Jaesung Heo

648 total citations
51 papers, 444 citations indexed

About

Jaesung Heo is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jaesung Heo has authored 51 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jaesung Heo's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Cancer survivorship and care (8 papers). Jaesung Heo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Cancer survivorship and care (8 papers). Jaesung Heo collaborates with scholars based in South Korea and United States. Jaesung Heo's co-authors include O Kyu Noh, Mison Chun, Young‐Taek Oh, Logyoung Kim, Oyeon Cho, Jun Eun Park, Rae Woong Park, Hyun Woo Lee, Kwang Wook Suh and Kyung‐Yul Lee and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jaesung Heo

46 papers receiving 437 citations

Peers

Jaesung Heo

ONCOL

PRM

SURGE

RNMI

GHP

Minjoung Monica Koo United Kingdom

Krishna Sharan India

Jaume Grau Spain

Ronica H. Nanda United States

Jammbe Musoro Belgium

Stefan Schiele Germany

Jae Ill Zo South Korea

Francis Ho Singapore

Samuel WD Merriel United Kingdom

C. Louzado Canada

Minjoung Monica Koo United Kingdom

Jaesung Heo

329 ×1.6

ONCOL

89 ×0.8

PRM

40 ×0.5

SURGE

33 ×0.6

RNMI

45 ×1.0

GHP

Citations per year, relative to Jaesung Heo Jaesung Heo (= 1×) peers Minjoung Monica Koo

Countries citing papers authored by Jaesung Heo

Since Specialization

Citations

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

Fields of papers citing papers by Jaesung Heo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaesung Heo

This figure shows the co-authorship network connecting the top 25 collaborators of Jaesung Heo. A scholar is included among the top collaborators of Jaesung 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 Jaesung Heo. Jaesung 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

Lim, Joo Han, et al.. (2024). A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis. In Vivo. 38(6). 2864–2872.

Kim, Chul‐Ho, Jin Roh, Seulgi You, et al.. (2024). Deep learning–radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients. Scientific Reports. 14(1). 922–922. 17 indexed citations

Heo, Jaesung, et al.. (2023). Quantum-secured single-pixel imaging with enhanced security. Optica. 10(11). 1461–1461. 11 indexed citations

Heo, Jaesung, Young Taik Oh, O Kyu Noh, Mison Chun, & Hyun Joo Jang. (2023). PO-1407 AI model for predicting tumor response in rectal cancer using magnetic resonance imaging.. Radiotherapy and Oncology. 182. S1136–S1137.

Heo, Jaesung, Jun Eun Park, O Kyu Noh, & Yunmi Shin. (2022). Psychiatric disorders among children with acute lymphoblastic leukemia in South Korea: a nationwide population-based longitudinal study. Journal of International Medical Research. 50(1). 3629136151–3629136151. 3 indexed citations

Heo, Jaesung & O Kyu Noh. (2022). Prognostic Significance of Initial Absolute Lymphocyte Count in Adjuvant Radiotherapy for Pancreatic Adenocarcinoma. Biomedicines. 10(9). 2190–2190. 1 indexed citations

Choi, Jin‐Hyuk, Seok Yun Kang, Hyun Woo Lee, et al.. (2022). Analysis of thromboembolic events in head and neck cancer patients who underwent concurrent chemoradiotherapy with cisplatin. The Korean Journal of Internal Medicine. 37(3). 653–659. 2 indexed citations

Kang, Danbee, Nayeon Kim, Seok Jin Nam, et al.. (2022). Effectiveness of Self-Assessment, TAilored Information, and Lifestyle Management for Cancer Patients’ Returning to Work (START): A Multi-center, Randomized Controlled Trial. Cancer Research and Treatment. 55(2). 419–428. 3 indexed citations

Noh, O Kyu & Jaesung Heo. (2021). Mental Disorders in Nasopharyngeal Carcinoma Patients Receiving Radiation Therapy: A Nationwide Population-based Study. In Vivo. 35(5). 2901–2908. 4 indexed citations

10.

Heo, Jaesung, et al.. (2021). COVID-19 pandemic: a new cause of unplanned interruption of radiotherapy in breast cancer patients. Medical Oncology. 39(1). 5–5. 8 indexed citations

11.

Heo, Jaesung, O Kyu Noh, Mison Chun, Young‐Taek Oh, & Logyoung Kim. (2019). Psychological distress among prostate cancer survivors in South Korea: A nationwide population‐based, longitudinal study. Asia-Pacific Journal of Clinical Oncology. 16(2). e125–e130. 7 indexed citations

12.

Heo, Jaesung, et al.. (2019). Metabolic comorbidities and medical institution utilization among breast cancer survivors: a national population-based study. The Korean Journal of Internal Medicine. 35(2). 421–428. 8 indexed citations

13.

Heo, Jaesung, et al.. (2019). Prevalence of Endocrine Disorders in Childhood Brain Tumor Survivors in South Korea. In Vivo. 33(6). 2287–2291. 5 indexed citations

14.

Heo, Jaesung, et al.. (2018). Psychiatric comorbidities among endometrial cancer survivors in South Korea: a nationwide population-based, longitudinal study. Journal of Gynecologic Oncology. 30(2). e15–e15. 8 indexed citations

15.

Ahn, Jung Hwan, et al.. (2018). Analysis of trends in usage of analgesics and sedatives in intensive care units of South Korea. Medicine. 97(35). e12126–e12126. 7 indexed citations

16.

Heo, Jaesung, Mison Chun, Young‐Taek Oh, O Kyu Noh, & Logyoung Kim. (2017). Psychiatric comorbidities among breast cancer survivors in South Korea: a nationwide population-based study. Breast Cancer Research and Treatment. 162(1). 151–158. 18 indexed citations

17.

Noh, O Kyu, Young‐Taek Oh, Mison Chun, et al.. (2016). Comparison of concurrent chemoradiotherapy versus sequential radiochemotherapy in patients with completely resected non-small cell lung cancer. Radiation Oncology Journal. 34(3). 202–208. 4 indexed citations

18.

Heo, Jaesung, et al.. (2016). Social Media Use for Cancer Education at a Community-Based Cancer Center in South Korea. Journal of Cancer Education. 33(4). 769–773. 24 indexed citations

19.

Heo, Jaesung, Young‐Taek Oh, O Kyu Noh, et al.. (2016). Nodal tumor response according to the count of peripheral blood lymphocyte subpopulations during preoperative chemoradiotherapy in locally advanced rectal cancer. Radiation Oncology Journal. 34(4). 305–312. 10 indexed citations

20.

Lee, Hyun Woo, O Kyu Noh, Young‐Taek Oh, et al.. (2015). Radiation Therapy–First Strategy After Surgery With or Without Adjuvant Chemotherapy in Stage IIIA-N2 Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 94(3). 621–627. 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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