Gang Zhao

12.0k total citations · 3 hit papers
404 papers, 9.0k citations indexed

About

Gang Zhao is a scholar working on Biomedical Engineering, Public Health, Environmental and Occupational Health and Mechanics of Materials. According to data from OpenAlex, Gang Zhao has authored 404 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Biomedical Engineering, 53 papers in Public Health, Environmental and Occupational Health and 45 papers in Mechanics of Materials. Recurrent topics in Gang Zhao's work include Reproductive Biology and Fertility (52 papers), Stellar, planetary, and galactic studies (32 papers) and 3D Printing in Biomedical Research (27 papers). Gang Zhao is often cited by papers focused on Reproductive Biology and Fertility (52 papers), Stellar, planetary, and galactic studies (32 papers) and 3D Printing in Biomedical Research (27 papers). Gang Zhao collaborates with scholars based in China, United States and Germany. Gang Zhao's co-authors include Marco Wieland, Xiaoming He, Pierre Claver Uzabakiriho, Tie Chang, Zvi Schwartz, Barbara D. Boyan, David L. Cochran, Jürgen Geis‐Gerstorfer, Frank Rupp and Zhongrong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Gang Zhao

370 papers receiving 8.8k citations

Hit Papers

High surface energy enhances cell response to titanium su... 2005 2026 2012 2019 2005 2021 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Zhao China 46 4.3k 1.3k 1.3k 1.2k 870 404 9.0k
Sang Soo Kim South Korea 46 2.7k 0.6× 880 0.7× 1.4k 1.1× 1.7k 1.5× 1.4k 1.6× 297 8.6k
Jan de Boer Netherlands 56 4.7k 1.1× 2.6k 2.0× 2.0k 1.6× 3.7k 3.2× 360 0.4× 266 11.7k
Mario Moisés Álvarez Mexico 42 4.6k 1.1× 677 0.5× 1.3k 1.0× 1.3k 1.1× 392 0.5× 150 7.7k
Valery V. Tuchin Russia 62 12.1k 2.8× 938 0.7× 798 0.6× 1.6k 1.3× 1.4k 1.6× 972 19.3k
Utkan Demirci United States 78 11.6k 2.7× 1.1k 0.8× 1.4k 1.1× 4.0k 3.4× 712 0.8× 266 16.4k
Eric R. Dufresne United States 56 4.6k 1.1× 420 0.3× 902 0.7× 1.8k 1.6× 2.5k 2.9× 153 13.0k
Boris N. Chichkov Germany 83 16.6k 3.8× 658 0.5× 1.0k 0.8× 1.1k 1.0× 3.8k 4.3× 458 24.7k
Paolo A. Netti Italy 68 8.6k 2.0× 1.6k 1.2× 4.7k 3.7× 3.3k 2.8× 1.6k 1.8× 494 17.9k
Daniel A. Hammer United States 71 5.4k 1.2× 678 0.5× 3.1k 2.5× 6.6k 5.6× 2.2k 2.6× 279 21.0k
John C. Bischof United States 59 4.9k 1.1× 1.3k 1.0× 1.4k 1.1× 2.7k 2.3× 1.5k 1.7× 349 12.0k

Countries citing papers authored by Gang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Gang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Zhao. A scholar is included among the top collaborators of Gang Zhao 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 Gang Zhao. Gang Zhao 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.
Ding, Zhongxiang, Shixuan Yang, Chengshan Wang, et al.. (2025). Ice–Water Interfacial SERS/SEIRAS Reveals Novel Antifreeze Peptide Icing Inhibition Dynamics at the Molecular Level. Nano Letters. 25(40). 14608–14617.
2.
Zhang, Mingshuai, Mei Luo, Gang Zhao, & Hongyu Wang. (2025). Nickel‐Catalyzed Regioselective and Enantioselective Olefin–Aldehyde Cross‐Couplings Toward Acyloin Isosteres. Angewandte Chemie International Edition. 64(37). e202510690–e202510690.
3.
Zhang, Mingshuai, Mei Luo, Gang Zhao, & Hongyu Wang. (2025). Nickel‐Catalyzed Regioselective and Enantioselective Olefin–Aldehyde Cross‐Couplings Toward Acyloin Isosteres. Angewandte Chemie. 137(37).
4.
Zhang, Bing, et al.. (2025). Advances in electrospun nanofiber-based electronic skin for smart sensing and energy harvesting. SHILAP Revista de lepidopterología. 2(1).
5.
Huang, Zhiyu, Hong Jiang, Zhijia Dong, et al.. (2024). “Bamboo-like” strong and tough sodium alginate/polyacrylate hydrogel fiber with directional controlled release for wound healing promotion. Carbohydrate Polymers. 347. 122761–122761. 15 indexed citations
7.
Zhang, Lili, Jian Cui, Qi An, et al.. (2023). Small extrachromosomal circular DNAs as biomarkers for multi‐cancer diagnosis and monitoring. Clinical and Translational Medicine. 13(9). e1393–e1393. 19 indexed citations
8.
Li, Si, et al.. (2022). Morphology analysis of unlabeled red blood cells based on quantitative differential phase contrast microscopy. Cytometry Part A. 101(8). 648–657. 9 indexed citations
9.
Liu, Huilan, et al.. (2022). The Natural Cryoprotectant Honey for Fertility Cryopreservation. Bioengineering. 9(3). 88–88. 7 indexed citations
11.
Zhong, Jiayong, et al.. (2021). Reconnection rate and multi-scale relativistic magnetic reconnection driven by ultra-intense lasers. Plasma Physics and Controlled Fusion. 63(8). 85012–85012. 4 indexed citations
13.
Shu, Zhiquan, Sean M. Hughes, Gang Zhao, et al.. (2016). Determination of the Membrane Permeability to Water of Human Vaginal Mucosal Immune Cells at Subzero Temperatures Using Differential Scanning Calorimetry. Biopreservation and Biobanking. 14(4). 307–313. 9 indexed citations
14.
Zhao, Gang, et al.. (2016). Design of a New Type of Nb-W Alloy and Its High-temperature Oxidation Resistance Coating Used in the Field of Spacecraft Engineormalsize. Chinese Journal of Space Science. 36(1). 99–99. 3 indexed citations
15.
Liu, Xiaoli, Gang Zhao, Zhiquan Shu, et al.. (2016). Quantification of Intracellular Ice Formation and Recrystallization During Freeze–Thaw Cycles and Their Relationship with the Viability of Pig Iliac Endothelium Cells. Biopreservation and Biobanking. 14(6). 511–519. 8 indexed citations
16.
Li, Lei, Cai Gao, Gang Zhao, et al.. (2016). Comparative Study on Two Different Methods for Determination of Hydraulic Conductivity of HeLa Cells During Freezing. Biopreservation and Biobanking. 14(6). 491–498. 1 indexed citations
17.
Zhang, Yuntian, Gang Zhao, Jingru Yi, et al.. (2015). Comparison of the Fitting Validity Between the 2P Model and the Nondilute Solution Model Using Statistical Methods in Modeling Cell Membrane Permeabilities. Biopreservation and Biobanking. 14(1). 39–44. 3 indexed citations
18.
Zhao, Gang. (2013). Design and Implementation of Network Sniffer Based on WinPcap. Computer Knowledge and Technology. 1 indexed citations
19.
Nissen, P. E., et al.. (2002). Sulphur abundances in disk stars: A correlation with silicon. Springer Link (Chiba Institute of Technology). 52 indexed citations
20.
Yongxiang, Ma, et al.. (1989). Chelate complexes of formylferrocene m-nitrobenzoylhydrazone with lanthanide. Inorganica Chimica Acta. 165(2). 185–189. 33 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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