Jae Il Zo

722 total citations
30 papers, 366 citations indexed

About

Jae Il Zo is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Jae Il Zo has authored 30 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 16 papers in Surgery and 5 papers in Oncology. Recurrent topics in Jae Il Zo's work include Lung Cancer Diagnosis and Treatment (17 papers), Esophageal Cancer Research and Treatment (14 papers) and Gastric Cancer Management and Outcomes (9 papers). Jae Il Zo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (17 papers), Esophageal Cancer Research and Treatment (14 papers) and Gastric Cancer Management and Outcomes (9 papers). Jae Il Zo collaborates with scholars based in South Korea, United States and Italy. Jae Il Zo's co-authors include Young Mog Shim, Hee Seok Yang, Young Zoon Kim, Jin Soo Lee, Heon Yoo, Sang-Hoon Shin, Seung Hoon Lee, Byung Ho Nam, Hong Kwan Kim and Yong Soo Choi and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Scientific Reports.

In The Last Decade

Jae Il Zo

27 papers receiving 362 citations

Peers

Jae Il Zo
Ganesh Rao United States
Michelina Casale Italy
V. Favrel France
Clara Le Fèvre France
Sabina Vennarini Italy
Sheema Chawla United States
N. Coliarakis Greece
Donald H. Baxter United States
Gianluca Mortellaro Italy
Sebastian Schotten Germany
Ganesh Rao United States
Jae Il Zo
Citations per year, relative to Jae Il Zo Jae Il Zo (= 1×) peers Ganesh Rao

Countries citing papers authored by Jae Il Zo

Since Specialization
Citations

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

Fields of papers citing papers by Jae Il Zo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Il Zo. 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 Jae Il Zo. The network helps show where Jae Il Zo may publish in the future.

Co-authorship network of co-authors of Jae Il Zo

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Il Zo. A scholar is included among the top collaborators of Jae Il Zo 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 Jae Il Zo. Jae Il Zo 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
1.
2.
Baek, Seung‐Kuk, Kyunga Kim, Sung Yong Park, et al.. (2025). Application of network analysis and association rule mining for visualizing the lymph node metastasis patterns in esophageal squamous cell carcinoma. Scientific Reports. 15(1). 5415–5415.
3.
Park, Sung Yong, Jaeseung Shin, Yeong Jeong Jeon, et al.. (2024). Surgical outcomes and survival following esophagectomy for squamous cell carcinoma with or without liver cirrhosis: retrospective cohort study. International Journal of Surgery. 110(5). 2894–2901. 2 indexed citations
4.
Hwang, Soohyun, Tae Hee Hong, Hong Kwan Kim, et al.. (2024). PD‐L1 expression in resected lung adenocarcinoma: prevalence and prognostic significance in relation to the IASLC grading system. Histopathology. 84(6). 1013–1023. 1 indexed citations
5.
Park, Sung Yong, Jung Hee Lee, Yeong Jeong Jeon, et al.. (2023). Clinical and Pathologic Supraclavicular Lymph Node Metastases in Esophageal Squamous Cell Carcinoma Treated by Esophagectomy with Three-Field Lymph Node Dissection. Annals of Surgical Oncology. 31(5). 3399–3408. 4 indexed citations
6.
Park, Sung Yong, Jung Hee Lee, Dongryul Oh, et al.. (2023). Prognostic role of pathologic status other than complete response after neoadjuvant therapy followed by surgery in esophageal squamous cell carcinoma. Esophagus. 21(1). 51–57. 3 indexed citations
7.
Park, Sung Yong, Hong Kwan Kim, Yeong Jeong Jeon, et al.. (2023). The Role of Adjuvant Chemotherapy after Neoadjuvant Chemoradiotherapy Followed by Surgery in Patients with Esophageal Squamous Cell Carcinoma. Cancer Research and Treatment. 55(4). 1231–1239. 6 indexed citations
8.
Lee, Jung Hee, Sumin Shin, Hong Kwan Kim, et al.. (2022). Video-assisted thoracoscopic lobectomy versus open lobectomy in the treatment of large lung cancer: propensity-score matched analysis. Journal of Cardiothoracic Surgery. 17(1). 2–2. 13 indexed citations
9.
Kim, Min Soo, Sumin Shin, Hong Kwan Kim, et al.. (2022). Role of intraoperative feeding jejunostomy in esophageal cancer surgery. Journal of Cardiothoracic Surgery. 17(1). 191–191. 5 indexed citations
10.
Choi, Yong Soo, Tae Hee Hong, Min Soo Kim, et al.. (2021). Nononcologic Mortality after Pneumonectomy Compared to Lobectomy. Seminars in Thoracic and Cardiovascular Surgery. 34(3). 1122–1131. 8 indexed citations
11.
Yun, Jae Kwang, Hyeong Ryul Kim, Yong Soo Choi, et al.. (2020). Long-term outcomes of video-assisted thoracoscopic lobectomy for clinical N1 non-small cell lung cancer: A propensity score-weighted comparison with open thoracotomy. Lung Cancer. 150. 201–208. 10 indexed citations
12.
Hong, Tae Hee, Young Tae Kim, Sumin Shin, et al.. (2020). Clinical outcomes of microscopic residual disease after bronchial sleeve resection for non–small cell lung cancer. Journal of Thoracic and Cardiovascular Surgery. 161(1). 267–277.e9. 6 indexed citations
13.
Hyun, Seung Hyup, Seung Hwan Moon, Kyung Soo Lee, et al.. (2019). Diagnostic value of surveillance 18F-fluorodeoxyglucose PET/CT for detecting recurrent esophageal carcinoma after curative treatment. European Journal of Nuclear Medicine and Molecular Imaging. 46(9). 1850–1858. 3 indexed citations
14.
15.
Yun, Jae Kwang, Geun Dong Lee, Hyeong Ryul Kim, et al.. (2019). A nomogram for predicting recurrence after complete resection for thymic epithelial tumors based on the TNM classification: A multi‐institutional retrospective analysis. Journal of Surgical Oncology. 119(8). 1161–1169. 8 indexed citations
16.
Yang, Bumhee, Hyun Lee, Sang‐Won Um, et al.. (2018). Incidence of brain metastasis in lung adenocarcinoma at initial diagnosis on the basis of stage and genetic alterations. Lung Cancer. 129. 28–34. 29 indexed citations
17.
Yang, Bumhee, Byung Woo Jhun, Sun Hye Shin, et al.. (2018). Comparison of four models predicting the malignancy of pulmonary nodules: A single-center study of Korean adults. PLoS ONE. 13(7). e0201242–e0201242. 22 indexed citations
18.
Park, Byungjoon, Jong Ho Cho, Hong Kwan Kim, et al.. (2018). Long‐term survival in locally advanced non‐small cell lung cancer invading the great vessels and heart. Thoracic Cancer. 9(5). 598–605. 10 indexed citations
19.
Lee, Hyun, Bumhee Yang, Bo Da Nam, et al.. (2017). Treatment outcomes in patients with extranodal marginal zone B-cell lymphoma of the lung. Journal of Thoracic and Cardiovascular Surgery. 154(1). 342–349. 15 indexed citations
20.
Park, Byungjoon, Genehee Lee, Hong Kwan Kim, et al.. (2015). A retrospective comparative analysis of elderly and younger patients undergoing pulmonary resection for stage I non-small cell lung cancer. World Journal of Surgical Oncology. 14(1). 13–13. 17 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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