Eun Jin Ha

804 total citations
57 papers, 464 citations indexed

About

Eun Jin Ha is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eun Jin Ha has authored 57 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 14 papers in Epidemiology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eun Jin Ha's work include Intracranial Aneurysms: Treatment and Complications (17 papers), Traumatic Brain Injury and Neurovascular Disturbances (16 papers) and Moyamoya disease diagnosis and treatment (9 papers). Eun Jin Ha is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (17 papers), Traumatic Brain Injury and Neurovascular Disturbances (16 papers) and Moyamoya disease diagnosis and treatment (9 papers). Eun Jin Ha collaborates with scholars based in South Korea, United States and Ethiopia. Eun Jin Ha's co-authors include Won‐Sang Cho, Hyun‐Seung Kang, Jeong Eun Kim, Tae Sun Ha, Kyung Hyun Kim, Sang‐Bae Ko, Ji‐Hyun Lee, Tae Jung Kim, Dong Jin Shin and Yoonkyung Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Eun Jin Ha

45 papers receiving 451 citations

Peers

Eun Jin Ha

NEURO

PRM

EPIDE

RHEUM

Özden Özgür Horoz Türkiye

Ran Lee South Korea

Antonis Vakis Greece

Judd H. Fastenberg United States

Carolina Samuelsson Sweden

M Chaussain France

J. Marey López Spain

V. Flurin France

Angelo Camaioni Italy

Elena Caresta Italy

Özden Özgür Horoz Türkiye

Eun Jin Ha

57 ×0.3

NEURO

108 ×1.1

PRM

101 ×1.1

EPIDE

22 ×0.3

RHEUM

31 ×0.4

Citations per year, relative to Eun Jin Ha Eun Jin Ha (= 1×) peers Özden Özgür Horoz

Countries citing papers authored by Eun Jin Ha

Since Specialization

Citations

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

Fields of papers citing papers by Eun Jin Ha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Jin Ha. 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 Eun Jin Ha. The network helps show where Eun Jin Ha may publish in the future.

Co-authorship network of co-authors of Eun Jin Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Jin Ha. A scholar is included among the top collaborators of Eun Jin Ha 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 Eun Jin Ha. Eun Jin Ha 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

Ha, Eun Jin, Jin Hyung Kim, Jeong Eun Kim, et al.. (2025). Prediction of Cerebral Hyperperfusion Syndrome After Combined Bypass Surgery in Moyamoya Disease Using Hemodynamic and Clinical Data. Clinical Nuclear Medicine. 50(7). 588–595.

Jeon, Jooeun, Eun Jin Ha, Chi Kyung Kim, et al.. (2024). Elevated Risk of Stroke in Young Adults After Traumatic Brain Injury: A Nationwide Study of 1 Million Individuals. Journal of the American Heart Association. 13(16). e033453–e033453.

Kim, Hakseung, et al.. (2024). NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application. Expert Systems with Applications. 261. 125364–125364. 2 indexed citations

Kim, Hakseung, et al.. (2024). Artificial Intelligence-Enhanced Neurocritical Care for Traumatic Brain Injury : Past, Present and Future. Journal of Korean Neurosurgical Society. 67(5). 493–509. 11 indexed citations

Shim, Youngbo, et al.. (2024). Should Hypertonic Saline Be Considered for the Treatment of Intracranial Hypertension? A Review of Current Evidence and Clinical Practices. Korean Journal of Neurotrauma. 20(3). 146–146. 1 indexed citations

Kim, Moinay, et al.. (2023). Nutrition Therapy for Patients With Traumatic Brain Injury: A Narrative Review. Korean Journal of Neurotrauma. 19(2). 177–177. 4 indexed citations

Kim, Moinay, et al.. (2023). Recent Updates on Controversies in Decompressive Craniectomy and Cranioplasty: Physiological Effect, Indication, Complication, and Management. Korean Journal of Neurotrauma. 19(2). 128–128. 3 indexed citations

Kim, Moinay, et al.. (2023). Optimizing Mannitol Use in Managing Increased Intracranial Pressure: A Comprehensive Review of Recent Research and Clinical Experiences. Korean Journal of Neurotrauma. 19(2). 162–162. 7 indexed citations

Kim, Moinay, Hee‐Won Jung, Eun Jin Ha, et al.. (2023). Neurocritical Care Nutrition: Unique Considerations and Strategies for Optimizing Energy Supply and Metabolic Support in Critically Ill Patients. 6(2). 84–97.

10.

Shim, Youngbo, et al.. (2023). Significant Reduction in External Ventricular Drain-Related Infections After Introducing a Novel Bundle Protocol: A Before and After Trial. Journal of Korean Medical Science. 38(50). e386–e386.

11.

Shim, Youngbo, et al.. (2023). Protein Requirement Changes According to the Treatment Application in Neurocritical Patients. Journal of Korean Neurosurgical Society. 67(4). 451–457. 1 indexed citations

12.

Shim, Youngbo, et al.. (2023). Intracranial Pressure Monitoring for Acute Brain Injured Patients: When, How, What Should We Monitor. Korean Journal of Neurotrauma. 19(2). 149–149. 12 indexed citations

13.

Kim, Moinay, et al.. (2023). The Unique Relationship between Neuro-Critical Care and Critical Illness-Related Corticosteroid Insufficiency : Implications for Neurosurgeons in Neuro-Critical Care. Journal of Korean Neurosurgical Society. 66(6). 618–631.

14.

Jeon, Jin Pyeong, Eun Pyo Hong, Eun Jin Ha, et al.. (2023). Genome-wide association study identifies novel susceptibilities to adult moyamoya disease. Journal of Human Genetics. 68(10). 713–720. 6 indexed citations

15.

Kim, Jae Hyun, Hee‐Won Jung, Moinay Kim, et al.. (2023). Clinical Application and Significance of Indirect Calorimetry in Neurocritical Care. 6(1). 1–8.

16.

Ha, Eun Jin, Hee‐Soo Kim, Eun‐Young Park, et al.. (2022). Real‐Time Evaluation of Cerebral Autoregulation Based on Near‐Infrared Spectroscopy to Predict Clinical Outcome after Bypass Surgery in Moyamoya Disease. BioMed Research International. 2022(1). 3091660–3091660. 1 indexed citations

17.

Yoo, Ga Eul, et al.. (2021). Feasibility of Synchronous Videoconferencing Interactive Singing Program for Children With Autism Spectrum Disorder During COVID-19. 18(1). 29–62. 1 indexed citations

18.

Kim, Tae Jung, Soo-Hyun Park, Hae-Bong Jeong, et al.. (2020). Optimizing Nitrogen Balance Is Associated with Better Outcomes in Neurocritically Ill Patients. Nutrients. 12(10). 3137–3137. 17 indexed citations

19.

Lee, Hong Yeul, Jinwoo Lee, Sang‐Min Lee, et al.. (2019). Effect of a rapid response system on code rates and in-hospital mortality in medical wards. SHILAP Revista de lepidopterología. 34(4). 246–254. 8 indexed citations

20.

Seo, Hyungseok, Ho Geol Ryu, Jeong-Soo Kim, et al.. (2016). Intraoperative dexmedetomidine and postoperative cerebral hyperperfusion syndrome in patients who underwent superficial temporal artery-middle cerebral artery anastomosis for moyamoya disease. Medicine. 95(52). e5712–e5712. 8 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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