Jamie Liu

2.5k total citations · 1 hit paper
15 papers, 1.9k citations indexed

About

Jamie Liu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Molecular Biology. According to data from OpenAlex, Jamie Liu has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Hardware and Architecture and 5 papers in Molecular Biology. Recurrent topics in Jamie Liu's work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers) and RNA Interference and Gene Delivery (3 papers). Jamie Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers) and RNA Interference and Gene Delivery (3 papers). Jamie Liu collaborates with scholars based in United States, Mexico and Canada. Jamie Liu's co-authors include Onur Mutlu, Yoongu Kim, Richard Veras, Vivek Seshadri, Donghyuk Lee, Chris Wilkerson, Iain D. C. Fraser, Melvin I. Simon, Estelle A. Wall and Leah A. Santat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Jamie Liu

15 papers receiving 1.8k citations

Hit Papers

RAIDR 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Liu United States 12 970 850 774 410 124 15 1.9k
Jongeun Lee South Korea 25 670 0.7× 896 1.1× 907 1.2× 308 0.8× 507 4.1× 155 2.2k
Zaid Al-Ars Netherlands 21 842 0.9× 853 1.0× 293 0.4× 469 1.1× 492 4.0× 168 1.8k
Ravi Iyer United States 29 1.6k 1.7× 658 0.8× 1.9k 2.5× 222 0.5× 166 1.3× 90 2.7k
Michael D. Bond United States 30 822 0.8× 118 0.1× 874 1.1× 596 1.5× 566 4.6× 88 2.3k
Bill Lin United States 24 938 1.0× 733 0.9× 860 1.1× 214 0.5× 164 1.3× 116 1.8k
Li-Pin Chang Taiwan 23 798 0.8× 114 0.1× 1.6k 2.1× 204 0.5× 212 1.7× 78 2.2k
Thomas Wild Germany 15 300 0.3× 157 0.2× 354 0.5× 870 2.1× 55 0.4× 106 1.4k
John Lockwood United States 23 1.1k 1.1× 138 0.2× 1.3k 1.7× 375 0.9× 709 5.7× 57 2.2k
Leyuan Wang China 18 275 0.3× 180 0.2× 191 0.2× 323 0.8× 367 3.0× 55 1.4k
Weixun Wang United States 19 264 0.3× 171 0.2× 204 0.3× 925 2.3× 187 1.5× 48 1.8k

Countries citing papers authored by Jamie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Liu

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

All Works

15 of 15 papers shown
1.
Liu, Jamie, et al.. (2024). Potent and Protease Resistant Azapeptide Agonists of the GLP‐1 and GIP Receptors. Angewandte Chemie International Edition. 63(49). e202410237–e202410237. 3 indexed citations
2.
Liu, Jamie, Brisa N. Sánchez, Adrienne S. Ettinger, et al.. (2015). Impact of Maternal Prenatal Mineral Intake on Pubertal Onset in Mexican Children. The FASEB Journal. 29(S1). 1 indexed citations
3.
Lee, Dong‐Hyuk, Yoongu Kim, Vivek Seshadri, et al.. (2013). Tiered-latency DRAM: A low latency and low cost DRAM architecture. Figshare. 615–626. 182 indexed citations
4.
Liu, Jamie, et al.. (2013). An experimental study of data retention behavior in modern DRAM devices. ACM SIGARCH Computer Architecture News. 41(3). 60–71. 91 indexed citations
5.
Liu, Jamie, et al.. (2013). An experimental study of data retention behavior in modern DRAM devices. 60–71. 201 indexed citations
6.
Liu, Jamie, et al.. (2012). RAIDR. ACM SIGARCH Computer Architecture News. 40(3). 1–12. 335 indexed citations breakdown →
7.
Kim, Yoongu, Vivek Seshadri, Donghyuk Lee, Jamie Liu, & Onur Mutlu. (2012). A case for exploiting subarray-level parallelism (SALP) in DRAM. 368–379. 167 indexed citations
8.
Kim, Yoongu, Vivek Seshadri, Donghyuk Lee, Jamie Liu, & Onur Mutlu. (2012). A case for exploiting subarray-level parallelism (SALP) in DRAM. ACM SIGARCH Computer Architecture News. 40(3). 368–379. 177 indexed citations
9.
Liu, Jamie, et al.. (2012). RAIDR: Retention-aware intelligent DRAM refresh. Figshare. 1–12. 131 indexed citations
10.
Rebres, Robert A., Tamara I. A. Roach, Iain D. C. Fraser, et al.. (2010). Synergistic Ca2+ Responses by Gαi- and Gαq-coupled G-protein-coupled Receptors Require a Single PLCβ Isoform That Is Sensitive to Both Gβγ and Gαq. Journal of Biological Chemistry. 286(2). 942–951. 51 indexed citations
11.
Wall, Estelle A., Mi Sook Chang, Xiaocui Zhu, et al.. (2009). Suppression of LPS-Induced TNF-α Production in Macrophages by cAMP Is Mediated by PKA-AKAP95-p105. Science Signaling. 2(75). ra28–ra28. 156 indexed citations
12.
Hsueh, Robert C., Madhusudan Natarajan, Iain D. C. Fraser, et al.. (2009). Deciphering Signaling Outcomes from a System of Complex Networks. Science Signaling. 2(71). ra22–ra22. 27 indexed citations
13.
Zhu, Xiaocui, Leah A. Santat, Mi‐Yoon Chang, et al.. (2007). A versatile approach to multiple gene RNA interference using microRNA-based short hairpin RNAs. BMC Molecular Biology. 8(1). 98–98. 55 indexed citations
14.
Fraser, Iain D. C., Wei Liu, Robert A. Rebres, et al.. (2007). The Use of RNA Interference to Analyze Protein Phosphatase Function in Mammalian Cells. Humana Press eBooks. 365. 261–286. 9 indexed citations
15.
Shin, Kum-Joo, Estelle A. Wall, Leah A. Santat, et al.. (2006). A single lentiviral vector platform for microRNA-based conditional RNA interference and coordinated transgene expression. Proceedings of the National Academy of Sciences. 103(37). 13759–13764. 264 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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