Jin Mo Goo

28.0k total citations · 7 hit papers
406 papers, 15.4k citations indexed

About

Jin Mo Goo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jin Mo Goo has authored 406 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Pulmonary and Respiratory Medicine, 217 papers in Radiology, Nuclear Medicine and Imaging and 61 papers in Surgery. Recurrent topics in Jin Mo Goo's work include Lung Cancer Diagnosis and Treatment (213 papers), Radiomics and Machine Learning in Medical Imaging (140 papers) and Medical Imaging Techniques and Applications (67 papers). Jin Mo Goo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (213 papers), Radiomics and Machine Learning in Medical Imaging (140 papers) and Medical Imaging Techniques and Applications (67 papers). Jin Mo Goo collaborates with scholars based in South Korea, Ethiopia and United States. Jin Mo Goo's co-authors include Chang Min Park, Chang Hyun Lee, Jung-Gi Im, Hyungjin Kim, Hyun Ju Lee, Eui Jin Hwang, Seong Ho Park, Cornelia Schaefer‐Prokop, Heber MacMahon and Alexander A. Bankier and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jin Mo Goo

392 papers receiving 15.1k citations

Hit Papers

5 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.

Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

2017 1.5k citations Jin Mo Goo et al. Radiology profile →
Recommendations for the Management of Subsolid Pulmonary Nodules Detected at CT: A Statement from the Fleischner Society

2012 712 citations Jin Mo Goo et al. Radiology profile →
Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists

2004 629 citations Jin Mo Goo et al. Korean Journal of Radiology profile →
Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

2018 382 citations Ju Gang Nam, Sunggyun Park et al. Radiology profile →
Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

2019 289 citations Eui Jin Hwang, Sunggyun Park et al. profile →
Dual-Energy CT: New Horizon in Medical Imaging

2017 288 citations Jin Mo Goo et al. Korean Journal of Radiology profile →
Fleischner Society: Glossary of Terms for Thoracic Imaging

2024 91 citations Jin Mo Goo et al. Radiology profile →

Peers

Countries citing papers authored by Jin Mo Goo

Since Specialization

Citations

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

Fields of papers citing papers by Jin Mo Goo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Mo Goo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Diagnostic Performance of the Modified Lung CT Screening Reporting and Data System in a TB-Endemic Country 2025 ·CHEST Journal ·Hyungjin Kim, (unknown), Jinseob Kim, Nayoung Lee, Jin Mo Goo, Yeol Kim	1
2	Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms 2025 ·Korean Journal of Radiology ·(unknown), Ki Jeong Hong, Ki Hong Kim, Jin Mo Goo, Eui Jin Hwang	0
3	TMEM39A and TMEM131 facilitate bulk transport of ECM proteins through large COPII vesicle formation 2024 ·Journal of genetics and genomics ·Jee Young Sung, (unknown), Jin Mo Goo, Kyung Jin Jung, Jeong Min Chung, Hyun Suk Jung, Yong-Nyun Kim, Jaegal Shim	1
4	External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs 2024 ·Radiology Artificial Intelligence ·Jong Hyuk Lee, Dongheon Lee, Michael T. Lu, Vineet K. Raghu, Jin Mo Goo, Yunhee Choi, Seung Ho Choi, Hyungjin Kim	3
5	Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs 2023 ·European Journal of Radiology ·Seung-Jin Yoo, Hyungjin Kim, (unknown), Shohei Inui, (unknown), Ki-Deok Lee, Yo Won Choi, Jin Mo Goo, Soon Ho Yoon	5
6	AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial 2023 ·Radiology ·Ju Gang Nam, Eui Jin Hwang, Jayoun Kim, (unknown), Eun Hee Lee, Hyun Jin Kim, (unknown), Jong Hyuk Lee, Chang Min Park, Jin Mo Goo	69
7	Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial 2023 ·Korean Journal of Radiology ·Eui Jin Hwang, Jin Mo Goo, Ju Gang Nam, Chang Min Park, Ki Jeong Hong, Ki Hong Kim	15
8	Methods of Visualizing the Results of an Artificial-Intelligence-Based Computer-Aided Detection System for Chest Radiographs: Effect on the Diagnostic Performance of Radiologists 2023 ·Diagnostics ·(unknown), Eui Jin Hwang, Soojin Kim, (unknown), Taehee Lee, (unknown), (unknown), Chang Min Park, Jin Mo Goo	4
9	Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations 2022 ·Radiology ·Jong Hyuk Lee, Dongheon Lee, Michael T. Lu, Vineet K. Raghu, Chang Min Park, Jin Mo Goo, Seung Ho Choi, Hyungjin Kim	21
10	Radiologic-pathologic correlation of interstitial lung abnormalities and predictors for progression and survival 2022 ·European Radiology ·Kum Ju Chae, Myoung Ja Chung, Gong Yong Jin, (unknown), Sang Jae Noh, Hyemi Choi, Jin Mo Goo	35
11	Tissue Adequacy and Safety of Percutaneous Transthoracic Needle Biopsy for Molecular Analysis in Non-Small Cell Lung Cancer: A Systematic Review and Meta-analysis 2021 ·Korean Journal of Radiology ·Bo Da Nam, Soon Ho Yoon, Hyunsook Hong, Jung Hwa Hwang, Jin Mo Goo, Suyeon Park	9
12	CT Examinations for COVID-19: A Systematic Review of Protocols, Radiation Dose, and Numbers Needed to Diagnose and Predict 2021 ·SHILAP Revista de lepidopterología ·Jong Hyuk Lee, Hyunsook Hong, Hyungjin Kim, Chang Hyun Lee, Jin Mo Goo, Soon Ho Yoon	2
13	Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs 2021 ·Radiology ·Eui Jin Hwang, (unknown), Jong Hyuk Lee, Woo Hyeon Lim, Jae Hyun Kim, Kyu Sung Choi, Tae Won Choi, Tae‐Hyung Kim, Jin Mo Goo, Chang Min Park	25
14	Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population 2020 ·Radiology ·Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, Hyungjin Kim, Eui Jin Hwang, Jin Mo Goo, Chang Min Park	54
15	Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network 2020 ·Korean Journal of Radiology ·Seung‐Jin Yoo, Soon Ho Yoon, Jong Hyuk Lee, (unknown), (unknown), Sang Joon Park, Jin Mo Goo	27
16	Hodgkin's Lymphoma Mimicking Necrotizing Pneumonia: Case Report 2004 ·Journal of the Korean Radiological Society ·Eun‐Ah Park, Hyun Ju Lee, Jung Gi Im, Jin Mo Goo, Kun Young Lim, Chang Hyun Lee	2
17	Automated Lung Nodule Detection at Low-Dose CT: Preliminary Experience 2003 ·Korean Journal of Radiology ·Jin Mo Goo, Jeong Won Lee, Hyun Ju Lee, Seung Hwan Kim, Jong Hyo Kim, Jung‐Gi Im	47
18	Left Atrial Wall Calcification after Mitral Valve Replacement: CT Findings and Clinical Significance 2002 ·Journal of the Korean Radiological Society ·Young So, Jin Mo Goo, Kyung Hwan Kim, Jung Gi Im	1
19	Foreign Bodies in the Chest: How Come They Are Seen in Adults? 2001 ·Korean Journal of Radiology ·(unknown), Jin Mo Goo, Min Hoan Moon, Jung-Gi Im, Miyoung Kim	12
20	Tuberculosis in Patients with End-Stage Renal Disease 2001 ·Journal of the Korean Radiological Society ·Hyo‐Cheol Kim, Jin Mo Goo, Myung Jin Chung, Min Hoan Moon, Young Hwan Koh, Jung Gi Im	3

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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