Cancer Cells. Breast Cancer Research and Treatment. 94(1). 25–35. 69 indexed citations

10.

Jiang, Yangfu, Itzhak D. Goldberg, & Y. Eric Shi. (2002). Complex roles of tissue inhibitors of metalloproteinases in cancer. Oncogene. 21(14). 2245–2252. 400 indexed citations

11.

Hurst, Douglas R., Hui Li, Xinyun Xu, et al.. (2001). Development and Characterization of a New Polyclonal Antibody Specifically against Tissue Inhibitor of Metalloproteinases 4 in Human Breast Cancer. Biochemical and Biophysical Research Communications. 281(1). 166–171. 14 indexed citations

12.

Celiker, Mahmut, Eva Atsidaftos, Yangfu Jiang, et al.. (2001). Inhibition of Wilms' tumor growth by intramuscular administration of tissue inhibitor of metalloproteinases-4 plasmid DNA. Oncogene. 20(32). 4337–4343. 53 indexed citations

13.

Jiang, Yangfu, et al.. (2001). Stimulation of mammary tumorigenesis by systemic tissue inhibitor of matrix metalloproteinase 4 gene delivery.. PubMed. 61(6). 2365–70. 90 indexed citations

14.

Wang, Ming‐Sheng, Yiliang E. Liu, Jian Ni, et al.. (2000). Induction of mammary differentiation by mammary-derived growth inhibitor-related gene that interacts with an omega-3 fatty acid on growth inhibition of breast cancer cells.. PubMed. 60(22). 6482–7. 39 indexed citations

15.

Liu, Jingwen, et al.. (1999). Stimulation of breast cancer invasion and metastasis by synuclein gamma.. PubMed. 59(3). 742–7. 139 indexed citations

16.

Shi, Y. Eric. (1998). Correspondence re: Y. E. Shi et al., Antitumor Activity of the Novel Human Breast Cancer Growth Inhibitor, Mammary-derived Growth Inhibitor-related Gene, MRG. Cancer Res., 57: 3084–3091, 1997—Reply. Cancer Research. 58(17). 4016–4017. 1 indexed citations

17.

Shi, Y. Eric, et al.. (1997). Computational Sequence Analysis of the Tissue Inhibitor of Metalloproteinase Family. Journal of Protein Chemistry. 16(4). 237–255. 86 indexed citations

18.

Shi, Y. Eric, Jian Ni, Yiliang E. Liu, et al.. (1997). Antitumor activity of the novel human breast cancer growth inhibitor, mammary-derived growth inhibitor-related gene, MRG.. PubMed. 57(15). 3084–91. 35 indexed citations

19.

Shi, Y. Eric, et al.. (1994). Progestins and antiprogestins in mammary tumour growth and metastasis. Human Reproduction. 9(suppl 1). 162–173. 37 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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