Gary Zhai

905 total citations
10 papers, 747 citations indexed

About

Gary Zhai is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gary Zhai has authored 10 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gary Zhai's work include Cancer-related Molecular Pathways (3 papers), Cell death mechanisms and regulation (2 papers) and RNA modifications and cancer (2 papers). Gary Zhai is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Cell death mechanisms and regulation (2 papers) and RNA modifications and cancer (2 papers). Gary Zhai collaborates with scholars based in United States, Canada and Netherlands. Gary Zhai's co-authors include Arnab Chakravarti, Jay S. Loeffler, Peter M. Black, Alona Muzikansky, Yoshiyuki Suzuki, Pierre A. Robe, Meaghan A. Delaney, Ulf Nestler, Qinhui Song and Rajeev Malhotra and has published in prestigious journals such as Journal of Clinical Oncology, Biochemistry and Oncogene.

In The Last Decade

Gary Zhai

10 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Zhai United States	8	516	204	177	174	79	10	747
Amit J. Sabnis United States	13	562 1.1×	86 0.4×	113 0.6×	245 1.4×	55 0.7×	32	951
Jo Ishizawa United States	18	664 1.3×	89 0.4×	129 0.7×	248 1.4×	48 0.6×	65	892
Magali Herrant France	10	637 1.2×	106 0.5×	95 0.5×	200 1.1×	75 0.9×	11	883
GP Margison United Kingdom	16	686 1.3×	200 1.0×	217 1.2×	254 1.5×	43 0.5×	21	888
Sandeep Nambiar Germany	14	674 1.3×	71 0.3×	218 1.2×	344 2.0×	92 1.2×	26	948
Anne Fassl Germany	15	579 1.1×	114 0.6×	253 1.4×	323 1.9×	64 0.8×	22	921
Huibo Wang China	20	834 1.6×	121 0.6×	466 2.6×	214 1.2×	59 0.7×	32	1.1k
Yeup Yoon South Korea	10	283 0.5×	230 1.1×	164 0.9×	178 1.0×	30 0.4×	15	577
Anuhar Chaturvedi Germany	18	665 1.3×	251 1.2×	167 0.9×	127 0.7×	25 0.3×	33	1.1k
Megan J. Bywater Australia	12	1.1k 2.1×	71 0.3×	149 0.8×	278 1.6×	59 0.7×	24	1.3k

Countries citing papers authored by Gary Zhai

Since Specialization

Citations

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

Fields of papers citing papers by Gary Zhai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Zhai

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

All Works

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10 of 10 papers shown

1.

Zhai, Gary, et al.. (2010). An RNA Aptamer with High Affinity and High Specificity for the 5S RNA Binding Zinc Finger Proteins TFIIIA and p43. Biochemistry. 49(8). 1755–1765. 1 indexed citations

2.

Zhai, Gary, et al.. (2010). An RNA Aptamer with High Affinity and Broad Specificity for Zinc Finger Proteins. Biochemistry. 49(12). 2732–2740. 8 indexed citations

3.

Alvarez, James V., Neelanjan Mukherjee, Arnab Chakravarti, et al.. (2007). A STAT3 Gene Expression Signature in Gliomas is Associated with a Poor Prognosis. PubMed. 2. 99–105. 21 indexed citations

4.

Zhai, Gary, Rajeev Malhotra, Meaghan A. Delaney, et al.. (2005). Radiation Enhances the Invasive Potential of Primary Glioblastoma Cells via Activation of the Rho Signaling Pathway. Journal of Neuro-Oncology. 76(3). 227–237. 95 indexed citations

5.

Chakravarti, Arnab, Michelle DeSilvio, M. Zhang, et al.. (2005). The Prognostic Value of p16 Expression in Locally Advanced Prostate Cancer: A Study Based on RTOG 92-02. International Journal of Radiation Oncology*Biology*Physics. 63. S17–S18. 1 indexed citations

6.

Chakravarti, Arnab, Gary Zhai, Min Zhang, et al.. (2004). Survivin enhances radiation resistance in primary human glioblastoma cells via caspase-independent mechanisms. Oncogene. 23(45). 7494–7506. 182 indexed citations

7.

Chakravarti, Arnab, Gary Zhai, Yoshiyuki Suzuki, et al.. (2004). The Prognostic Significance of Phosphatidylinositol 3-Kinase Pathway Activation in Human Gliomas. Journal of Clinical Oncology. 22(10). 1926–1933. 310 indexed citations

8.

Semret, Makeda, Gary Zhai, Serge Mostowy, et al.. (2004). Extensive Genomic Polymorphism within Mycobacterium avium. Journal of Bacteriology. 186(18). 6332–6334. 58 indexed citations

9.

Chakravarti, Arnab & Gary Zhai. (2003). Molecular and genetic prognostic factors of prostate cancer. World Journal of Urology. 21(4). 265–274. 18 indexed citations

10.

Zhai, Gary, et al.. (2001). Characterization of RNA Aptamer Binding by the Wilms' Tumor Suppressor Protein WT1. Biochemistry. 40(7). 2032–2040. 53 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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