JoonNyung Heo

1.3k total citations · 1 hit paper
31 papers, 667 citations indexed

About

JoonNyung Heo is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, JoonNyung Heo has authored 31 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in JoonNyung Heo's work include Acute Ischemic Stroke Management (18 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Stroke Rehabilitation and Recovery (6 papers). JoonNyung Heo is often cited by papers focused on Acute Ischemic Stroke Management (18 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Stroke Rehabilitation and Recovery (6 papers). JoonNyung Heo collaborates with scholars based in South Korea, Canada and Singapore. JoonNyung Heo's co-authors include Hyo Suk Nam, Young Dae Kim, Ji Hoe Heo, Hyungjong Park, Jihoon G. Yoon, Hyung‐Jun Kim, Hyungwoo Lee, Yeon-Kyeng Lee, Sung Ok Hong and Mi-Jin Park and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

JoonNyung Heo

28 papers receiving 648 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke

2019 405 citations JoonNyung Heo, Jihoon G. Yoon et al. Stroke profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
JoonNyung Heo South Korea	10	342	147	133	120	100	31	667
Hyungjong Park South Korea	14	680 2.0×	400 2.7×	156 1.2×	74 0.6×	89 0.9×	50	1.1k
Esmée Venema Netherlands	18	620 1.8×	231 1.6×	214 1.6×	37 0.3×	25 0.3×	38	944
Prashant Warier United States	4	185 0.5×	70 0.5×	14 0.1×	290 2.4×	53 0.5×	5	845
Pieter Vandervoort Belgium	15	90 0.3×	87 0.6×	84 0.6×	73 0.6×	19 0.2×	44	785
Eric Chou United States	16	127 0.4×	106 0.7×	28 0.2×	48 0.4×	17 0.2×	66	893
Samer Alabed United Kingdom	18	98 0.3×	332 2.3×	44 0.3×	234 1.9×	9 0.1×	86	967
Vasantha Kumar Venugopal India	7	168 0.5×	81 0.6×	15 0.1×	325 2.7×	16 0.2×	23	785
Chun‐Ka Wong Hong Kong	14	78 0.2×	43 0.3×	62 0.5×	159 1.3×	22 0.2×	76	941
Hyunsun Lim South Korea	17	104 0.3×	62 0.4×	10 0.1×	108 0.9×	65 0.7×	59	786
Vivek Reddy United States	12	661 1.9×	366 2.5×	217 1.6×	31 0.3×	27 0.3×	25	835

Countries citing papers authored by JoonNyung Heo

Since Specialization

Citations

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

Fields of papers citing papers by JoonNyung Heo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JoonNyung Heo

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

All Works

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20 of 20 papers shown

Jung, Jae Wook, et al.. (2025). Association between intravenous antihypertensives and functional outcome after successful endovascular thrombectomy. Journal of the Neurological Sciences. 480. 125593–125593.

Kim, Hyeon Chang, Hokyou Lee, Hyeok‐Hee Lee, et al.. (2025). Korea Hypertension Fact Sheet 2024: nationwide population-based analysis with a focus on young adults. Clinical Hypertension. 31(1). e11–e11. 3 indexed citations

Heo, JoonNyung, Wi‐Sun Ryu, Jong‐Won Chung, et al.. (2025). Automated ischemic stroke lesion detection on non-contrast brain CT: a large-scale clinical feasibility test AI stroke lesion detection on NCCT. Frontiers in Neuroscience. 19. 1643479–1643479.

Heo, JoonNyung. (2025). Application of Artificial Intelligence in Acute Ischemic Stroke: A Scoping Review. Neurointervention. 20(1). 4–14. 5 indexed citations

Heo, JoonNyung, et al.. (2024). Combined use of anticoagulant and antiplatelet on outcome after stroke in patients with nonvalvular atrial fibrillation and systemic atherosclerosis. Scientific Reports. 14(1). 304–304. 5 indexed citations

Park, Hyungjong, Byung Moon Kim, Jong S. Kim, et al.. (2024). Long-Term Outcome of Rescue Stenting for Acute Intracranial Atherosclerotic Stenosis–Related Large Vessel Occlusion in the Anterior Circulation. American Journal of Neuroradiology. 46(5). 936–942.

Kim, Kwang Hyun, Jae Wook Jung, Young Dae Kim, et al.. (2024). Early vascular aging determined by brachial-ankle pulse wave velocity and its impact on ischemic stroke outcome: a retrospective observational study. Scientific Reports. 14(1). 13659–13659. 1 indexed citations

Lee, Hyungwoo, JoonNyung Heo, Jae Wook Jung, et al.. (2024). Arterial Stiffness Predicts the Outcome of Endovascular Treatment in Patients with Acute Ischemic Stroke. Journal of Clinical Medicine. 13(14). 4198–4198. 1 indexed citations

Heo, JoonNyung, Hyungwoo Lee, Jaewook Jeong, et al.. (2024). Long-term outcomes of patients with embolic stroke of undetermined source according to subtype. Scientific Reports. 14(1). 9295–9295. 1 indexed citations

10.

Heo, JoonNyung, et al.. (2023). Impact of Left Atrial or Left Atrial Appendage Thrombus on Stroke Outcome: A Matched Control Analysis. Journal of Stroke. 25(1). 111–118. 3 indexed citations

11.

Heo, JoonNyung, Jung Yoon Pyo, Sung Soo Ahn, et al.. (2023). Acute Brain Infarction in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis. JCR Journal of Clinical Rheumatology. 29(5). 217–222. 1 indexed citations

12.

Heo, JoonNyung, Joon-Ho Kim, Hyungwoo Lee, et al.. (2023). Prognostic value of central blood pressure on the outcomes of embolic stroke of undetermined source. Scientific Reports. 13(1). 9550–9550. 4 indexed citations

13.

Heo, JoonNyung, Jae Wook Jung, Joon-Ho Kim, et al.. (2022). Association between Low Ankle-Brachial Index and Poor Outcomes in Patients with Embolic Stroke of Undetermined Source. Journal of Clinical Medicine. 11(11). 3073–3073. 1 indexed citations

14.

Park, Junbeom, Jaemin Shim, Jung‐Myung Lee, et al.. (2022). Risks and Benefits of Early Rhythm Control in Patients With Acute Strokes and Atrial Fibrillation: A Multicenter, Prospective, Randomized Study (the RAFAS Trial). Journal of the American Heart Association. 11(3). e023391–e023391. 22 indexed citations

15.

Kim, Hyung‐Jun, et al.. (2022). Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study. Yonsei Medical Journal. 63(5). 422–422. 3 indexed citations

16.

Lee, Hyungwoo, JoonNyung Heo, Minyoul Baik, et al.. (2022). Impact of Sarcopenia on Functional Outcomes Among Patients With Mild Acute Ischemic Stroke and Transient Ischemic Attack: A Retrospective Study. Frontiers in Neurology. 13. 841945–841945. 29 indexed citations

17.

Kim, Young Dae, Il‐Hyung Lee, Hyungwoo Lee, et al.. (2021). Low Toe–Brachial Index Is Associated With Stroke Outcome Despite Normal Ankle–Brachial Index. Frontiers in Neurology. 12. 754258–754258. 2 indexed citations

18.

Kim, Hyung‐Jun, Jeong-Han Kim, Yeon-Kyeng Lee, et al.. (2020). An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study. Journal of Medical Internet Research. 22(11). e24225–e24225. 40 indexed citations

19.

Heo, JoonNyung, et al.. (2020). A Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis. Journal of Medical Internet Research. 22(11). e19665–e19665. 8 indexed citations

20.

Heo, JoonNyung, Jihoon G. Yoon, Hyungjong Park, et al.. (2019). Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke. Stroke. 50(5). 1263–1265. 405 indexed citations breakdown →

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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