Dakota O’Dell

1.1k total citations
19 papers, 858 citations indexed

About

Dakota O’Dell is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Infectious Diseases. According to data from OpenAlex, Dakota O’Dell has authored 19 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 9 papers in Atomic and Molecular Physics, and Optics and 3 papers in Infectious Diseases. Recurrent topics in Dakota O’Dell's work include Biosensors and Analytical Detection (7 papers), Near-Field Optical Microscopy (6 papers) and Orbital Angular Momentum in Optics (6 papers). Dakota O’Dell is often cited by papers focused on Biosensors and Analytical Detection (7 papers), Near-Field Optical Microscopy (6 papers) and Orbital Angular Momentum in Optics (6 papers). Dakota O’Dell collaborates with scholars based in United States. Dakota O’Dell's co-authors include Vlad Oncescu, David Erickson, David Erickson, Saurabh Mehta, Seoho Lee, Abdurrahman Gümüş, Matthew Mancuso, Jiang Li, Balaji Srinivasan and Pilgyu Kang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and Applied Physics Letters.

In The Last Decade

Dakota O’Dell

19 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dakota O’Dell United States 12 671 362 128 114 79 19 858
Kenneth D. Long United States 14 642 1.0× 357 1.0× 111 0.9× 192 1.7× 128 1.6× 24 890
Matthew Mancuso United States 7 475 0.7× 294 0.8× 99 0.8× 116 1.0× 28 0.4× 10 602
Richie Nagi United States 5 615 0.9× 445 1.2× 119 0.9× 108 0.9× 25 0.3× 6 811
Gregory L. Damhorst United States 15 488 0.7× 254 0.7× 153 1.2× 91 0.8× 32 0.4× 35 735
Vlad Oncescu United States 8 727 1.1× 423 1.2× 136 1.1× 240 2.1× 19 0.2× 8 954
Tassaneewan Laksanasopin United States 6 816 1.2× 435 1.2× 172 1.3× 166 1.5× 12 0.2× 8 1.1k
Bingen Cortazar United States 4 453 0.7× 293 0.8× 108 0.8× 52 0.5× 18 0.2× 5 601
Yuk Kee Cheung United States 8 670 1.0× 270 0.7× 106 0.8× 131 1.1× 11 0.1× 12 826
Leanne F. Harris Ireland 7 786 1.2× 538 1.5× 92 0.7× 216 1.9× 18 0.2× 14 1.1k
Kristen Helton United States 10 1.6k 2.3× 518 1.4× 136 1.1× 412 3.6× 41 0.5× 13 1.9k

Countries citing papers authored by Dakota O’Dell

Since Specialization
Citations

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

Fields of papers citing papers by Dakota O’Dell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dakota O’Dell. 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 Dakota O’Dell. The network helps show where Dakota O’Dell may publish in the future.

Co-authorship network of co-authors of Dakota O’Dell

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

All Works

19 of 19 papers shown
1.
Srinivasan, Balaji, Julia L. Finkelstein, Dakota O’Dell, David Erickson, & Saurabh Mehta. (2019). Rapid diagnostics for point-of-care quantification of soluble transferrin receptor. EBioMedicine. 42. 504–510. 15 indexed citations
2.
Hohenstein, Jess, Eric P. S. Baumer, Lindsay Reynolds, et al.. (2018). Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition. JMIR Human Factors. 5(1). e9–e9. 4 indexed citations
3.
Hohenstein, Jess, Dakota O’Dell, Elizabeth L. Murnane, et al.. (2017). Enhancing the Usability of an Optical Reader System to Support Point-of-Care Rapid Diagnostic Testing: An Iterative Design Approach. JMIR Human Factors. 4(4). e29–e29. 8 indexed citations
4.
Srinivasan, Balaji, Dakota O’Dell, Julia L. Finkelstein, et al.. (2017). ironPhone: Mobile device-coupled point-of-care diagnostics for assessment of iron status by quantification of serum ferritin. Biosensors and Bioelectronics. 99. 115–121. 51 indexed citations
5.
O’Dell, Dakota, et al.. (2017). A Quantitative Point-of-Need Assay for the Assessment of Vitamin D3 Deficiency. Scientific Reports. 7(1). 14142–14142. 27 indexed citations
6.
Lu, Zhengda, Dakota O’Dell, Balaji Srinivasan, et al.. (2017). Rapid diagnostic testing platform for iron and vitamin A deficiency. Proceedings of the National Academy of Sciences. 114(51). 13513–13518. 53 indexed citations
7.
O’Dell, Dakota, et al.. (2017). Mitigating the Hook Effect in Lateral Flow Sandwich Immunoassays Using Real-Time Reaction Kinetics. Analytical Chemistry. 89(9). 5095–5100. 78 indexed citations
8.
Lee, Seoho, Dakota O’Dell, Jess Hohenstein, et al.. (2016). NutriPhone: a mobile platform for low-cost point-of-care quantification of vitamin B12 concentrations. Scientific Reports. 6(1). 28237–28237. 67 indexed citations
10.
O’Dell, Dakota, et al.. (2016). Dynamics of an optically confined nanoparticle diffusing normal to a surface. Physical review. E. 93(6). 62139–62139. 2 indexed citations
11.
O’Dell, Dakota, et al.. (2016). Orthogonal Nanoparticle Size, Polydispersity, and Stability Characterization with Near-Field Optical Trapping and Light Scattering. ACS Photonics. 4(1). 106–113. 9 indexed citations
12.
O’Dell, Dakota, et al.. (2015). Near-Field Light Scattering Techniques for Measuring Nanoparticle-Surface Interaction Energies and Forces. Journal of Lightwave Technology. 33(16). 3494–3502. 10 indexed citations
13.
Kang, Pilgyu, et al.. (2015). Nanophotonic Force Microscopy: Characterizing Particle–Surface Interactions Using Near-Field Photonics. Nano Letters. 15(2). 1414–1420. 25 indexed citations
14.
Kang, Pilgyu, et al.. (2015). Nanophotonic detection of freely interacting molecules on a single influenza virus. Scientific Reports. 5(1). 12087–12087. 39 indexed citations
15.
O’Dell, Dakota, Xavier Serey, Pilgyu Kang, & David Erickson. (2014). Localized Opto-Mechanical Control of Protein Adsorption onto Carbon Nanotubes. Scientific Reports. 4(1). 6707–6707. 2 indexed citations
16.
O’Dell, Dakota, Xavier Serey, & David Erickson. (2014). Self-assembled photonic-plasmonic nanotweezers for directed self-assembly of hybrid nanostructures. Applied Physics Letters. 104(4). 11 indexed citations
17.
O’Dell, Dakota, Xavier Serey, & David Erickson. (2014). Optomechanical manipulation of chemical reactions on the nanoscale with optofluidic nanotweezers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8976. 897613–897613. 1 indexed citations
18.
Erickson, David, Dakota O’Dell, Jiang Li, et al.. (2014). Smartphone technology can be transformative to the deployment of lab-on-chip diagnostics. Lab on a Chip. 14(17). 3159–3164. 143 indexed citations
19.
Oncescu, Vlad, Dakota O’Dell, & David Erickson. (2013). Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva. Lab on a Chip. 13(16). 3232–3232. 296 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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