Camden Bay

2.1k total citations · 1 hit paper
82 papers, 1.2k citations indexed

About

Camden Bay is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Camden Bay has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in Camden Bay's work include Radiation Dose and Imaging (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and HIV Research and Treatment (5 papers). Camden Bay is often cited by papers focused on Radiation Dose and Imaging (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and HIV Research and Treatment (5 papers). Camden Bay collaborates with scholars based in United States, China and Finland. Camden Bay's co-authors include Barcey T. Levy, Giles W. Boland, Kathryn M. Rexrode, Nityanand Miskin, Jeanette M. Daly, Hyesun Park, Bharti Khurana, Kirti Magudia, Mitchel B. Harris and Steven E. Seltzer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Radiology.

In The Last Decade

Camden Bay

78 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exacerbation of Physical Intimate Partner Violence during COVID-19 Pandemic

2020 184 citations Camden Bay, Mitchel B. Harris et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Camden Bay United States	18	287	187	174	171	138	82	1.2k
Julia F. Simard United States	36	223 0.8×	283 1.5×	174 1.0×	78 0.5×	295 2.1×	126	3.6k
Alison L. Park Canada	22	131 0.5×	133 0.7×	127 0.7×	91 0.5×	177 1.3×	76	2.4k
Domenica Matranga Italy	26	340 1.2×	248 1.3×	166 1.0×	87 0.5×	409 3.0×	124	2.1k
Peng Bai China	16	99 0.3×	373 2.0×	229 1.3×	68 0.4×	135 1.0×	52	2.1k
Anna C. Snavely United States	19	103 0.4×	207 1.1×	138 0.8×	91 0.5×	208 1.5×	101	994
Yin‐Bun Cheung Singapore	25	770 2.7×	369 2.0×	95 0.5×	93 0.5×	122 0.9×	42	2.2k
Liraz Olmer Israel	23	118 0.4×	221 1.2×	118 0.7×	144 0.8×	166 1.2×	64	1.7k
Elham Hatef United States	26	389 1.4×	175 0.9×	76 0.4×	227 1.3×	104 0.8×	70	1.9k
Lori B. Tucker Canada	36	267 0.9×	109 0.6×	111 0.6×	43 0.3×	414 3.0×	127	3.7k
Marlene Camacho‐Rivera United States	16	69 0.2×	325 1.7×	275 1.6×	117 0.7×	102 0.7×	76	1.2k

Countries citing papers authored by Camden Bay

Since Specialization

Citations

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

Fields of papers citing papers by Camden Bay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camden Bay

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

All Works

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20 of 20 papers shown

Potter, Christopher A., et al.. (2024). Change in Emergency Department Length of Stay following Routine Adoption of Dual-Energy CT to Differentiate Intracranial Hemorrhage from Calcification. American Journal of Neuroradiology. 46(5). 950–955.

Bay, Camden, Robert J. Glynn, Johanna M. Seddon, Mei‐Ling Ting Lee, & Bernard Rosner. (2023). Evaluation of Risk Prediction with Hierarchical Data: Dependency Adjusted Confidence Intervals for the AUC. SHILAP Revista de lepidopterología. 6(2). 526–538. 1 indexed citations

Palotai, Miklós, Glenn J. Hanna, Jonathan D. Schoenfeld, et al.. (2023). Diagnostic performance of computed tomography features in detecting oropharyngeal squamous cell carcinoma extranodal extension. European Radiology. 33(5). 3693–3703. 9 indexed citations

Weber, Brittany, Daniel Huck, Andy Kim, et al.. (2022). Prior SARS‐CoV‐2 Infection Is Associated With Coronary Vasomotor Dysfunction as Assessed by Coronary Flow Reserve From Cardiac Positron Emission Tomography. Journal of the American Heart Association. 11(20). e025844–e025844. 8 indexed citations

Ritland, Bradley M., William H. Neumeier, Carl D. Smith, et al.. (2022). Short‐term neurochemical effects of transcutaneous trigeminal nerve stimulation using 7T magnetic resonance spectroscopy. Journal of Neuroimaging. 33(2). 279–288. 5 indexed citations

Cuddy, Sarah, Sean Murphy, Camden Bay, et al.. (2022). Optimal Echocardiographic Parameters to Improve the Diagnostic Yield of Tc-99m-Bone Avid Tracer Cardiac Scintigraphy for Transthyretin Cardiac Amyloidosis. Circulation Cardiovascular Imaging. 15(11). e014645–e014645. 13 indexed citations

Brown, Jeremy R. Glissen, Umar Hayat, Camden Bay, et al.. (2022). Impact of second-generation transoral incisionless fundoplication on atypical GERD symptoms: a systematic review and meta-analysis. Gastrointestinal Endoscopy. 97(3). 394–406.e2. 12 indexed citations

Yu, HeiShun, et al.. (2022). Automated CT reformations reduce time and variability in trauma panscan exam completion. Emergency Radiology. 29(3). 461–469. 2 indexed citations

Laur, Olga, Michael J. Weaver, Christopher P. Bridge, et al.. (2021). Computed tomography-based body composition profile as a screening tool for geriatric frailty detection. Skeletal Radiology. 51(7). 1371–1380. 8 indexed citations

10.

Weber, Brittany, Emma Stevens, Camden Bay, et al.. (2021). Coronary Microvascular Dysfunction in Systemic Lupus Erythematosus. Journal of the American Heart Association. 10(13). e018555–e018555. 32 indexed citations

11.

Cubbison, Caroline, Ashish Rai, Kevin McDonald, et al.. (2021). Effect of Palliative Care Curriculum on Serious Illness Conversation Preparedness. ATS Scholar. 2(4). 642–650. 4 indexed citations

12.

Yeh, Eren D., Faina Nakhlis, Camden Bay, et al.. (2021). MRI Changes in Breast Skin Following Preoperative Therapy for Patients with Inflammatory Breast Cancer. Academic Radiology. 29(5). 637–647.

13.

Magudia, Kirti, Christopher P. Bridge, Camden Bay, et al.. (2020). Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves. Radiology. 298(2). 319–329. 98 indexed citations

14.

Santos, Felipe, Daniel J. Lee, David H. Jung, et al.. (2020). Topical fibroblast growth factor‐2 for treatment of chronic tympanic membrane perforations. Laryngoscope Investigative Otolaryngology. 5(4). 657–664. 10 indexed citations

15.

Qin, Lei, Camden Bay, Xin Chen, et al.. (2020). Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction. 99–99. 3 indexed citations

16.

Cheng, Teresa, Tina Kapur, Camden Bay, et al.. (2020). Vaginal recurrence of endometrial cancer: MRI characteristics and correlation with patient outcome after salvage radiation therapy. Abdominal Radiology. 45(4). 1122–1131. 10 indexed citations

17.

Qin, Lei, Camden Bay, Xin Chen, et al.. (2019). Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas. American Journal of Neuroradiology. 41(1). 40–48. 82 indexed citations

18.

Baumrin, Emily, Jessica St. John, Mai P. Hoang, et al.. (2019). Prognostic implications of normal or minimal urinary findings on long-term renal impairment in adults with Henoch-Schönlein purpura. Journal of the American Academy of Dermatology. 82(6). 1393–1399. 5 indexed citations

19.

Daly, Jeanette M., Camden Bay, Barcey T. Levy, & Ryan M. Carnahan. (2015). Caring for people with dementia and challenging behaviors in nursing homes: A needs assessment geriatric nursing. Geriatric Nursing. 36(3). 182–191. 13 indexed citations

20.

Bay, Camden, Philip L. Cyr, & I. Jensen. (2014). Estimating The Value Of Cangrelor From Eliminating Preloading In Coronary Artery Bypass Graft (Cabg) Patients. Value in Health. 17(7). A480–A480.

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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