Michael R. Jorgensen

849 total citations
39 papers, 662 citations indexed

About

Michael R. Jorgensen is a scholar working on Molecular Biology, Geophysics and Ocean Engineering. According to data from OpenAlex, Michael R. Jorgensen has authored 39 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Geophysics and 13 papers in Ocean Engineering. Recurrent topics in Michael R. Jorgensen's work include Geophysical and Geoelectrical Methods (20 papers), Geophysical Methods and Applications (13 papers) and RNA Interference and Gene Delivery (12 papers). Michael R. Jorgensen is often cited by papers focused on Geophysical and Geoelectrical Methods (20 papers), Geophysical Methods and Applications (13 papers) and RNA Interference and Gene Delivery (12 papers). Michael R. Jorgensen collaborates with scholars based in United States, United Kingdom and Norway. Michael R. Jorgensen's co-authors include Andrew D. Miller, Éric Pérouzel, Michael S. Zhdanov, Michael Keller, Steven Fletcher, Nazila Kamaly, Maya Thanou, Carol Crowther, Yukikazu Natori and Masato Fujino and has published in prestigious journals such as Biochemistry, Journal of Controlled Release and Journal of Medicinal Chemistry.

In The Last Decade

Michael R. Jorgensen

37 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R. Jorgensen United States 14 466 130 97 87 68 39 662
F. Niu China 11 279 0.6× 112 0.9× 5 0.1× 111 1.3× 40 0.6× 23 475
Alessandro Rossetta Italy 6 229 0.5× 38 0.3× 52 0.5× 77 0.9× 7 0.1× 10 409
Raghavendra Vasudeva Murthy India 12 215 0.5× 69 0.5× 12 0.1× 54 0.6× 3 0.0× 22 398
Søren S. Nielsen Denmark 8 259 0.6× 34 0.3× 16 0.2× 62 0.7× 5 0.1× 12 502
Rosalynn C. Molden United States 14 697 1.5× 35 0.3× 74 0.8× 77 0.9× 18 881
Caterina Alfano Italy 17 536 1.2× 39 0.3× 52 0.5× 34 0.4× 28 738
Marc D. Roy United States 11 310 0.7× 100 0.8× 19 0.2× 79 0.9× 20 611
Matthew J. Rames United States 12 309 0.7× 19 0.1× 13 0.1× 109 1.3× 3 0.0× 23 617
T. N. Murugova Russia 11 214 0.5× 34 0.3× 10 0.1× 36 0.4× 5 0.1× 33 344
Tiffany M. Richardson United States 7 1.3k 2.7× 30 0.2× 75 0.8× 55 0.6× 8 1.5k

Countries citing papers authored by Michael R. Jorgensen

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Jorgensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Jorgensen

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Jorgensen. A scholar is included among the top collaborators of Michael R. Jorgensen 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 R. Jorgensen. Michael R. Jorgensen 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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Jorgensen, Michael R., Michael S. Zhdanov, & Brian Parsons. (2023). 3D Focusing Inversion of Full Tensor Magnetic Gradiometry Data with Gramian Regularization. Minerals. 13(7). 851–851. 5 indexed citations
4.
Zhdanov, Michael S., Michael R. Jorgensen, & Mo Tao. (2023). Probabilistic approach to Gramian inversion of multiphysics data. Frontiers in Earth Science. 11. 2 indexed citations
5.
Zhdanov, Michael S., et al.. (2022). Three-Dimensional Gravity Inversion in the Presence of the Sediment-Basement Interface: A Case Study in Utah, USA. Minerals. 12(4). 448–448. 2 indexed citations
6.
Zhdanov, Michael S., et al.. (2022). 3D joint Gramian inversion of airborne gravity gradiometry and magnetotelluric data for geothermal resource exploration. Second International Meeting for Applied Geoscience & Energy. 1155–1159.
7.
Zhdanov, Michael S., Michael R. Jorgensen, & Leif H. Cox. (2021). Advanced Methods of Joint Inversion of Multiphysics Data for Mineral Exploration. Geosciences. 11(6). 262–262. 15 indexed citations
8.
Jorgensen, Michael R., et al.. (2021). Validation of Vehicle Speed Analysis Utilizing the iNPUT-ACE Camera Match Overlay Tool. SAE International Journal of Advances and Current Practices in Mobility. 4(1). 78–85. 1 indexed citations
9.
Jorgensen, Michael R. & Michael S. Zhdanov. (2021). Recovering Magnetization of Rock Formations by Jointly Inverting Airborne Gravity Gradiometry and Total Magnetic Intensity Data. Minerals. 11(4). 366–366. 16 indexed citations
10.
Di, Qingyun, et al.. (2018). CSAMT Static Shift Recognition and Correction Using Radon Transformation. IEEE Geoscience and Remote Sensing Letters. 15(7). 1001–1005. 3 indexed citations
11.
Jorgensen, Michael R., Martin Čuma, & Michael S. Zhdanov. (2015). 3D joint inversion of magnetotelluric and magnetovariational data to image conductive anomalies in Southern Alberta, Canada. 990–995. 2 indexed citations
12.
Røst, Therese H., Michael R. Jorgensen, Christos Kontogiorgis, et al.. (2010). Synthesis of novel PPARα/γ dual agonists as potential drugs for the treatment of the metabolic syndrome and diabetes type II designed using a new de novo design programprotobuild. Organic & Biomolecular Chemistry. 9(4). 1169–1188. 18 indexed citations
13.
Røst, Therese H., et al.. (2009). Novel phospholipid analogues of pan-PPAR activator tetradecylthioacetic acid are more PPARα selective. Bioorganic & Medicinal Chemistry Letters. 20(3). 1252–1255. 7 indexed citations
14.
Mével, Mathieu, Nazila Kamaly, Sergio Carmona, et al.. (2009). DODAG; a versatile new cationic lipid that mediates efficient delivery of pDNA and siRNA. Journal of Controlled Release. 143(2). 222–232. 80 indexed citations
15.
Fletcher, Steven, et al.. (2008). Biophysical Properties of CDAN/DOPE‐Analogue Lipoplexes Account for Enhanced Gene Delivery. ChemBioChem. 9(3). 455–463. 20 indexed citations
16.
Kamaly, Nazila, Tammy L. Kalber, Po‐Wah So, et al.. (2007). Bimodal Paramagnetic and Fluorescent Liposomes for Cellular and Tumor Magnetic Resonance Imaging. Bioconjugate Chemistry. 19(1). 118–129. 99 indexed citations
17.
Harbottle, Richard P., Michael Keller, Kostas Kostarelos, et al.. (2005). Synthesis and Application of Integrin Targeting Lipopeptides in Targeted Gene Delivery. ChemBioChem. 6(7). 1212–1223. 24 indexed citations
18.
Jorgensen, Michael R., et al.. (2005). The facile preparation of primary and secondary amines via an improved Fukuyama–Mitsunobu procedure. Application to the synthesis of a lung-targeted gene delivery agent. Organic & Biomolecular Chemistry. 3(6). 1049–1057. 19 indexed citations
19.
Fletcher, Steven, et al.. (2005). A dialkynoyl analogue of DOPE improves gene transfer of lower-charged, cationic lipoplexes. Organic & Biomolecular Chemistry. 4(2). 196–199. 34 indexed citations
20.
Pérouzel, Éric, Michael R. Jorgensen, Michael Keller, & Andrew D. Miller. (2003). Synthesis and Formulation of Neoglycolipids for the Functionalization of Liposomes and Lipoplexes. Bioconjugate Chemistry. 14(5). 884–898. 46 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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