Scott J. Kemp

1.8k total citations
22 papers, 1.3k citations indexed

About

Scott J. Kemp is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Scott J. Kemp has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Scott J. Kemp's work include Characterization and Applications of Magnetic Nanoparticles (16 papers), Geomagnetism and Paleomagnetism Studies (13 papers) and Electrical and Bioimpedance Tomography (5 papers). Scott J. Kemp is often cited by papers focused on Characterization and Applications of Magnetic Nanoparticles (16 papers), Geomagnetism and Paleomagnetism Studies (13 papers) and Electrical and Bioimpedance Tomography (5 papers). Scott J. Kemp collaborates with scholars based in United States, Germany and France. Scott J. Kemp's co-authors include R. Matthew Ferguson, Amit P. Khandhar, Kannan M. Krishnan, Patrick Goodwill, Steven Conolly, Bo Zheng, Elaine Yu, Steven F. Pedersen, Paul Keselman and Andrei W. Konradi and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and ACS Nano.

In The Last Decade

Scott J. Kemp

22 papers receiving 1.3k citations

Peers

Scott J. Kemp
Fritz Westphal Germany
Cordula Gruettner United States
Haikuo Li China
Arnaud Gilles France
Youngseon Choi South Korea
Barbara Sartori Austria
Andrew M. Fales United States
Rozane F. Turchiello Brazil
Qiao Tang China
Marcin Krajewski Poland
Fritz Westphal Germany
Scott J. Kemp
Citations per year, relative to Scott J. Kemp Scott J. Kemp (= 1×) peers Fritz Westphal

Countries citing papers authored by Scott J. Kemp

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Kemp. 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 Scott J. Kemp. The network helps show where Scott J. Kemp may publish in the future.

Co-authorship network of co-authors of Scott J. Kemp

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Kemp. A scholar is included among the top collaborators of Scott J. Kemp 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 Scott J. Kemp. Scott J. Kemp 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.
Vogel, Patrick, Martin Rückert, Scott J. Kemp, et al.. (2019). Micro-Traveling Wave Magnetic Particle Imaging—Sub-Millimeter Resolution With Optimized Tracer LS-008. IEEE Transactions on Magnetics. 55(10). 1–7. 30 indexed citations
2.
Keselman, Paul, Elaine Yu, Xinyi Y. Zhou, et al.. (2017). Tracking short-term biodistribution and long-term clearance of SPIO tracers in magnetic particle imaging. Physics in Medicine and Biology. 62(9). 3440–3453. 61 indexed citations
3.
Orendorff, Ryan, Bo Zheng, R. Matthew Ferguson, et al.. (2017). Firstin vivotraumatic brain injury imaging via magnetic particle imaging. Physics in Medicine and Biology. 62(9). 3501–3509. 86 indexed citations
4.
Kaul, Michael G., Caroline Jung, Johannes Salamon, et al.. (2017). In vitroandin vivocomparison of a tailored magnetic particle imaging blood pool tracer with Resovist. Physics in Medicine and Biology. 62(9). 3454–3469. 40 indexed citations
5.
Yu, Elaine, Bo Zheng, R. Matthew Ferguson, et al.. (2017). Magnetic Particle Imaging: A Novel in Vivo Imaging Platform for Cancer Detection. Nano Letters. 17(3). 1648–1654. 274 indexed citations
6.
Yu, Elaine, Prashant Chandrasekharan, Zhi Wei Tay, et al.. (2017). Magnetic Particle Imaging for Highly Sensitive, Quantitative, and Safein VivoGut Bleed Detection in a Murine Model. ACS Nano. 11(12). 12067–12076. 122 indexed citations
7.
Khandhar, Amit P., Paul Keselman, Scott J. Kemp, et al.. (2016). Evaluation of PEG-coated iron oxide nanoparticles as blood pool tracers for preclinical magnetic particle imaging. Nanoscale. 9(3). 1299–1306. 135 indexed citations
8.
Kemp, Scott J., R. Matthew Ferguson, Amit P. Khandhar, & Kannan M. Krishnan. (2016). Monodisperse magnetite nanoparticles with nearly ideal saturation magnetization. RSC Advances. 6(81). 77452–77464. 148 indexed citations
9.
Khandhar, Amit P., R. Matthew Ferguson, Hamed Arami, Scott J. Kemp, & Kannan M. Krishnan. (2015). Tuning Surface Coatings of Optimized Magnetite Nanoparticle Tracers for <italic>In Vivo</italic> Magnetic Particle Imaging. IEEE Transactions on Magnetics. 51(2). 1–4. 31 indexed citations
10.
Kemp, Scott J., R. Matthew Ferguson, Amit P. Khandhar, & Kannan M. Krishnan. (2015). Gram scale synthesis of magnetite nanoparticles optimized for single-core MPI tracers. PubMed. 2015. 1–1. 1 indexed citations
11.
Khandhar, Amit P., Scott J. Kemp, R. Matthew Ferguson, & Kannan M. Krishnan. (2015). Tunable in vivo circulation characteristics of PEGylated MPI tracers. PubMed. 2015. 1–1. 1 indexed citations
12.
Tomitaka, Asahi, R. Matthew Ferguson, Amit P. Khandhar, et al.. (2015). Variation of Magnetic Particle Imaging Tracer Performance With Amplitude and Frequency of the Applied Magnetic Field. IEEE Transactions on Magnetics. 51(2). 1–4. 16 indexed citations
13.
Kuhlmann, Christian, Amit P. Khandhar, R. Matthew Ferguson, et al.. (2015). Drive-Field Frequency Dependent MPI Performance of Single-Core Magnetite Nanoparticle Tracers. IEEE Transactions on Magnetics. 51(2). 1–4. 34 indexed citations
14.
Heinen, Ulrich, Jochen Franke, Nicoleta Baxan, et al.. (2015). Generic multi-purpose multi-modality phantom kit design. 140. 1–1. 3 indexed citations
15.
Goodwill, Patrick, R. Matthew Ferguson, Elaine Yu, et al.. (2015). In Vivo and Ex vivo experimental MPI angiography with high selection field strength and tailored SPIO nanoparticles. 54. 1–1. 4 indexed citations
16.
Ludwig, Frank, Christian Kuhlmann, Thilo Wawrzik, et al.. (2014). Dynamic Magnetic Properties of Optimized Magnetic Nanoparticles for Magnetic Particle Imaging. IEEE Transactions on Magnetics. 50(11). 1–4. 8 indexed citations
17.
Ferguson, R. Matthew, Amit P. Khandhar, Scott J. Kemp, et al.. (2014). Magnetic Particle Imaging With Tailored Iron Oxide Nanoparticle Tracers. IEEE Transactions on Medical Imaging. 34(5). 1077–1084. 173 indexed citations
18.
Singh, Ajay, Scott J. Kemp, Erick A. Goldman, et al.. (2003). Antimalarial Activities of Novel SyntheticCysteine ProteaseInhibitors. Antimicrobial Agents and Chemotherapy. 47(12). 3810–3814. 64 indexed citations
19.
Cui, Jingrong Jean, John Reiner, Komandla Malla Reddy, et al.. (2002). Non-covalent thrombin inhibitors featuring P3-Heterocycles with P1-Bicyclic arginine surrogates. Bioorganic & Medicinal Chemistry Letters. 12(20). 2925–2930. 18 indexed citations
20.
Kemp, Scott J., Jianming Bao, & Steven F. Pedersen. (1996). Selective Inversion of the Proximal or Distal Hydroxyl Groups in syn,syn-3-[N-(Alkoxycarbonyl)amino] 1,2-Diols via Cyclic Sulfates. The Journal of Organic Chemistry. 61(20). 7162–7167. 20 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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