Christopher W. Good

1.4k total citations
17 papers, 462 citations indexed

About

Christopher W. Good is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher W. Good has authored 17 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher W. Good's work include Cardiac Structural Anomalies and Repair (3 papers), Cardiac tumors and thrombi (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Christopher W. Good is often cited by papers focused on Cardiac Structural Anomalies and Repair (3 papers), Cardiac tumors and thrombi (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Christopher W. Good collaborates with scholars based in United States, United Kingdom and New Zealand. Christopher W. Good's co-authors include Brandon K. Fornwalt, Christopher M. Haggerty, Dustin N. Hartzel, Linyuan Jing, Gregory J Wehner, H. Lester Kirchner, Alvaro Ulloa, Joseph B. Leader, Jonathan D Suever and John G.F. Cleland and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Christopher W. Good

16 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher W. Good United States 8 338 140 76 59 50 17 462
Gregory J Wehner United States 13 506 1.5× 264 1.9× 104 1.4× 47 0.8× 35 0.7× 27 701
Julian S. Haimovich United States 7 177 0.5× 58 0.4× 52 0.7× 58 1.0× 44 0.9× 15 376
Sergio Sanchez‐Martinez Spain 8 276 0.8× 186 1.3× 56 0.7× 89 1.5× 74 1.5× 16 537
J. Gehring Germany 5 395 1.2× 119 0.8× 40 0.5× 31 0.5× 21 0.4× 14 513
Sravani Gajjala United States 3 329 1.0× 284 2.0× 70 0.9× 58 1.0× 38 0.8× 7 575
Piotr Sobieraj Poland 12 137 0.4× 103 0.7× 61 0.8× 45 0.8× 20 0.4× 39 506
Yu Horiuchi Japan 10 325 1.0× 89 0.6× 129 1.7× 15 0.3× 13 0.3× 51 515
Arash Mokhtari Sweden 10 277 0.8× 150 1.1× 65 0.9× 17 0.3× 25 0.5× 26 342
Joyee Basu United Kingdom 6 381 1.1× 36 0.3× 39 0.5× 25 0.4× 29 0.6× 21 453
Hiroto Kano Japan 15 526 1.6× 112 0.8× 138 1.8× 19 0.3× 13 0.3× 53 655

Countries citing papers authored by Christopher W. Good

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Good. 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 Christopher W. Good. The network helps show where Christopher W. Good may publish in the future.

Co-authorship network of co-authors of Christopher W. Good

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

All Works

17 of 17 papers shown
1.
Ulloa, Alvaro, Linyuan Jing, Christopher W. Good, et al.. (2021). Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality. Nature Biomedical Engineering. 5(6). 546–554. 45 indexed citations
2.
Jing, Linyuan, Alvaro Ulloa, Christopher W. Good, et al.. (2020). A Machine Learning Approach to Management of Heart Failure Populations. JACC Heart Failure. 8(7). 578–587. 47 indexed citations
3.
Raghunath, Sushravya, David P. vanMaanen, Joshua V. Stough, et al.. (2019). Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal. Circulation. 2 indexed citations
4.
Al‐Azizi, Karim, et al.. (2019). Papillary Fibroelastoma of the Ascending Aorta. Journal of Investigative Medicine High Impact Case Reports. 7. 2736305529–2736305529.
5.
Raghunath, Sushravya, Alvaro Ulloa, Dustin N. Hartzel, et al.. (2019). Deep neural networks can predict one-year mortality and incident atrial fibrillation from raw 12-lead electrocardiogram voltage data. Journal of Electrocardiology. 57. S104–S105. 2 indexed citations
6.
Wehner, Gregory J, Linyuan Jing, Christopher M. Haggerty, et al.. (2019). Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?. European Heart Journal. 41(12). 1249–1257. 179 indexed citations
7.
Samad, Manar D., Alvaro Ulloa, Gregory J Wehner, et al.. (2018). Predicting Survival From Large Echocardiography and Electronic Health Record Datasets. JACC. Cardiovascular imaging. 12(4). 681–689. 111 indexed citations
8.
Ulloa, Alvaro, Christopher W. Good, David P. vanMaanen, et al.. (2018). A deep neural network predicts survival after heart imaging better than cardiologists.. 2 indexed citations
9.
Alsaid, Amro, Peter J. Cawley, Terry D. Bauch, & Christopher W. Good. (2016). Hanging by a thread, severe mitral regurgitation due to accessory left atrial cord. European Heart Journal - Cardiovascular Imaging. 17(8). 943–943. 4 indexed citations
10.
Good, Christopher W., et al.. (2014). Primary Purulent Pericarditis with Cardiac Tamponade due to Oropharyngeal Polymicrobial Infection: A Case Report and Literature Review. The Korean Journal of Thoracic and Cardiovascular Surgery. 47(2). 155–159. 3 indexed citations
11.
Johal, Amitpal S., et al.. (2013). Left atrial thrombus incidentally discovered during EUS. Gastrointestinal Endoscopy. 78(3). 544–544. 1 indexed citations
12.
Skelding, Kimberly A., Jennifer Sartorius, G. Craig Wood, et al.. (2012). Frequency of Coronary Angiography and Revascularization among Men and Women with Myocardial Infarction and Their Relationship to Mortality at One Year: An Analysis of the Geisinger Myocardial Infarction Cohort. Journal of Interventional Cardiology. 26(1). 14–21. 15 indexed citations
13.
Good, Christopher W., Steven R. Steinhubl, Danielle M. Brennan, et al.. (2012). Is There a Clinically Significant Interaction Between Calcium Channel Antagonists and Clopidogrel?. Circulation Cardiovascular Interventions. 5(1). 77–81. 23 indexed citations
14.
Good, Christopher W. & Peter B. Berger. (2011). P2Y12 Antagonists in Acute Coronary Syndrome: In Whom Should They Be Started, and When?. Current Cardiology Reports. 13(4). 320–326. 2 indexed citations
15.
Skelding, Kimberly A., Peter B. Berger, James C. Blankenship, et al.. (2010). FREQUENCY OF CORONARY ANGIOGRAPHY AND REVASCULARIZATION AMONG MEN AND WOMEN WITH MYOCARDIAL INFARCTION AND THEIR RELATIONSHIP TO MORTALITY AT ONE YEAR: AN ANALYSIS OF THE GEISINGER MYOCARDIAL INFARCTION COHORT. Journal of the American College of Cardiology. 55(10). A120.E1124–A120.E1124. 1 indexed citations
16.
Good, Christopher W., et al.. (2009). Echocardiographic Guidance in Treatment of Cardiogenic Shock Complicating Transient Left Ventricular Apical Ballooning Syndrome. JACC. Cardiovascular imaging. 2(3). 372–374. 9 indexed citations
17.
Good, Christopher W., James C. Blankenship, Thomas D. Scott, et al.. (2009). Feasibility and safety of ad hoc percutaneous coronary intervention in the modern era.. PubMed. 21(5). 194–200. 16 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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