Scott Kaplin

975 total citations · 1 hit paper
17 papers, 510 citations indexed

About

Scott Kaplin is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Scott Kaplin has authored 17 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Scott Kaplin's work include Spaceflight effects on biology (2 papers), Climate Change and Health Impacts (2 papers) and Acute Myocardial Infarction Research (2 papers). Scott Kaplin is often cited by papers focused on Spaceflight effects on biology (2 papers), Climate Change and Health Impacts (2 papers) and Acute Myocardial Infarction Research (2 papers). Scott Kaplin collaborates with scholars based in United States, Belarus and Switzerland. Scott Kaplin's co-authors include Chayakrit Krittanawong, Zhen Wang, Hafeez Ul Hassan Virk, W.H. Wilson Tang, Bharat Narasimhan, Kipp W. Johnson, Jonathan L. Halperin, Usman Baber, Sripal Bangalore and Rachel Pinotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Scott Kaplin

15 papers receiving 485 citations

Hit Papers

Machine learning prediction in cardiovascular diseases: a... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Kaplin United States 9 143 136 95 72 60 17 510
Fatma Hilal Yağın Türkiye 15 76 0.5× 123 0.9× 166 1.7× 84 1.2× 82 1.4× 116 736
İbrahi̇m Karabayir United States 10 121 0.8× 39 0.3× 63 0.7× 38 0.5× 52 0.9× 28 377
Yikuan Li United Kingdom 9 93 0.7× 178 1.3× 344 3.6× 17 0.2× 61 1.0× 14 601
Lejla Gurbeta Bosnia and Herzegovina 13 40 0.3× 117 0.9× 56 0.6× 19 0.3× 49 0.8× 23 508
Konstantia Zarkogianni Greece 15 66 0.5× 246 1.8× 184 1.9× 29 0.4× 29 0.5× 29 639
Leah M. Wilson United States 17 68 0.5× 79 0.6× 57 0.6× 40 0.6× 61 1.0× 35 836
Luis Vigil Spain 15 189 1.3× 49 0.4× 45 0.5× 83 1.2× 27 0.5× 33 540
Yi‐Ting Chen Taiwan 11 94 0.7× 18 0.1× 76 0.8× 106 1.5× 42 0.7× 19 642
Woo‐Sung Kim South Korea 14 66 0.5× 48 0.4× 130 1.4× 91 1.3× 77 1.3× 44 873
Chun‐An Cheng Taiwan 13 63 0.4× 71 0.5× 29 0.3× 36 0.5× 20 0.3× 54 435

Countries citing papers authored by Scott Kaplin

Since Specialization
Citations

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

Fields of papers citing papers by Scott Kaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Kaplin

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Kaplin. A scholar is included among the top collaborators of Scott Kaplin 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 Scott Kaplin. Scott Kaplin 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.
Krittanawong, Chayakrit, Ameesh Isath, Scott Kaplin, et al.. (2023). Cardiovascular disease in space: A systematic review. Progress in Cardiovascular Diseases. 81. 33–41. 15 indexed citations
2.
Krittanawong, Chayakrit, Nitin K. Singh, Richard A. Scheuring, et al.. (2022). Human Health during Space Travel: State-of-the-Art Review. Cells. 12(1). 40–40. 62 indexed citations
3.
Krittanawong, Chayakrit, Kipp W. Johnson, Edward Choi, et al.. (2022). Artificial Intelligence and Cardiovascular Genetics. Life. 12(2). 279–279. 32 indexed citations
4.
Krittanawong, Chayakrit, Hafeez Ul Hassan Virk, Sonya Fogg, et al.. (2022). Association of Optimism with Cardiovascular Events and All-Cause Mortality: Systematic Review and Meta-Analysis. The American Journal of Medicine. 135(7). 856–863.e2. 28 indexed citations
5.
Krittanawong, Chayakrit, Bing Yue, Dhruv Mahtta, et al.. (2021). Hospital Readmission in Patients With Spontaneous Coronary Artery Dissection. The American Journal of Cardiology. 151. 39–44. 7 indexed citations
6.
Krittanawong, Chayakrit, Ameesh Isath, Zhen Wang, et al.. (2021). Association Between Cinnamon Consumption and Risk of Cardiovascular Health: A Systematic Review and Meta-Analysis. The American Journal of Medicine. 135(1). 110–117. 6 indexed citations
7.
Krittanawong, Chayakrit, Ameesh Isath, Zhen Wang, et al.. (2021). Fish Consumption and Cardiovascular Health: A Systematic Review. The American Journal of Medicine. 134(6). 713–720. 43 indexed citations
8.
Narasimhan, Bharat, Scott Kaplin, Harish Narasimhan, et al.. (2021). Trends in pneumococcal vaccination in patients presenting with acute coronary syndrome in the United States. Progress in Cardiovascular Diseases. 67. 111–113.
9.
Krittanawong, Chayakrit, Hafeez Ul Hassan Virk, Craig L. Katz, et al.. (2021). Association of Social Gaming with Well-Being (Escape COVID-19): A Sentiment Analysis. The American Journal of Medicine. 135(2). 254–257. 6 indexed citations
10.
Krittanawong, Chayakrit, Hafeez Ul Hassan Virk, Kevin L. Greason, et al.. (2021). LEVERAGING MACHINE LEARNING MODELS TO PREDICT IN-HOSPITAL MORTALITY AFTER MITRACLIP. Journal of the American College of Cardiology. 77(18). 940–940. 1 indexed citations
11.
Krittanawong, Chayakrit, Mehmet Aydar, Hafeez Ul Hassan Virk, et al.. (2021). Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine. Canadian Journal of Cardiology. 38(2). 185–195. 21 indexed citations
12.
Krittanawong, Chayakrit & Scott Kaplin. (2021). Artificial Intelligence in Global Health. European Heart Journal. 42(24). 2321–2322. 8 indexed citations
13.
Krittanawong, Chayakrit, Hafeez Ul Hassan Virk, Sripal Bangalore, et al.. (2020). Machine learning prediction in cardiovascular diseases: a meta-analysis. Scientific Reports. 10(1). 16057–16057. 264 indexed citations breakdown →
14.
Krittanawong, Chayakrit, Anirudh Kumar, Kipp W. Johnson, et al.. (2019). Prevalence, Presentation, and Associated Conditions of Patients With Fibromuscular Dysplasia. The American Journal of Cardiology. 123(7). 1169–1172. 3 indexed citations
15.
Krittanawong, Chayakrit, Anirudh Kumar, Zhen Wang, et al.. (2019). Predictors of In-Hospital Mortality after Transcatheter Aortic Valve Implantation. The American Journal of Cardiology. 125(2). 251–257. 11 indexed citations
16.
Kaplin, Scott, et al.. (2019). A Rare Case of Mad Honey Disease. SHILAP Revista de lepidopterología. 1(4). 579–582. 3 indexed citations
17.
Chen, Aileen B., et al.. (2017). Prospective Study of Infrared-Guided Patient Setup for Fractionated Thoracic Radiation. International Journal of Medical Physics Clinical Engineering and Radiation Oncology. 6(3). 313–322.

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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