Darlene King

464 total citations
16 papers, 310 citations indexed

About

Darlene King is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Darlene King has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Biomedical Engineering. Recurrent topics in Darlene King's work include Optical Imaging and Spectroscopy Techniques (8 papers), Infrared Thermography in Medicine (4 papers) and Digital Mental Health Interventions (3 papers). Darlene King is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (8 papers), Infrared Thermography in Medicine (4 papers) and Digital Mental Health Interventions (3 papers). Darlene King collaborates with scholars based in United States. Darlene King's co-authors include J. Michael DiMaio, Jeffrey E. Thatcher, John J. Squiers, Yulin Wang, Stephen C. Kanick, John Torous, Weizhi Li, José Á. Martínez-Lorenzo, Joel Stoddard and Jay H. Shore and has published in prestigious journals such as NeuroImage, Journal of Affective Disorders and Psychiatric Services.

In The Last Decade

Darlene King

14 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darlene King United States	10	109	70	65	58	54	16	310
Paul Rinne United Kingdom	8	51 0.5×	50 0.7×	117 1.8×	110 1.9×	6 0.1×	10	375
Ravi Komatireddy United States	6	22 0.2×	120 1.7×	32 0.5×	27 0.5×	24 0.4×	6	491
Alistair M. Glidden United States	6	14 0.1×	54 0.8×	40 0.6×	36 0.6×	20 0.4×	6	529
Jakub Grzegorz Adamczyk Poland	14	89 0.8×	64 0.9×	95 1.5×	14 0.2×	4 0.1×	90	618
Robert Gajda Poland	13	8 0.1×	52 0.7×	79 1.2×	18 0.3×	14 0.3×	68	482
Zoltán Dénes Hungary	12	25 0.2×	22 0.3×	134 2.1×	51 0.9×	6 0.1×	41	470
Benjamin D. Wissel United States	12	38 0.3×	79 1.1×	11 0.2×	40 0.7×	4 0.1×	16	472
Zehava Ovadia‐Blechman Israel	13	100 0.9×	55 0.8×	57 0.9×	11 0.2×	6 0.1×	27	316
Mingxiao Liu China	10	12 0.1×	21 0.3×	38 0.6×	35 0.6×	7 0.1×	39	384
Ana Luiza Dallora Sweden	11	92 0.8×	58 0.8×	4 0.1×	37 0.6×	8 0.1×	25	464

Countries citing papers authored by Darlene King

Since Specialization

Citations

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

Fields of papers citing papers by Darlene King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darlene King

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

All Works

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16 of 16 papers shown

Hua, Yining, David W. Bates, Michael Lingzhi Li, et al.. (2025). Standardizing and Scaffolding Health Care AI-Chatbot Evaluation: Systematic Review. PubMed. 4. e69006–e69006.

Potash, James B., J. A. Davidson, William E. Butler, et al.. (2025). The Future of the Psychiatrist. PubMed. 7(2). 80–90.

King, Darlene, et al.. (2023). Methods for Navigating the Mobile Mental Health App Landscape for Clinical Use. Current Treatment Options in Psychiatry. 10(2). 72–86. 11 indexed citations

King, Darlene, et al.. (2023). An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance. Current Psychiatry Reports. 25(12). 839–846. 33 indexed citations

Lagan, Sarah, Margaret R. Emerson, Darlene King, et al.. (2021). Mental Health App Evaluation: Updating the American Psychiatric Association’s Framework Through a Stakeholder-Engaged Workshop. Psychiatric Services. 72(9). 1095–1098. 37 indexed citations

King, Darlene, et al.. (2020). Relationship between novel inflammatory biomarker galectin-3 and depression symptom severity in a large community-based sample. Journal of Affective Disorders. 281. 384–389. 15 indexed citations

King, Darlene, et al.. (2020). Relationship between inflammatory biomarker galectin-3 and hippocampal volume in a community study. Journal of Neuroimmunology. 348. 577386–577386. 2 indexed citations

Thatcher, Jeffrey E., et al.. (2018). Burn-injured tissue detection for debridement surgery through the combination of non-invasive optical imaging techniques. Biomedical Optics Express. 9(4). 1809–1809. 18 indexed citations

Plant, Kevin, Darlene King, Brian P. McCall, et al.. (2017). Assessment of a noninvasive optical photoplethysmography imaging device with dynamic tissue phantom models. Journal of Biomedical Optics. 22(9). 1–1. 6 indexed citations

10.

Thatcher, Jeffrey E., John J. Squiers, Stephen C. Kanick, et al.. (2016). Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging. Advances in Wound Care. 5(8). 360–378. 72 indexed citations

11.

Liu, Peiying, Babu G. Welch, Yang Li, et al.. (2016). Multiparametric imaging of brain hemodynamics and function using gas-inhalation MRI. NeuroImage. 146. 715–723. 30 indexed citations

12.

Squiers, John J., Weizhi Li, Darlene King, et al.. (2016). Multispectral imaging burn wound tissue classification system: a comparison of test accuracies between several common machine learning algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 97853L–97853L. 3 indexed citations

13.

Thatcher, Jeffrey E., et al.. (2016). Non-invasive optical imaging techniques for burn-injured tissue detection for debridement surgery. PubMed. 1. 2893–2896. 11 indexed citations

14.

Thatcher, Jeffrey E., Weizhi Li, Yolanda Rodriguez‐Vaqueiro, et al.. (2015). Multispectral and Photoplethysmography Optical Imaging Techniques Identify Important Tissue Characteristics in an Animal Model of Tangential Burn Excision. Journal of Burn Care & Research. 37(1). 38–52. 28 indexed citations

15.

King, Darlene, Weizhi Li, John J. Squiers, et al.. (2015). Surgical wound debridement sequentially characterized in a porcine burn model with multispectral imaging. Burns. 41(7). 1478–1487. 37 indexed citations

16.

Thatcher, Jeffrey E., et al.. (2014). Dynamic tissue phantoms and their use in assessment of a noninvasive optical plethysmography imaging device. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9107. 910718–910718. 7 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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