Peter Ma

5.6k total citations · 3 hit papers
69 papers, 4.2k citations indexed

About

Peter Ma is a scholar working on Computational Mechanics, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Peter Ma has authored 69 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 22 papers in Biomedical Engineering and 16 papers in Fluid Flow and Transfer Processes. Recurrent topics in Peter Ma's work include Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (16 papers) and Heat transfer and supercritical fluids (11 papers). Peter Ma is often cited by papers focused on Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (16 papers) and Heat transfer and supercritical fluids (11 papers). Peter Ma collaborates with scholars based in United States, China and Canada. Peter Ma's co-authors include Catherine K. Kuo, Laura A. Smith Callahan, Matthias Ihme, Bo Lei, Ruiyun Zhang, Hao Wu, Juan Ge, Yi Guo, Yu Lv and Daniel T. Banuti and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Peter Ma

68 papers receiving 4.1k citations

Hit Papers

Ionically crosslinked alginate hydrogels as scaffolds for... 2001 2026 2009 2017 2001 2023 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Ma United States 28 1.8k 1.3k 853 567 451 69 4.2k
Yanping Huang China 32 1.2k 0.7× 163 0.1× 610 0.7× 310 0.5× 48 0.1× 180 3.9k
Xue‐Feng Yuan United Kingdom 24 474 0.3× 335 0.2× 1.1k 1.3× 201 0.4× 36 0.1× 70 2.8k
Amir Sanati‐Nezhad Canada 44 2.9k 1.6× 715 0.5× 159 0.2× 229 0.4× 196 0.4× 140 5.2k
Yee Cheong Lam Singapore 43 2.8k 1.6× 414 0.3× 883 1.0× 50 0.1× 358 0.8× 323 7.0k
Amir Shamloo Iran 46 3.4k 1.9× 1.1k 0.8× 239 0.3× 484 0.9× 200 0.4× 207 5.6k
Kazunori Yasuda Japan 60 2.4k 1.4× 982 0.7× 121 0.1× 6.9k 12.1× 945 2.1× 322 11.8k
Ricky D. Wildman United Kingdom 46 2.7k 1.5× 411 0.3× 1.2k 1.4× 105 0.2× 46 0.1× 211 8.8k
Zhiqiang Lin China 43 1.9k 1.0× 848 0.6× 84 0.1× 73 0.1× 123 0.3× 177 5.4k
Hua Li China 42 1.5k 0.9× 242 0.2× 386 0.5× 55 0.1× 911 2.0× 318 6.3k
Nikolaos Bouklas United States 22 720 0.4× 156 0.1× 169 0.2× 172 0.3× 286 0.6× 69 1.9k

Countries citing papers authored by Peter Ma

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ma. A scholar is included among the top collaborators of Peter Ma 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 Peter Ma. Peter Ma 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.
Rambhia, Kunal J., Hongli Sun, Kai Feng, et al.. (2024). Nanofibrous 3D scaffolds capable of individually controlled BMP and FGF release for the regulation of bone regeneration. Acta Biomaterialia. 190. 50–63. 10 indexed citations
2.
Jouppi, Norman P., George Thomas Kurian, Sheng Li, et al.. (2023). TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. 1–14. 215 indexed citations breakdown →
3.
Jouppi, Norman P., Doe Hyun Yoon, Mark Gottscho, et al.. (2021). Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product. 1–14. 199 indexed citations breakdown →
4.
Wu, Hao, Peter Ma, & Matthias Ihme. (2019). Efficient time-stepping techniques for simulating turbulent reactive flows with stiff chemistry. Computer Physics Communications. 243. 81–96. 49 indexed citations
5.
Dang, Ming, et al.. (2018). Microsphere controlled drug delivery for local control of tooth movement. European Journal of Orthodontics. 41(1). 1–8. 14 indexed citations
6.
Ma, Peter, et al.. (2017). Toxic Leukoencephalopathy in a Teenager Caused by the Recreational Ingestion of 25I-NBOMe: A Case Report and Review of Literature. Journal of Medical Cases. 8(6). 174–179. 1 indexed citations
7.
Wang, Tingyu, et al.. (2017). Specific Deletion of β-Catenin in Col2-Expressing Cells Leads to Defects in Epiphyseal Bone. International Journal of Biological Sciences. 13(12). 1540–1546. 5 indexed citations
8.
Raju, Muralikrishna, Daniel T. Banuti, Peter Ma, & Matthias Ihme. (2017). Widom Lines in Binary Mixtures of Supercritical Fluids. Scientific Reports. 7(1). 3027–3027. 82 indexed citations
9.
Esclapez, Lucas, Peter Ma, Eric Mayhew, et al.. (2017). Fuel effects on lean blow-out in a realistic gas turbine combustor. Combustion and Flame. 181. 82–99. 139 indexed citations
10.
Wu, Hao, Peter Ma, Yu Lv, & Matthias Ihme. (2017). MVP-Workshop Contribution: Modeling of Volvo bluff body flame experiment. 55th AIAA Aerospace Sciences Meeting. 17 indexed citations
11.
Xue, Yumeng, Yuzhang Du, Jin Yan, et al.. (2015). Monodisperse photoluminescent and highly biocompatible bioactive glass nanoparticles for controlled drug delivery and cell imaging. Journal of Materials Chemistry B. 3(18). 3831–3839. 58 indexed citations
12.
Ma, Peter, Jean-Pierre Hickey, & Matthias Ihme. (2013). Large-eddy simulations of real-fluid effects in rocket engine combustors. Bulletin of the American Physical Society.
13.
Ma, Peter, et al.. (2013). The Effect of Semi and Drillship Response on BOP Stack Motion and Casing Fatigue in Shallow Water. The Twenty-third International Offshore and Polar Engineering Conference. 3 indexed citations
14.
Ma, Peter, et al.. (2012). Time-Domain VIV Prediction of Marine Risers. 949–959. 7 indexed citations
15.
Baird, Richard E., Hamed K. Abbas, Paul J. Williams, et al.. (2008). Identification of Select Fumonisin Forming Fusarium Species Using PCR Applications of the Polyketide Synthase Gene and its Relationship to Fumonisin Production in vitro. International Journal of Molecular Sciences. 9(4). 554–570. 40 indexed citations
16.
Callahan, Laura A. Smith & Peter Ma. (2004). Nano-fibrous scaffolds for tissue engineering. Colloids and Surfaces B Biointerfaces. 39(3). 125–131. 485 indexed citations
17.
Kuo, Catherine K. & Peter Ma. (2001). Ionically crosslinked alginate hydrogels as scaffolds for tissue engineering: Part 1. Structure, gelation rate and mechanical properties. Biomaterials. 22(6). 511–521. 1195 indexed citations breakdown →
18.
Török, É, Joerg M. Pollok, Peter Ma, et al.. (2001). Optimization of Hepatocyte Spheroid Formation for Hepatic Tissue Engineering on Three-Dimensional Biodegradable Polymer within a Flow Bioreactor prior to Implantation. Cells Tissues Organs. 169(1). 34–41. 45 indexed citations
19.
Zhang, Ruiyun & Peter Ma. (2000). Synthetic nano-fibrillar extracellular matrices with predesigned macroporous architectures. Journal of Biomedical Materials Research. 52(2). 430–438. 190 indexed citations
20.
Cusick, Robert A., Hanmin Lee, Kaoru Sano, et al.. (1997). The effect of donor and recipient age on engraftment of tissue-engineered liver. Journal of Pediatric Surgery. 32(2). 357–360. 23 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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