Michael Hackett

2.1k total citations · 1 hit paper
28 papers, 1.6k citations indexed

About

Michael Hackett is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, Michael Hackett has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Biomaterials. Recurrent topics in Michael Hackett's work include CAR-T cell therapy research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA Interference and Gene Delivery (3 papers). Michael Hackett is often cited by papers focused on CAR-T cell therapy research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA Interference and Gene Delivery (3 papers). Michael Hackett collaborates with scholars based in United States, South Korea and Germany. Michael Hackett's co-authors include Taeghwan Hyeon, Byung Hyo Kim, Daishun Ling, Jongnam Park, Leaf Huang, Shyh‐Dar Li, Taeghwan Hyeon, Kun Na, Wooram Park and Sin‐jung Park and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Michael Hackett

27 papers receiving 1.6k citations

Hit Papers

Multifunctional Tumor pH-Sensitive Self-Assembled Nanopar... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Hackett United States 10 678 570 521 509 174 28 1.6k
Gaoxing Su China 30 803 1.2× 1.1k 1.9× 972 1.9× 535 1.1× 207 1.2× 73 2.5k
Weihua Zhuang China 25 825 1.2× 824 1.4× 491 0.9× 530 1.0× 244 1.4× 97 2.1k
Parvesh Sharma United States 19 869 1.3× 930 1.6× 425 0.8× 536 1.1× 142 0.8× 30 1.8k
Nicoletta Depalo Italy 24 564 0.8× 352 0.6× 572 1.1× 322 0.6× 100 0.6× 88 1.5k
Ao Li China 22 642 0.9× 899 1.6× 292 0.6× 461 0.9× 68 0.4× 82 1.6k
Katel Hervé-Aubert France 25 320 0.5× 577 1.0× 443 0.9× 780 1.5× 128 0.7× 43 1.5k
Álvaro Somoza Spain 29 684 1.0× 833 1.5× 1.1k 2.2× 650 1.3× 300 1.7× 87 2.5k
Derrick Tarn United States 8 929 1.4× 829 1.5× 496 1.0× 957 1.9× 132 0.8× 8 2.0k
Xuehua Ma China 23 743 1.1× 1.1k 2.0× 474 0.9× 622 1.2× 77 0.4× 59 1.9k

Countries citing papers authored by Michael Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hackett

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hackett. A scholar is included among the top collaborators of Michael Hackett 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 Michael Hackett. Michael Hackett 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
2.
Hackett, Michael, et al.. (2023). Efficacy of ceftazidime in a murine model following a lethal aerosol exposure to Burkholderia pseudomallei. Scientific Reports. 13(1). 4047–4047. 1 indexed citations
3.
Thulasiraman, Preetha, et al.. (2023). Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study. Energies. 16(20). 7151–7151. 2 indexed citations
4.
Hackett, Michael, et al.. (2023). Aquatic macrophyte growth season in Central and Northern European Union and the implications for aquatic macrophyte risk assessments for herbicides. Integrated Environmental Assessment and Management. 20(4). 1125–1139. 1 indexed citations
5.
Tomic, Milan T., Shauna Farr-Jones, Nancy A. Niemuth, et al.. (2021). Neutralizing Concentrations of Anti-Botulinum Toxin Antibodies Positively Correlate with Mouse Neutralization Assay Results in a Guinea Pig Model. Toxins. 13(9). 671–671. 8 indexed citations
6.
Waidyanatha, Suramya, Michael Hackett, Sherry R. Black, et al.. (2021). Toxicokinetic evaluation of the common indoor air pollutant, α-pinene, and its potential reactive metabolite, α-pinene oxide, following inhalation exposure in rodents. Toxicology and Applied Pharmacology. 418. 115496–115496. 9 indexed citations
7.
Clayton, Nicholas P., Akash Jain, Steven D. Zumbrun, et al.. (2021). In Vitro and In Vivo Characterization of Tebipenem, an Orally Active Carbapenem, against Biothreat Pathogens. Antimicrobial Agents and Chemotherapy. 65(5). 9 indexed citations
8.
Chen, Yunching, Shyh‐Dar Li, Michael Hackett, & Leaf Huang. (2020). Tumor-targeted Delivery of siRNA by Self-assembled Nanoparticles. UNC Libraries. 1 indexed citations
9.
Bartels, Michael, Michael Hackett, Matthew W. Himmelstein, et al.. (2019). Metabolic Basis for Nonlinearity in 1,3-Dichloropropene Toxicokinetics and Use in Setting a Kinetically-derived Maximum Inhalation Exposure Concentration in Mice. Toxicological Sciences. 174(1). 16–24. 4 indexed citations
10.
Ling, Daishun, Liqian Gao, Jianpeng Wang, et al.. (2014). A General Strategy for Site‐Directed Enzyme Immobilization by Using NiO Nanoparticle Decorated Mesoporous Silica. Chemistry - A European Journal. 20(26). 7916–7921. 31 indexed citations
11.
Ling, Daishun, Michael Hackett, & Taeghwan Hyeon. (2014). Surface ligands in synthesis, modification, assembly and biomedical applications of nanoparticles. Nano Today. 9(4). 457–477. 183 indexed citations
12.
Kim, Byung Hyo, et al.. (2014). Size Characterization of Ultrasmall Silver Nanoparticles Using MALDI-TOF Mass Spectrometry. Bulletin of the Korean Chemical Society. 35(3). 961–964. 7 indexed citations
13.
Ling, Daishun, Hongping Xia, Wooram Park, et al.. (2014). pH-Sensitive Nanoformulated Triptolide as a Targeted Therapeutic Strategy for Hepatocellular Carcinoma. ACS Nano. 8(8). 8027–8039. 122 indexed citations
14.
Ling, Daishun, Wooram Park, Sin‐jung Park, et al.. (2014). Multifunctional Tumor pH-Sensitive Self-Assembled Nanoparticles for Bimodal Imaging and Treatment of Resistant Heterogeneous Tumors. Journal of the American Chemical Society. 136(15). 5647–5655. 450 indexed citations breakdown →
15.
Kim, Byung Hyo, Michael Hackett, Jongnam Park, & Taeghwan Hyeon. (2013). Synthesis, Characterization, and Application of Ultrasmall Nanoparticles. Chemistry of Materials. 26(1). 59–71. 341 indexed citations
16.
Hackett, Michael, et al.. (2012). Fatty acids as therapeutic auxiliaries for oral and parenteral formulations. Advanced Drug Delivery Reviews. 65(10). 1331–1339. 46 indexed citations
17.
Hackett, Michael, et al.. (2012). A Dicarboxylic Fatty Acid Derivative of Paclitaxel for Albumin-Assisted Drug Delivery. Journal of Pharmaceutical Sciences. 101(9). 3292–3304. 9 indexed citations
18.
Li, Shyh‐Dar, et al.. (2007). Tumor-targeted Delivery of siRNA by Self-assembled Nanoparticles. Molecular Therapy. 16(1). 163–169. 267 indexed citations
19.
Hackett, Michael. (2007). Building Effective Global Software Test Teams through Training. 293–294. 2 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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