Shi Yu Zhang

495 total citations
9 papers, 437 citations indexed

About

Shi Yu Zhang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Shi Yu Zhang has authored 9 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Shi Yu Zhang's work include Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). Shi Yu Zhang is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). Shi Yu Zhang collaborates with scholars based in United States, China and Spain. Shi Yu Zhang's co-authors include Andres J. Klein–Szanto, Tamra Goodrow, John A. Ridge, Edward R. Sauter, Tsutomu Nobori, Shin‐ichiro Mitsunaga, Dennis A. Carson, James S. Babb, D. Gale Johnson and Xu Guo and has published in prestigious journals such as Molecular Carcinogenesis, Journal of Bioactive and Compatible Polymers and PubMed.

In The Last Decade

Shi Yu Zhang

9 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shi Yu Zhang United States	7	293	273	111	54	44	9	437
Öonagh Loughran United Kingdom	7	251 0.9×	308 1.1×	89 0.8×	24 0.4×	23 0.5×	8	464
Janet Benefield United States	8	270 0.9×	180 0.7×	90 0.8×	30 0.6×	25 0.6×	11	545
Jonas Ecker Germany	7	232 0.8×	291 1.1×	102 0.9×	59 1.1×	24 0.5×	11	488
Natascha Cremers Germany	11	290 1.0×	239 0.9×	137 1.2×	63 1.2×	41 0.9×	12	516
Amol N.S. Rakkar United States	7	298 1.0×	269 1.0×	76 0.7×	42 0.8×	75 1.7×	9	484
Gilda P. Chau United States	12	392 1.3×	399 1.5×	123 1.1×	38 0.7×	21 0.5×	16	553
C Mazeau France	8	170 0.6×	230 0.8×	94 0.8×	68 1.3×	23 0.5×	16	399
Janet I. Lee United States	8	191 0.7×	502 1.8×	104 0.9×	168 3.1×	53 1.2×	8	636
Theresa L. Whiteside United States	10	277 0.9×	207 0.8×	65 0.6×	31 0.6×	20 0.5×	13	650
S. Oriana Italy	9	276 0.9×	138 0.5×	138 1.2×	54 1.0×	35 0.8×	18	422

Countries citing papers authored by Shi Yu Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Shi Yu Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Yu Zhang

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

All Works

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9 of 9 papers shown

1.

Zhang, Hao, et al.. (2024). Predicting Acute Mountain Sickness Using Regional Sea-Level Cerebral Blood Flow.. PubMed. 37(8). 887–896. 1 indexed citations

2.

Yang, Ning, et al.. (2017). Sinomenine-loaded microcapsules fabricated by phase reversion emulsification-drying in liquid method: An evaluation of process parameters, characterization, and released properties. Journal of Bioactive and Compatible Polymers. 33(4). 382–396. 9 indexed citations

3.

Bassi, Daniela, et al.. (2002). Overexpression of cyclin D2 is associated with increased in vivo invasiveness of human squamous carcinoma cells. Molecular Carcinogenesis. 34(3). 131–139. 34 indexed citations

4.

Mercapide, Javier, Shi Yu Zhang, Xing Fan, et al.. (2002). CCND1‐ and ERBB2‐gene deregulation and PTEN mutation analyses in invasive lobular carcinoma of the breast. Molecular Carcinogenesis. 35(1). 6–12. 12 indexed citations

5.

Liu, Shaochen, Shi Yu Zhang, James S. Babb, John A. Ridge, & Andres J. Klein–Szanto. (2001). Image cytometry of cyclin D1: a prognostic marker for head and neck squamous cell carcinomas.. PubMed. 10(5). 455–9. 6 indexed citations

6.

Zhang, Shi Yu, et al.. (2000). E2F-1 gene transfer enhances invasiveness of human head and neck carcinoma cell lines.. PubMed. 60(21). 5972–6. 46 indexed citations

7.

Zhang, Shi Yu, et al.. (2000). E2F-1: a proliferative marker of breast neoplasia.. PubMed. 9(4). 395–401. 86 indexed citations

8.

Zhang, Shi Yu, et al.. (1997). Increased expression of G1 cyclins and cyclin-dependent kinases during tumor progression of chemically induced mouse skin neoplasms.. PubMed. 18(3). 142–52. 33 indexed citations

9.

Zhang, Shi Yu, Andres J. Klein–Szanto, Edward R. Sauter, et al.. (1994). Higher frequency of alterations in the p16/CDKN2 gene in squamous cell carcinoma cell lines than in primary tumors of the head and neck.. PubMed. 54(19). 5050–3. 210 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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