In‐Seob Lee

2.5k total citations
84 papers, 1.4k citations indexed

About

In‐Seob Lee is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Gastroenterology. According to data from OpenAlex, In‐Seob Lee has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pulmonary and Respiratory Medicine, 43 papers in Surgery and 36 papers in Gastroenterology. Recurrent topics in In‐Seob Lee's work include Gastric Cancer Management and Outcomes (64 papers), Gastrointestinal Tumor Research and Treatment (34 papers) and Metastasis and carcinoma case studies (34 papers). In‐Seob Lee is often cited by papers focused on Gastric Cancer Management and Outcomes (64 papers), Gastrointestinal Tumor Research and Treatment (34 papers) and Metastasis and carcinoma case studies (34 papers). In‐Seob Lee collaborates with scholars based in South Korea, United States and Japan. In‐Seob Lee's co-authors include Byung Sik Kim, Jeong Hwan Yook, Kyung Won Kim, Jimi Huh, Youngbin Shin, Koeun Lee, Hee Sung Kim, Yu Sub Sung, Kwon‐Ha Yoon and Sol Lee and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

In‐Seob Lee

74 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
In‐Seob Lee South Korea 21 786 601 330 294 223 84 1.4k
Kazuya Kawai Japan 15 230 0.3× 674 1.1× 75 0.2× 38 0.1× 39 0.2× 75 943
Amber L. Shada United States 16 101 0.1× 323 0.5× 210 0.6× 97 0.3× 165 0.7× 43 670
Marta Sandini Italy 23 383 0.5× 759 1.3× 25 0.1× 347 1.2× 810 3.6× 67 1.3k
Yun‐Suhk Suh South Korea 28 1.5k 1.9× 1.1k 1.9× 583 1.8× 160 0.5× 459 2.1× 120 2.3k
J. Miholiċ Austria 16 367 0.5× 722 1.2× 124 0.4× 162 0.6× 144 0.6× 56 1.1k
Keisuke Okamura Japan 20 589 0.7× 764 1.3× 62 0.2× 24 0.1× 641 2.9× 150 1.3k
Yu-Yin Liu Taiwan 19 458 0.6× 432 0.7× 181 0.5× 140 0.5× 196 0.9× 48 994
Yannick Cerantola Switzerland 16 455 0.6× 1.1k 1.9× 30 0.1× 413 1.4× 332 1.5× 46 1.7k
Carlos Simón Spain 18 338 0.4× 362 0.6× 33 0.1× 72 0.2× 86 0.4× 73 1.1k
M. Cristallo Italy 18 228 0.3× 700 1.2× 44 0.1× 118 0.4× 284 1.3× 54 985

Countries citing papers authored by In‐Seob Lee

Since Specialization
Citations

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

Fields of papers citing papers by In‐Seob Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Seob Lee. 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 In‐Seob Lee. The network helps show where In‐Seob Lee may publish in the future.

Co-authorship network of co-authors of In‐Seob Lee

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Seob Lee. A scholar is included among the top collaborators of In‐Seob Lee 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 In‐Seob Lee. In‐Seob Lee 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.
Yook, Jeong Hwan, Moon‐Won Yoo, Beom Su Kim, et al.. (2025). Life expectancy of patients with early gastric cancer who underwent curative gastrectomy: comparison with the general population. Scientific Reports. 15(1). 5229–5229.
2.
Lee, Ji Sung, Sa-Hong Min, Chung Sik Gong, et al.. (2025). Proposal of age definition for early-onset gastric cancer based on the Korean Gastric Cancer Association nationwide survey data: a retrospective observational study. Annals of Surgical Treatment and Research. 108(4). 245–245.
3.
Min, Sa-Hong, Chung Sik Gong, Beom Su Kim, et al.. (2024). Textbook Outcome of Delta-Shaped Anastomosis in Minimally Invasive Distal Gastrectomy for Gastric Cancer in 4,505 Consecutive Patients. Journal of the Korean Gastric Cancer Association. 24(3). 341–341. 2 indexed citations
4.
Yook, Jeong Hwan, Moon‐Won Yoo, Beom Su Kim, et al.. (2023). Analysis of risk factors affecting long-term survival in elderly patients with advanced gastric cancer. Aging Clinical and Experimental Research. 35(10). 2211–2218. 2 indexed citations
5.
Chung, Heewon, Yousun Ko, In‐Seob Lee, et al.. (2023). Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry. Journal of Cachexia Sarcopenia and Muscle. 14(2). 847–859. 24 indexed citations
6.
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8.
Kim, Byung Sik, Jeong Hwan Yook, Beom Su Kim, et al.. (2023). Safety evaluation of curative gastrectomy for gastric cancer patients who underwent liver transplantation: a comparative study with conventional gastrectomy for gastric cancer patients. World Journal of Surgical Oncology. 21(1). 145–145. 1 indexed citations
9.
Kim, Kyung Won, Jimi Huh, Jinseok Lee, et al.. (2023). Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry. Journal of the Korean Gastric Cancer Association. 23(3). 388–388. 6 indexed citations
10.
11.
Lee, In‐Seob, Hoon Hur, Mitsuro Kanda, et al.. (2021). Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer. Clinical Cancer Research. 27(8). 2292–2300. 24 indexed citations
12.
13.
Lee, In‐Seob, et al.. (2019). Surgical Outcomes and Follow-Up Results of 100 Cases of Laparoscopic Total Gastrectomy Using the Overlap Method with Stapled Closure. Daehan nae'si'gyeong bog'gang'gyeong oe'gwa haghoeji/Journal of minimally invasive surgery. 22(4). 150–156. 4 indexed citations
14.
Park, Hyo Jung, Youngbin Shin, Jisuk Park, et al.. (2019). Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography. Korean Journal of Radiology. 21(1). 88–88. 97 indexed citations
15.
Lee, In‐Seob, et al.. (2013). An Inflammatory Pseudotumor of the Stomach. 139–140.
16.
Kim, Hee Sung, et al.. (2013). Comparison of Totally Laparoscopic Total Gastrectomy and Open Total Gastrectomy for Gastric Cancer. Journal of Laparoendoscopic & Advanced Surgical Techniques. 23(4). 323–331. 63 indexed citations
17.
Oh, Seong Tae, et al.. (2013). Appropriate gastrectomy resection margins for early gastric carcinoma. Journal of Surgical Oncology. 109(3). 198–201. 21 indexed citations
18.
Lee, In‐Seob, et al.. (2012). Modified Techniques and Early Outcomes of Totally Laparoscopic Total Gastrectomy with Side-to-Side Esophagojejunostomy. Journal of Laparoendoscopic & Advanced Surgical Techniques. 22(9). 876–880. 21 indexed citations
19.
Lee, In‐Seob, Tae‐Hwan Kim, Jeong Hwan Yook, et al.. (2012). A Triangle Method: Simple Suture Retraction for the Left Lobe of the Liver During Laparoscopic Gastric Surgery. Journal of Laparoendoscopic & Advanced Surgical Techniques. 22(10). 989–991. 14 indexed citations
20.
Kim, Hee Sung, et al.. (2012). Comparison of Totally Laparoscopic Total Gastrectomy and Laparoscopic-Assisted Total Gastrectomy Methods for the Surgical Treatment of Early Gastric Cancer Near the Gastroesophageal Junction. Journal of Laparoendoscopic & Advanced Surgical Techniques. 23(3). 204–210. 34 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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