Joseph Coco

520 total citations
21 papers, 282 citations indexed

About

Joseph Coco is a scholar working on Surgery, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joseph Coco has authored 21 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joseph Coco's work include Healthcare Technology and Patient Monitoring (4 papers), COVID-19 diagnosis using AI (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Joseph Coco is often cited by papers focused on Healthcare Technology and Patient Monitoring (4 papers), COVID-19 diagnosis using AI (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Joseph Coco collaborates with scholars based in United States, Canada and Belgium. Joseph Coco's co-authors include Christopher M. Taylor, Erik K. Flemington, Daniel Fabbri, Michael J. Strong, Zhen Lin, Guorong Xu, Melody Baddoo, Kenneth F. Swan, Amy L. Strong and Teresa A. Lehman and has published in prestigious journals such as PEDIATRICS, Journal of Virology and PLoS Pathogens.

In The Last Decade

Joseph Coco

20 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Coco United States 8 131 52 50 43 41 21 282
Xiaobei Chen China 9 168 1.3× 114 2.2× 37 0.7× 55 1.3× 60 1.5× 20 531
Sebastian Wolf Germany 11 89 0.7× 43 0.8× 89 1.8× 43 1.0× 38 0.9× 39 316
Dexin Gong China 11 265 2.0× 41 0.8× 122 2.4× 31 0.7× 19 0.5× 24 544
Yi Xin Tong China 10 124 0.9× 63 1.2× 35 0.7× 54 1.3× 15 0.4× 20 522
Naim Abu‐Freha Israel 12 100 0.8× 62 1.2× 78 1.6× 144 3.3× 15 0.4× 61 406
Ronald L. Weiss United States 12 41 0.3× 34 0.7× 33 0.7× 28 0.7× 30 0.7× 37 326
Marzia Franceschilli Italy 8 75 0.6× 42 0.8× 109 2.2× 60 1.4× 33 0.8× 21 296
Rebecca Collins United States 9 110 0.8× 101 1.9× 42 0.8× 20 0.5× 66 1.6× 15 622
Patumrat Sripan Thailand 12 99 0.8× 30 0.6× 66 1.3× 85 2.0× 8 0.2× 62 385
Ai Miyoshi Japan 10 59 0.5× 30 0.6× 82 1.6× 122 2.8× 13 0.3× 65 317

Countries citing papers authored by Joseph Coco

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Coco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Coco

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Coco. A scholar is included among the top collaborators of Joseph Coco 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 Joseph Coco. Joseph Coco 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
1.
Were, Martin C., Ang Li, Bradley Malin, et al.. (2025). Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health. Journal of Medical Internet Research. 27. e73996–e73996. 1 indexed citations
2.
Bélisle‐Pipon, Jean‐Christophe, Barbara J. Evans, Kadija Ferryman, et al.. (2024). Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process. JAMIA Open. 7(4). ooae108–ooae108. 7 indexed citations
3.
4.
Spieker, Andrew J., Lyndsay A. Nelson, Russell L. Rothman, et al.. (2022). Feasibility and Short‐Term Effects of a Multi‐Component Emergency Department Blood Pressure Intervention: A Pilot Randomized Trial. Journal of the American Heart Association. 11(5). e024339–e024339. 3 indexed citations
5.
Nelson, Lyndsay A., Andrew J. Spieker, Sunil Kripalani, et al.. (2021). User preferences for and engagement with text messages to support antihypertensive medication adherence: Findings from a pilot study evaluating an emergency department-based behavioral intervention. Patient Education and Counseling. 105(6). 1606–1613. 8 indexed citations
6.
Ye, Cheng, et al.. (2021). Extracting Medical Information from Paper COVID-19 Assessment Forms. Applied Clinical Informatics. 12(1). 170–178. 5 indexed citations
7.
Poon, Sabrina J., Christianne L. Roumie, Daniel Fabbri, et al.. (2020). Association of Elevated Blood Pressure in the Emergency Department With Chronically Elevated Blood Pressure. Journal of the American Heart Association. 9(12). e015985–e015985. 9 indexed citations
8.
9.
Wanderer, Jonathan P., Thomas A. Lasko, Joseph Coco, et al.. (2020). Visualization of aggregate perioperative data improves anesthesia case planning: A randomized, cross-over trial. Journal of Clinical Anesthesia. 68. 110114–110114. 3 indexed citations
10.
Li, Lingfeng, et al.. (2020). Emergency Clinical Procedure Detection With Deep Learning. PubMed. 2020. 158–163. 1 indexed citations
11.
McNaughton, Candace D., Joseph Coco, Laurie L. Novak, et al.. (2019). Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System.. PubMed. 2019. 248–257. 6 indexed citations
12.
Monahan, Ken, Cheng Ye, Edward Gould, et al.. (2019). Copy-and-Paste in Medical Student Notes: Extent, Temporal Trends, and Relationship to Scholastic Performance. Applied Clinical Informatics. 10(3). 479–486. 6 indexed citations
13.
Carroll, Robert J., Joseph Coco, John J. Lima, et al.. (2019). CYP2C19 Phenotype and Risk of Proton Pump Inhibitor–Associated Infections. PEDIATRICS. 144(6). e20190857–e20190857. 30 indexed citations
14.
Tkaczyk, Eric R., Joseph Coco, Jianing Wang, et al.. (2019). Crowdsourcing to delineate skin affected by chronic graft‐vs‐host disease. Skin Research and Technology. 25(4). 572–577. 4 indexed citations
15.
Sullivan, Paul, Candace D. McNaughton, Jesse M. Ehrenfeld, et al.. (2019). Heatmap generation for emergency medical procedure identification. 110–110. 3 indexed citations
16.
Jeffery, Alvin D., Mary S. Dietrich, Daniel Fabbri, et al.. (2018). Advancing In-Hospital Clinical Deterioration Prediction Models. American Journal of Critical Care. 27(5). 381–391. 11 indexed citations
17.
Ye, Cheng, Joseph Coco, Chen Hajaj, et al.. (2018). A Crowdsourcing Framework for Medical Data Sets.. PubMed. 2017. 273–280. 18 indexed citations
18.
Strong, Michael J., Guorong Xu, Joseph Coco, et al.. (2013). Differences in Gastric Carcinoma Microenvironment Stratify According to EBV Infection Intensity: Implications for Possible Immune Adjuvant Therapy. PLoS Pathogens. 9(5). e1003341–e1003341. 128 indexed citations
19.
Lin, Zhen, Joseph Coco, Guorong Xu, et al.. (2012). Detection of Murine Leukemia Virus in the Epstein-Barr Virus-Positive Human B-Cell Line JY, Using a Computational RNA-Seq-Based Exogenous Agent Detection Pipeline, PARSES. Journal of Virology. 86(6). 2970–2977. 24 indexed citations
20.
Coco, Joseph, Erik K. Flemington, & Christopher M. Taylor. (2011). PARSES: A Pipeline for Analysis of RNA-Seq Exogenous Sequences.. 196–200. 4 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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