Ryan J. Lennon

3.0k citations
38 papers · 1.6k indexed · 2 hit papers · h-index 17
Topics
Acute Myocardial Infarction Research (10 papers)Cardiac Imaging and Diagnostics (7 papers)Coronary Interventions and Diagnostics (7 papers)

In The Last Decade

Ryan J. Lennon

35 papers receiving 1.6k citations

Hit Papers

Spontaneous Coronary Artery Dissection201420262018202220142015100200300

Peers

Ryan J. Lennon
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 1.2k
  • Surgery 797
  • Radiology, Nuclear Medicine and Imaging 413
  • Pulmonary and Respiratory Medicine 280
  • Epidemiology 229
Replace Gyung‐Min Park with:
Gyung‐Min Park South Korea
Michele Correale Italy
Marco Chiostri Italy
Noritake Hata Japan
Yukihito Sato Japan
Audrey H. Wu United States
Kimi Sato Japan
Ricardo Fontes‐Carvalho Portugal
Gaetano Tanzilli Italy
Tiong Cheng Yeo Singapore
Ryan J. Lennon relative to Gyung‐Min Park South Korea Gyung‐Min Park's profile →
Citations per field
00.5×1.5×2.3×
Gyung‐Min Park · 1×
Citations per year

Countries citing papers authored by Ryan J. Lennon

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Lennon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Lennon. 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 Ryan J. Lennon. The network helps show where Ryan J. Lennon may publish in the future.

Co-authorship network of co-authors of Ryan J. Lennon

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan J. Lennon. A scholar is included among the top collaborators of Ryan J. Lennon 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 Ryan J. Lennon. Ryan J. Lennon 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
#WorkIndexed citations
1 3
2 5
3 26
4 13
5 8
6 8
7 28
8 5
9 18
10 19
11 31
12
Prevalence of Coronary Microvascular Dysfunction Among Patients With Chest Pain and Nonobstructive Coronary Artery Diseasebreakdown →
346
13 16
14 101
15 30
16 9
17 12
18 71
19 61
20 1

About Ryan J. Lennon

Ryan J. Lennon is a scholar working on Cardiology and Cardiovascular Medicine, Medical Laboratory Technology and Internal Medicine, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Coronary Interventions and Diagnostics (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Surgery (797 citations) and Radiology, Nuclear Medicine and Imaging (413 citations). Ryan J. Lennon has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Amir Lerman, Lilach O. Lerman, Rajiv Gulati, Charanjit S. Rihal, Yasushi Matsuzawa, R. Jay Widmer, Jaskanwal Deep Singh Sara, David R. Holmes, Patricia J.M. Best and Sharonne N. Hayes. Their work appears in journals such as Circulation, Gastroenterology and Journal of the American College of Cardiology.

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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