Eugene Chen

2.5k total citations · 1 hit paper
31 papers, 2.0k citations indexed

About

Eugene Chen is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Eugene Chen has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 7 papers in Condensed Matter Physics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Eugene Chen's work include Magnetic properties of thin films (16 papers), Drug Transport and Resistance Mechanisms (5 papers) and Physics of Superconductivity and Magnetism (5 papers). Eugene Chen is often cited by papers focused on Magnetic properties of thin films (16 papers), Drug Transport and Resistance Mechanisms (5 papers) and Physics of Superconductivity and Magnetism (5 papers). Eugene Chen collaborates with scholars based in United States, China and France. Eugene Chen's co-authors include Mircea R. Stan, Zhitao Diao, Yunfei Ding, Alex Panchula, Yiming Huai, Lien-Chang Wang, Dmytro Apalkov, Zhanjie Li, Stuart A. Wolf and Jiwei Lu and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Eugene Chen

28 papers receiving 1.9k citations

Hit Papers

Spin-transfer torque magnetic random access memory (STT-M... 2013 2026 2017 2021 2013 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
Eugene Chen United States 18 946 857 317 298 241 31 2.0k
Ryo Nakayama Japan 18 483 0.5× 151 0.2× 50 0.2× 83 0.3× 20 0.1× 97 1.2k
Kenji Hirata Japan 20 493 0.5× 113 0.1× 118 0.4× 27 0.1× 39 0.2× 70 1.3k
Christer Svensson Sweden 23 1.7k 1.8× 263 0.3× 28 0.1× 66 0.2× 82 0.3× 110 2.1k
K. Noma Japan 16 177 0.2× 320 0.4× 199 0.6× 35 0.1× 18 0.1× 66 765
Yuji Takahashi Japan 17 416 0.4× 79 0.1× 61 0.2× 38 0.1× 14 0.1× 68 852
Thomas Zimmer France 20 1.1k 1.2× 263 0.3× 32 0.1× 16 0.1× 42 0.2× 143 1.5k
T. Sasaki Japan 19 408 0.4× 190 0.2× 39 0.1× 22 0.1× 6 0.0× 182 1.1k
Yuye Wang China 23 1.1k 1.1× 423 0.5× 195 0.6× 23 0.1× 3 0.0× 189 1.8k
Hae June Lee South Korea 27 999 1.1× 258 0.3× 56 0.2× 28 0.1× 4 0.0× 196 2.2k

Countries citing papers authored by Eugene Chen

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Chen. A scholar is included among the top collaborators of Eugene Chen 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 Eugene Chen. Eugene Chen 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
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Bowman, Christine M., Fang Ma, Emile G. Plise, et al.. (2023). Evaluation of bottom‐up modeling of the blood–brain barrier to improve brain penetration prediction via physiologically based pharmacokinetic modeling. Biopharmaceutics & Drug Disposition. 44(1). 60–70. 3 indexed citations
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Bowman, Christine M., Eugene Chen, Liuxi Chen, et al.. (2019). Changes in Organic Anion Transporting Polypeptide Uptake in HEK293 Overexpressing Cells in the Presence and Absence of Human Plasma. Drug Metabolism and Disposition. 48(1). 18–24. 19 indexed citations
6.
Gong, Jian Ping, Ping Qiu, Eugene Chen, & Bo Yang. (2018). Abstract 698: Functional Analysis of Smad3 Deficiency in VSMCs Derived From Crispr/cas9-modified Human Induced Pluripotent Stem Cells. Arteriosclerosis Thrombosis and Vascular Biology. 38(Suppl_1). 1 indexed citations
7.
Chang, Jae H., Xiaolin Zhang, Yi‐Chen Chen, et al.. (2018). Unremarkable impact of Oatp inhibition on the liver concentration of fluvastatin, lovastatin and pitavastatin in wild-type and Oatp1a/1b knockout mouse. Xenobiotica. 49(5). 602–610. 4 indexed citations
8.
Zhang, Weizhen, Lin Chang, Chao Zhang, et al.. (2015). Central and Peripheral Irisin Differentially Regulate Blood Pressure. Cardiovascular Drugs and Therapy. 29(2). 121–127. 80 indexed citations
9.
Zhang, Weizhen, Lin Chang, Chao Zhang, et al.. (2015). Irisin: A myokine with locomotor activity. Neuroscience Letters. 595. 7–11. 34 indexed citations
10.
Krounbi, M., V. Nikitin, Dmytro Apalkov, et al.. (2015). (Keynote) Status and Challenges in Spin-Transfer Torque MRAM Technology. ECS Transactions. 69(3). 119–126. 19 indexed citations
11.
Yaakub, Siti Maryam, Eugene Chen, Tjeerd J. Bouma, P.L.A. Erftemeijer, & Peter A. Todd. (2014). Chronic light reduction reduces overall resilience to additional shading stress in the seagrass Halophila ovalis. Marine Pollution Bulletin. 83(2). 467–474. 51 indexed citations
12.
Apalkov, Dmytro, A. V. Khvalkovskiy, Steven Watts, et al.. (2013). Spin-transfer torque magnetic random access memory (STT-MRAM). ACM Journal on Emerging Technologies in Computing Systems. 9(2). 1–35. 379 indexed citations breakdown →
13.
Chang, Lin, et al.. (2012). Abstract 662: Perivascular Adipose Tissue-derived Prostaglandins Constrict Vessel. Hypertension. 60(suppl_1). 2 indexed citations
14.
Nigam, Anurag, Clinton W. Smullen, Vidyabhushan Mohan, et al.. (2011). Delivering on the promise of universal memory for spin-transfer torque RAM (STT-RAM). 121–126. 58 indexed citations
15.
Nigam, Anurag, Clinton W. Smullen, Vidyabhushan Mohan, et al.. (2011). Delivering on the promise of universal memory for spin-transfer torque RAM (STT-RAM). 121–126. 79 indexed citations
16.
Chen, Ligong, Eugene Chen, Avner Schlessinger, et al.. (2010). Genetic Polymorphisms in Organic Cation Transporter 1 (OCT1) in Chinese and Japanese Populations Exhibit Altered Function. Journal of Pharmacology and Experimental Therapeutics. 335(1). 42–50. 70 indexed citations
17.
Chen, Ligong, Bradley Pawlikowski, Avner Schlessinger, et al.. (2010). Role of organic cation transporter 3 (SLC22A3) and its missense variants in the pharmacologic action of metformin. Pharmacogenetics and Genomics. 20(11). 687–699. 157 indexed citations
18.
Apalkov, Dmytro, Steven Watts, A. Driskill-Smith, et al.. (2010). Comparison of Scaling of In-Plane and Perpendicular Spin Transfer Switching Technologies by Micromagnetic Simulation. IEEE Transactions on Magnetics. 46(6). 2240–2243. 39 indexed citations
19.
Wolf, Stuart A., Jiwei Lu, Mircea R. Stan, Eugene Chen, & Daryl Treger. (2010). The Promise of Nanomagnetics and Spintronics for Future Logic and Universal Memory. Proceedings of the IEEE. 98(12). 2155–2168. 251 indexed citations
20.
Diao, Zhitao, Alex Panchula, Yunfei Ding, et al.. (2007). Spin transfer switching in dual MgO magnetic tunnel junctions. Applied Physics Letters. 90(13). 131 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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