Chad Klochko

576 total citations
27 papers, 343 citations indexed

About

Chad Klochko is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Chad Klochko has authored 27 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Epidemiology. Recurrent topics in Chad Klochko's work include Radiology practices and education (8 papers), Shoulder Injury and Treatment (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Chad Klochko is often cited by papers focused on Radiology practices and education (8 papers), Shoulder Injury and Treatment (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Chad Klochko collaborates with scholars based in United States. Chad Klochko's co-authors include Neo Poyiadji, Jeffrey Nadig, Mohamad Omar Hadied, Thomas Song, David L. Spizarny, Edward L. Peterson, Pallavi Bhargava, Safwan S. Halabi, Brent Griffith and Matthew J. O’Brien and has published in prestigious journals such as Radiology, Journal of Biomechanics and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Chad Klochko

24 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Klochko United States 9 137 112 93 81 57 27 343
Kevin Coppa United States 8 149 1.1× 41 0.4× 84 0.9× 88 1.1× 43 0.8× 13 271
Vittorio Pazzanese Italy 11 105 0.8× 52 0.5× 47 0.5× 22 0.3× 196 3.4× 21 436
Wouter M. van Everdingen Netherlands 13 318 2.3× 349 3.1× 136 1.5× 16 0.2× 86 1.5× 28 855
Samuel Z. Maron United States 9 168 1.2× 233 2.1× 93 1.0× 5 0.1× 79 1.4× 22 494
Dario Pellegrini Italy 13 319 2.3× 140 1.3× 76 0.8× 29 0.4× 176 3.1× 29 722
L. Ibáñez Sanz Spain 8 71 0.5× 70 0.6× 20 0.2× 12 0.1× 88 1.5× 38 273
Francesco Franceschi Italy 8 102 0.7× 100 0.9× 40 0.4× 17 0.2× 22 0.4× 12 292
Danielle Toussie United States 6 173 1.3× 243 2.2× 91 1.0× 4 0.0× 26 0.5× 18 418
Bienvenido Sanchez Switzerland 3 198 1.4× 24 0.2× 96 1.0× 120 1.5× 42 0.7× 4 315
Neelkumar Patel United States 10 87 0.6× 31 0.3× 30 0.3× 64 0.8× 108 1.9× 36 400

Countries citing papers authored by Chad Klochko

Since Specialization
Citations

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

Fields of papers citing papers by Chad Klochko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Klochko

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Klochko. A scholar is included among the top collaborators of Chad Klochko 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 Chad Klochko. Chad Klochko 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.
Klochko, Chad, et al.. (2025). Enhancing Radiology Clinical Histories Through Transformer-Based Automated Clinical Note Summarization. Journal of Imaging Informatics in Medicine. 39(1). 1031–1039.
2.
Klochko, Chad, et al.. (2024). Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning. Journal of Imaging Informatics in Medicine. 38(2). 838–849. 1 indexed citations
3.
Lawrence, Rebekah L., et al.. (2024). A novel 3D MRI-based approach for assessing supraspinatus muscle length. Journal of Biomechanics. 168. 112110–112110.
4.
Poyiadji, Neo, Chad Klochko, & Brent Griffith. (2023). Radiology Resident Diagnostic In-Training Exam Scores: Impact of Subspecialty Imaging Volume and Rotation Scheduling. Current Problems in Diagnostic Radiology. 53(1). 111–113.
6.
Lawrence, Rebekah L., et al.. (2022). Predictors of infraspinatus muscle degeneration in individuals with an isolated supraspinatus tendon tear. Skeletal Radiology. 52(4). 695–703. 2 indexed citations
8.
Laucis, Nicholas C., et al.. (2021). Sonographic evaluation of the association between calcific tendinopathy and rotator cuff tear: a case-controlled comparison. Clinical Rheumatology. 40(7). 2897–2905. 9 indexed citations
9.
Bodendorfer, Blake M., Nicholas C. Laucis, David X. Wang, et al.. (2021). Significant variability exists in preoperative planning software measures of glenoid morphology for shoulder arthroplasty. Seminars in Arthroplasty JSES. 32(1). 82–92. 3 indexed citations
11.
Poyiadji, Neo, et al.. (2020). Impact of the COVID-19 pandemic on radiology physician work RVUs at a large subspecialized radiology practice. Clinical Imaging. 73. 38–42. 4 indexed citations
12.
Hadied, Mohamad Omar, Neo Poyiadji, Chad Klochko, et al.. (2020). Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories. Academic Radiology. 27(11). 1499–1506. 16 indexed citations
13.
Khalil, Lafi S., Fabien Meta, Joseph S. Tramer, et al.. (2020). Elbow Torque Is Reduced in Asymptomatic College Pitchers With Elbow Laxity: A Dynamic Ultrasound Study. Arthroscopy The Journal of Arthroscopic and Related Surgery. 37(3). 852–861. 8 indexed citations
14.
Poyiadji, Neo, et al.. (2020). COVID-19 and Radiology Resident Imaging Volumes–Differential Impact by Resident Training Year and Imaging Modality. Academic Radiology. 28(1). 106–111. 18 indexed citations
15.
Kelley, Brendan, et al.. (2019). Sonographic Diagnosis of Velamentous and Marginal Placental Cord Insertion. Ultrasound Quarterly. 36(3). 247–254. 9 indexed citations
16.
Klochko, Chad, et al.. (2018). Order Entry Protocols Are an Amenable Target for Workflow Automation. Journal of the American College of Radiology. 15(6). 854–858. 8 indexed citations
17.
Klochko, Chad, et al.. (2018). Chest Radiographic Appearance of Minimally Invasive Cardiac Implants and Support Devices: What the Radiologist Needs to Know. Current Problems in Diagnostic Radiology. 48(3). 274–288. 1 indexed citations
18.
Moriarty, Andrew K., et al.. (2017). Evaluating the Effect of Unstructured Clinical Information on Clinical Decision Support Appropriateness Ratings. Journal of the American College of Radiology. 14(6). 737–743. 4 indexed citations
19.
Moriarty, Andrew K., Chad Klochko, Matthew J. O’Brien, & Safwan S. Halabi. (2015). The Effect of Clinical Decision Support for Advanced Inpatient Imaging. Journal of the American College of Radiology. 12(4). 358–363. 29 indexed citations
20.
Kelley, Brendan, Chad Klochko, Safwan S. Halabi, & Daniel Siegal. (2015). Datafish Multiphase Data Mining Technique to Match Multiple Mutually Inclusive Independent Variables in Large PACS Databases. Journal of Digital Imaging. 29(3). 331–336. 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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